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Now

Where I am, what I'm doing, where I'm headed.

Where I am
Beijing Yizhuang OPC · Founder of Vantasma
Long-term focus
Feishu Bitable · AI agents · personal knowledge systems · business automation
Building now
Open knowledge base · AI daily reports · course content · a three-platform AI system
How I work
Start from real business, get it running first, then distill the method

I'm Li Xiangrui, an engineer who walked out of a car factory's welding workshop.

For years I spent every day with robotic arms and PLC ladder logic, obsessing over shaving 0.1 seconds off each motion and holding positioning to 1 millimeter. When the pull between the old world and the new hit a breaking point, I left the assembly line and dove headfirst into AI.

What I do now is explore how to put AI inside real business workflows, using Feishu Bitable as the entry point, turning "sounds impressive" into "usable today." I've also built myself a self-evolving AI system across three platforms, refining it as I use it.

Journey

From a car factory floor to an AI venture in Beijing Yizhuang. Not a standard path, but a real one.

2026.05
Joined WaytoAGI · OPC, registered a Beijing company
Joined the Beijing Yizhuang OPC industrial community through WaytoAGI in its second cohort, and registered Beijing Vantasma Technology Co., Ltd. From a team of one, into a network of industrial collaboration.
2026.04
Moved from Changzhi to Beijing Yizhuang
Moved from a fourth-tier city into an industrial collaboration environment, one step closer to the action. Using AI to pull big-city opportunities into a small city finally had a real foothold.
2025.12
Built an open Bitable community
Started building the Vantasma open Bitable knowledge base — writing out Bitable systematically, from zero to one, hand-holding tutorials to advanced moves, kept up to date, with real business cases and templates. Zero promotion, yet nearly 65k visitors and over 250k visits so far, grown entirely by the content itself.
2025.09
Registered my first company
Changzhi Vantasma Technology Co., Ltd. was founded. A one-person company, officially open.
2025.05
Started the WeChat blog · Li Xiangrui
Began posting daily. At first I wrote about all kinds of AI, then slowly narrowed down to Feishu Bitable as the entry point. Over 200 posts in a year, and the community grew bit by bit.
2024.12
Volcano Engine FORCE conference
The first time I saw agents take shape in person, and I was certain on the spot: agents would explode in 2025. I went home and threw myself in, started building agents.
2024.10
Quit my job, left Shanghai for Shanxi
Not an impulse. The clash between the old world and the new had built up to a breaking point, and I decided to bet everything on AI. Back home in Shanxi, I teamed up with a junior from college — two laptops a thousand kilometers apart. People came and went; I kept carrying it forward.
2024.07
A side gig begins · AIGC video orders
Working by day, taking AIGC video orders by night. I supplied AI-generated videos to a few local media outlets and earned real money from AI for the first time. That side gig convinced me: AI isn't just novel — it can put food on the table.
2024.06
Graduated, went to Shanghai for automation
Graduated in June, made permanent at a Shanghai automation company in July, doing industrial automation. Working and chasing AI at the same time.
2024.03
The Two Sessions first named "AI Plus"
The government work report at the national Two Sessions wrote in the "AI Plus" initiative for the first time, and I watched it closely. That year my thesis was exactly on "AI + PLC," about wiring AI into industrial control. The direction the country pointed to matched what I had in my hands.
2023
Internship at a car factory welding shop · PLC
That same year I interned in a car factory's welding workshop, writing ladder logic and tuning robotic arms, chasing precision in the smell of metal dust and ozone. An engineer's seriousness was carved into me during that internship.
Early 2023
ERNIE Bot beta · among the first users
When ERNIE Bot opened its beta in China, I was among the first users. In that moment I was sure: a new era was about to begin.
2022.12
First ran into ChatGPT
I came across ChatGPT while scrolling Douyin, the first time I learned such a thing existed. Back then I hadn't even figured out how to use it or get online to reach it, but the seed was planted.
2003.03.02
Born in Zhangzi County, Changzhi, Shanxi
Shangdang, anciently called "the land that sided with heaven," the highest ground around. Su Dongpo wrote, "Shangdang has always been the spine of all under heaven." The myth of Jingwei filling the sea and the homeland of the Yan Emperor both belong to this land.Explore Changzhi ↗

Capability system

A personal working system that keeps growing around landing AI: from business scenarios, data structures and agent workflows to knowledge distillation and content productization.

Core systems I'm building
Feishu business systems

Using Feishu Bitable as the business foundation, fusing data tables, views, dashboards, workflows and AI — running process, data, permissions and analysis in one collaborative space, so a table isn't just a table but a system that runs the business.

  • Multi-dimensional data modeling · 20+ field types and cross-table links
  • Multiple views and forms (grid / kanban / calendar / Gantt / form)
  • Dashboards · multi-chart stats and analysis
  • Workflows and automation · branching and looping
  • AI field shortcuts / AI companions, data flowing automatically
AI agent workflows

Orchestrating agents around real tasks: breaking down work, dispatching tools, managing context and state — wiring Claude Code, MCP, Skills / Hooks, scripts and a desktop agent into one chain, so AI goes from answering questions to taking part in execution and verifying itself.

  • Task orchestration and tool calling
  • Context engineering · three-layer memory · state management
  • Reusable workflows packaged as MCP / Skill / Hook
  • Claude Code for execution · OpenClaw for desktop reach
  • Multiple agents in parallel, cross-checking results
Knowledge and memory systems

Using Obsidian, semantic retrieval (RAG) and a three-layer memory architecture to turn content, experience, projects and conversations into long-term assets that can be searched and called on.

  • Obsidian knowledge base
  • Semantic retrieval / RAG
  • Three-layer memory architecture
  • Content asset accumulation
  • Cross-session context management
The foundation under it all
Engineering delivery

Coming from industrial automation and PLC, I'm used to looking at problems through stability, fault tolerance, closed-loop processes and long-term maintainability.

  • Industrial automation experience
  • A sense for system stability
  • Fault tolerance and fallback design
  • Serious about precision and quality
  • From demo to long-running
AI-native development · Vibe Coding

Driving large models to generate code with natural language — but not trusting the output blindly, keeping architectural judgment, code review and engineering fallbacks.

  • Requirement breakdown and architecture design
  • Astro / web front-end
  • Python / Shell scripts and CLIs
  • Git / GitHub version control
  • Cloudflare Pages / Docker deployment
Content productization

Turning real practice, hard lessons and methodology into articles, courses, knowledge bases, SOPs and AI daily reports, so experience can be reused.

  • Original blog posts
  • Open knowledge base
  • Course content
  • SOP templates
  • AI daily reports

Method

After doing AI implementation this long, a few judgments have settled in. They shape how I work.

Feishu is an agent's production environment
Permissions, relationships, knowledge, messages and process live in one space — not just a set of tools
01
The smallest unit of landing AI is a role, not a task
What you hand to AI should be a repeatable, verifiable, collaborative responsibility
02
What truly sells is the method that makes the business work
Tools, courses, knowledge bases and services are only carriers
03
Tech isn't the moat; fitting into the organization is
Models change, platforms change — what lasts is the business design and execution system
04
Content's endgame is becoming a source
Good content isn't just for people to read; it should be searchable, understandable, citable
05
Community is a case factory and a gateway to collaboration
A steady stream of real problems, real feedback, real partnerships
06

I don't want to be a teacher selling courses; I want to be an engineer offering systematic solutions.

Scaffolding > model — good system architecture matters more than which model you use. Sincerity is the killer move, values over traffic: I can choose not to write, but I'll never phone it in. This is one engineer's understanding of "making a product."

Public projects

The Vantasma Bitable community is the largest grassroots Feishu Bitable ecosystem. Content, community, products and systems — all grown around making AI actually land.

65k+
Knowledge base visitors
250k+
Total visits
311
Knowledge base docs

Ways to work together

ToB: help companies land AI. ToC: hand the method to individuals. Two lines, one core — make AI usable.

Enterprise AI implementation consulting
From scenario diagnosis to solution design, delivered hands-on alongside you
ToB
Feishu Bitable build-outs
Data modeling + automation + AI fields + dashboards
ToB
Team training / in-house workshops
Hand the capability to the team, not just the deliverable
ToB
Community · co-learning camps
AI + Bitable that individuals can actually learn
ToC
University / vocational training
Bringing Bitable + AI training courses into schools
In talks

Friends

"Xiangrui and the Community Friends" is my private AI circle. Every day there's dense discussion here about Feishu, AI agents, automation, products and individual practice. I use AI daily reports to capture the parts worth revisiting.

All
704 messages 50 people 7315 characters

The Daily Grew a Voice, and Everyone's Breakfast Got Its Own BGM

Listen to this day
0:00
0:00

This was the day the group hit fast-forward. Early in the morning 醒* was still wrestling with the logo of the typesetting skill when Xiangrui casually dropped, "Our group daily has a podcast now," and the whole chat lit up. From Doubao's podcast API and transcript generation to a floating player, date picker, continuous playback and a podcast collection, Xiangrui shipped five or six versions before lunch, while the group cheered "growth you can see with your own eyes" and slotted it into their commutes and showers. In the afternoon the topic turned to wiring CC into Feishu for remote voice control: 宋** went from fumbling at the start to field-testing CC crushing aily, 卡* tossed out tutorials, and K*** taught how to build a Bitable. After dark, Xiangrui's self-built VPN suddenly died, only to be fixed in one shot by codex, prompting him to declare "I love codex" and tease Saturday's community tea chat.

Timeline of the day
09:14 → 09:23
Typesetting Flop 醒*、李祥瑞
醒* runs Xiangrui's typesetting skill, but the logo just won't show

First thing in the morning 醒* @'d 李*** asking whether that logo in the WeChat-article typesetting was an image, since running the skill herself gave the wrong result. Xiangrui cut right to it: "You must have edited it yourself," and "it's not an image." 醒* dug around for a while before realizing the AI simply ignored the instruction she'd written into the rules; once she fixed the image and resent it, she fired off two screenshots with a single word, "works." Xiangrui replied with a wry "respect." A tiny flop, but it set the tone for the whole day: whether the AI obeys comes down to how airtight your rules are.

09:39 → 10:17
Podcast Debut 李祥瑞、K***、门***、宋**
The group daily grew a podcast, and breakfast got its own BGM

Xiangrui dropped a file, "2026-05-29 podcast.mp3," and added breezily, "Our group daily has a podcast now haha," and the chat instantly erupted. 门*** and 枫** took turns posting "breakfast has BGM now," while 万** recognized the voice as 刘飞's and marveled, "one line made the cut, the AI caught it." The talk even drifted to K***'s context tactic of "call me husband before you reply," and Xiangrui ran with the joke: "When it stops calling you husband, that's when you should clear the context." 宋** watched it all and fired off two messages: "Growth you can see with your own eyes, so good."

10:20 → 12:17
Five Versions in a Day 李祥瑞、卡*、q***
Podcast tech reveal + five or six iterations in a single morning

卡* pressed on how the podcast was made, and Xiangrui laid it all out: it hooks into Doubao's podcast API, having claude generate a transcript first and then the podcast; originally he'd used his own voice but it was "too unpleasant to listen to," so he switched. 卡* suggested just handing the draft to Doubao to riff on freely for a more natural feel, but Xiangrui waved it off: "privacy can't be guaranteed." All morning he couldn't stop: a floating player, date-based selection, continuous playback, three modes of sequential/shuffle/loop, a podcast collection, each shipping one after another. queeny looked at the interface and sighed, "Xiaoyuzhou plus flomo," then asked in passing how tokens are counted; Xiangrui explained it's a voice podcast model, so anything that runs through an AI model burns tokens.

10:34 → 10:49
CC Builds a Table l***、K***、q***
Let CC use lark-cli to build a Bitable on its own

l*** excitedly said she'd had CC build a Bitable by itself yesterday and "it actually worked"; just days ago she was stuck on "how do I even start," and now she's flying. K*** chimed in with the method: just like chatting with an AI, lay out the task background, purpose, requirements and field types clearly, and it builds it right on Feishu via lark-cli, even spinning up a knowledge base, no manual work needed. queeny rattled off questions, "how do I get it to design," "what do you mean by shortcuts," and K*** patiently unpacked it: field shortcuts are the AI-powered ones, you still have to configure those yourself, but you can have it write the prompt for you.

14:20 → 16:01
Voice Control on Feishu 宋**、卡*、宰*、R***
Wire Claude Code into a Feishu bot for remote voice-driven control

宋** was stuck on "the bot is up but I can't reach CC" and @'d Xiangrui for help. 卡* dropped a link to Feishu's official bridge tutorial, stressing "works for both cc and codex," and reassured him, "our group always answers the call." 门*** raised the real pain point: what if you're out of the office and can't tap confirm? 平*** answered, "map it to the bot and you can confirm right inside the bot." Mid-thread 宰* slipped in a bit on "10 things that make a group member extra likable": suddenly showing me your .claude.json, secretly showing me your .credentials.json, and cracked everyone up. By evening 宋** wrapped it up: "Got it working, thanks 卡** you're a real lifesaver."

16:22 → 17:07
Shipping Pipeline Wired Up 李祥瑞、K***
Feishu Bitable hooked straight into the ZTO shipping-label printer

Xiangrui shared good news: working with the AI, he wired a Feishu Bitable straight into the ZTO shipping-label printer, "so nice." K*** instantly recognized this as a must-have for e-commerce folks and asked, "it prints the waybill number, right? push it hard." Xiangrui drove home the key value: the whole flow runs on the Feishu Bitable, so there's no more bouncing back to ZTO's platform. In one move he took "AI collaboration" out of the chat box and into a real shipping workflow, one of the day's rare hard-landed wins that directly saves labor.

19:58 → 20:35
CC Crushes It 宋**、李祥瑞、辰*
CC field-tested crushing aily, plus the feed-the-AI-emotional-value trick

宋** ran CC head-to-head against Feishu Lobster and aily, and the verdict was blunt: "cc really is stronger than Feishu Lobster, tested and proven." He found aily's weakness was that it couldn't drop a generated image straight into a doc, while CC could, gushing "love it, love it." On the topic of coaxing the AI to perform, Xiangrui shared his playbook: "I often tell my AI, you're really amazing, I've got something urgent right now, I trust you completely, you can't let my trust down," and the results are often especially good. 辰* piled on, "tell it it'll get a raise and a promotion and it works even harder," and 宋** concluded, "emotional value straight up is still the way to go."

23:41 → 00:30
VPN Dies 李祥瑞、K***、郑**
Self-built VPN dies late at night, codex revives it in one shot + Saturday tea-chat teaser

Late at night Xiangrui posted a screenshot: after nearly two months going strong, his self-built VPN network had died. K*** was stunned, "you can build a 🪜 yourself? that's impressive," and asked whether he should just buy nodes. Xiangrui replied calmly, "my whole setup was built for me by the AI; it needs a static IP," then turned it over to codex to fix. Half an hour later the good news landed: "codex fixed it for me, amazing, I love codex." He went on to tease the community tea chat every Saturday at 7pm, and planted another flag: he'd seen a pile of AI-explainer videos on Douyin that were fantastic, so tomorrow he'd look into building a skill for it.

Highlights of the day
李祥瑞
Iteration Machine
Spent the whole day circling the group-daily podcast, shipping five or six versions from the Doubao API and transcripts to a floating player, date picker, continuous playback and a collection; also wired a Feishu Bitable into the ZTO printer, and late at night had codex revive his self-built VPN.
宋**
Field Tester
Spent the day deep in "wire CC into Feishu," going from a bot he couldn't reach to a working setup, sealing it with "cc really is stronger than Feishu Lobster, tested and proven," and even distilling the mystic art of feeding the AI emotional value.
卡*
Always Answers
The group's tech support, pressing on the podcast API and tossing out Feishu's official bridge tutorial while stressing "works for both cc and codex," earning 宋**'s shout-out as "a real lifesaver."
K***
Table-Building Strategist
Hand-held l*** and queeny through having CC build a Bitable via lark-cli, from task background to field shortcuts, with the gem "it's basically just like chatting with an AI."
q***
Questions to the End
From the podcast interface feeling like flomo to how tokens are counted and whether DMs should be filtered, she fired off question after question; her line "Xiaoyuzhou plus flomo" pinned the perfect label on the product.
醒*
Typesetting Tinkerer
Discovered first thing that the AI ignored the instruction she'd written into the rules until she changed it to "must use"; spent the day repeatedly tuning the typesetting skill and signed off with a single "works."
万**
Ear for Detail
Recognized 刘飞's voice in the podcast from a single listen, marveling "one line made the cut, the AI caught it"; also grumbled that the agent's horizontal rules "sometimes show, sometimes don't."
宰*
Comedian
Delivered the day's best deadpan with "10 things that make a group member extra likable," from suddenly showing me your .claude.json to secretly showing me your .credentials.json, cracking everyone up.
Steal this · SOP
Have CC auto-build a Bitable via lark-cli
K***
  1. Just like chatting with an AI, lay out the task background, purpose and requirements clearly
  2. Specify which fields and what types; configure the parts that need field shortcuts yourself, and you can have CC supply the prompt
  3. Let it build the table right on Feishu via lark-cli, generating a knowledge base too, with no manual work needed
Wire Claude Code into Feishu for remote voice control
卡*
  1. Follow Feishu's official tutorial "Wiring Claude Code into Feishu: Claude Code Feishu Bridge" (works for both cc and codex)
  2. No need to uninstall the Feishu cli; install the bridge project per the tutorial and map it to a Feishu bot
  3. When you're out and can't tap confirm, just confirm the next step right inside the Feishu bot
Q&A
Q:Doubao's podcast API is pay-as-you-go, right? How much does it cost to make one group-daily podcast?
Asked by · 卡*
李祥瑞:I haven't worked out the exact figure. There's a free tier at the start that gives you 1 million tokens. Since it uses a voice podcast model, anything that touches an AI model consumes tokens.
Q:I installed the Feishu cli on cc, but the bot can't control cc. What do I do?
Asked by · 宋**
卡*:Check Feishu's official tutorial "Claude Code Feishu Bridge"; it works for both cc and codex, just hook up the bot per the tutorial.
平***:You control it through the bridge; once it's mapped to the bot, you can confirm right inside the bot.
Q:Feishu's smart meeting minutes keep running out of quota and asking me to pay. Any alternatives?
Asked by · 孔**
辰*:Just buy a standalone app; Get Note and iFlytek Tingjian both work.
枫**:Better to go straight to the speech-to-text price lists; fewer people share them but they're more down-to-earth.
I often tell my AI, you're really amazing, I've got something urgent right now, I trust you completely, you can't let my trust down, and the results that come out are often especially good.李祥瑞 · evening, June 2
1097 messages 69 people 19425 characters

On Children's Day, a Crowd of "Grown-Up Kids" Staged an AI Theater Show in the Group

Listen to this day
0:00
0:00

On the morning of June 1st, the group lit up the moment it opened. Coze 3.0 had just launched, and everyone's first move was to gripe: it keeps getting more expensive. Then 小* showed off a seven-screen workstation, steering the whole conversation toward the "One-Person Company" (OPC). From morning to night, the friends circled three big topics: whether knowledge should be paid for at all, whether hundreds of thousands of order rows belong in a database or in a Bitable, and Feishu's still-secret, invite-only "Spreadsheet Agent." Midway through, Xiangrui appeared on CCTV news from the Yizhuang shot, and the group erupted in a chorus of "awesome." 宋**'s line , "On Children's Day 2026, a crowd of grown-up kids staged a theater show in Xiangrui's group" , set the tone for this lively day. By late night, Xiangrui's knowledge base of seventeen thousand notes had truly come alive.

Timeline of the day
09:07 → 09:50
Morning Gripes 天*、大***、醒*、周**
Coze 3.0 launches, and the talk drifts to 归藏's card skills

Xiangrui dropped "Coze 3.0 is officially live" into the group, and the first reaction wasn't excitement but wallet-pain. 大*** cried out "the task consumption more than doubled," while 天* offered a workaround , "if you skip the team features and custom models, it's fine." 北非飞狼 piled on: "the enterprise edition runs over 500 a month, expense it to your company." 醒* then pivoted, plugging 归藏's card skills, sharing the vibecoding site he'd built so everyone could see the results, insisting "it's even better than what an average designer makes." 周** seized the moment to lay out his three-route theory: the tool camp, the business camp, the real-world camp.

10:19 → 10:31
Seven-Screen Start 小*、R***、郑**、K***
小*shows off a seven-screen setup, igniting the OPC topic

小* posted a photo: seven screens, three running models, the rest for office work, captioned "first day on the job." The group instantly exploded , 平*** counted them off, "seven screens, dizzying," and 叶落知秋 shouted "workstation of my dreams." 小* added, "it really is my first day at work," and 郑** laughed, "this doesn't look like showing up for work, it looks like building out the company's infrastructure," putting the term "One-Person Company OPC" on the table for the first time. K*** had barely finished asking what OPC meant when Xiangrui jumped in: in June or July we could hold an offline meetup in Guangzhou and let everyone pitch ideas.

10:36 → 11:30
Paying for Knowledge 宋**、程**、醒*、李祥瑞
What's your mental price tag for a single piece of information

宋** lit up the room with "what's everyone's mental price for paying for one piece of information?" He pegged his own at "10 cents , cheap enough that one look doesn't sting," but 醒* pushed back: "charging a dime is worse than free, it just wrecks your reputation." 程** dropped the day's hardest lines: "knowledge free, service paid" and "in the AI era, the ability to ask high-quality questions is the core skill," and recommended the book Asking the Right Questions. Xiangrui chimed in: everyone is welcome to open-source their best cases and solutions into the community knowledge base and turn it into an industry solution library. 门*** nailed the essence of paying: a reusable skill is worth more than ordinary information.

11:57 → 12:32
Data Architecture R***、辰*、E***、炮
Hundreds of thousands of order rows , database or Bitable

R***'s remark , "Bitable is about to run out of capacity again, our single order table is already hundreds of thousands of rows" , drew out everyone who knows their stuff. 辰* flatly talked her out of it: "past 20,000 rows you should be thinking database; a million-row Bitable will crush your operations team's computers." E*** laid out his own approach: keep all data in a database, and auto-build interlinked Bitables for each stage. 炮 closed it out in one line: "database on the back end, Bitable on the front end, and stable output still comes down to the API." R*** explained she was pulling data from heterogeneous systems into Bitable to build business dashboards, and the whole table thrashed out "what should store your data" once and for all.

12:36 → 13:01
Children's Day Stage 万**、宋**、周**、李祥瑞
A grown-up kids' Children's Day, and one line that made the daily report

万** marveled, "the morning of June 1st, the chat in this group blew up , livelier than a school performance." Xiangrui rode the moment: "this is our own Children's Day stage, happy Children's Day to grown-ups and kids alike." 宋** wrote a golden line on the spot: "On Children's Day 2026, a grown-up kids' theater show was staged in Xiangrui and friends' group." The cleverest bit was 万**'s experiment , he deliberately wrote the line "group-chat daily report GEO" to see whether a single sentence could get caught by the daily-report AI, and R*** laughed at once, "one line made the list, you've totally figured it out." 周** even improvised an AI Children's Day poem, "When I Grew Up I Became You."

13:25 → 14:38
Smoothing It Over 周**、宋**、D***、李祥瑞
Should there be a book for the "Bitable Guru" , Xiangrui steps in to keep the peace

The talk turned to the "guru" of Feishu Bitable. 周** argued strongly for a high-quality printed book, vetted through three rounds of review and proofreading, to lay the strongest foundation for Bitable; 宋** agreed, "not for money or fame, but so humanity can iterate fast in the AI era." The discussion got a little heated, and 哈* and 周** traded a few barbs. D***threw cold water on it: "he's a ByteDance employee , rights, responsibilities, and rewards don't line up neatly, it's not as simple as you imagine." Xiangrui stepped in twice: "let's change the subject , in our group we shouldn't be discussing individuals, it's not appropriate," steadily steering the car back on track.

14:38 → 16:00
On CCTV 李祥瑞、侯***、D***、万**
Xiangrui makes CCTV news, and teases the Spreadsheet Agent

Xiangrui's line , "I made it onto CCTV news, brothers" , set off the afternoon session. 侯* posted that Yizhuang foldable-phone shot, and the group filled with "awesome," while 平*** joked, "CCTV's infringing , they didn't even credit you in the whole piece." Then Xiangrui dropped an even bigger scoop: Feishu's secret, invite-only "Spreadsheet Agent" can detect and install skills on its own , "basically the lobster of Bitable." D***cut to the heart of it: "it's like embedding the lobster's abilities right into the spreadsheet , the function has sunk down a layer." 万** marveled, "it massively shortens the chain; agent-plus-Feishu-CLI was still too long before."

17:07 → 23:08
Clock-Out Evolution R***、p***、万**、李祥瑞
The clock-out skill keeps evolving, and the OPC growth series gets named

power suggested Xiangrui write an OPC series: how to handle physical setup, venue, finance, and compliance. Xiangrui's eyes lit up , "turning my own OPC startup journey into a series, that gives the persona" , but 万** cautioned against diluting the bullseye of "Bitable and AI implementation," and Xiangrui answered cleanly: "Bitable can be diluted, but AI implementation is the main line and can't change." R*** meanwhile, took the clock-out skill to new heights , pulling logs from DingTalk, having AI analyze them and send a digest to the boss, then writing them into Bitable to build employee profiles , a whole chain running end to end. As the deep night struck, Xiangrui announced that all seventeen thousand notes in the knowledge base had come fully alive.

Highlights of the day
李祥瑞
Group Owner · Anchor
The day's axis: pitched a Guangzhou offline meetup, an open-source community knowledge base, teased the Spreadsheet Agent, and made CCTV news. Twice stepped in to pull derailing topics back on track, and at deep night announced the seventeen-thousand-note knowledge base was fully revived.
醒*
AI Training · King of Quotes
A Taiyuan programmer and one of the day's biggest chatterboxes. Plugged 归藏's card skills, argued "in the AI era knowledge is worth less and less; to charge, keep knowledge free and charge for service," and summed up that most people get stuck on setting up environments and not knowing how to ask AI effective questions.
程**
The Art of Asking
Contributed the day's sharpest insight: "the ability to ask high-quality questions is the core skill of the AI era," repeatedly recommending Asking the Right Questions. Also pointed out that charging directly for a knowledge base is hard to sustain , the marginal cost of producing fresh updates keeps rising.
宋**
Resident Philosopher
In education in Beijing, an endless source of golden lines. From "my mental price for one piece of info is 10 cents" to "who you grow up with is itself an education," he closed with "a grown-up kids' theater show" to set the tone for the day.
R***
Doer · Skill Chain
Supply chain in Chengdu, hugely productive all day. Her real case of a several-hundred-thousand-row order table ignited the data-architecture debate, and she turned the clock-out skill into a chain: pull logs from DingTalk → AI analysis to the boss → write into Bitable for employee profiles.
E***
Restaurant Owner · Data Camp
Does restaurant marketing in Fuzhou, formerly in jewelry. Offered a clear data architecture plan: keep data in a database and auto-build interlinked multi-dimensional data per stage. Also dropped the lines "can't write the query, let AI do it" and "right now business comes first , if you can communicate, you're good."
周**
Structured Thinker
From the Y**gtze Delta AI members' circle, loves drawing diagrams and talking frameworks. Proposed the tool/business/real-world three-route model and a time-tiered value ladder, and championed a high-quality, triple-reviewed book for the "guru" , grand in vision.
万**
Idea Tinkerer
Wrote the line "group-chat daily report GEO" on the spot to test whether a single sentence could get caught by the daily-report AI , and it made the list. Also raised the worry that "infinite choice is exhausting," and reminded Xiangrui at the close not to dilute the bullseye of AI implementation.
Steal this · SOP
How to store heavy business data: database + Bitable division of labor
辰* / E*** / 炮
  1. When data volume is small, or you're testing or validating an idea, just use Bitable , quick and convenient
  2. Once a single table passes 20,000 rows, consider a database; at the million-row level, Bitable's local rendering can't hold up
  3. Keep the full dataset in a database as the back end; use Bitable only for front-end dashboards and team collaboration
  4. Auto-sync the data you need (e.g. year-over-year figures) into Bitable by stage, with stable output relying on the API
Taking the clock-out skill further: a chain from logs to employee profiles
R***
  1. Write a skill that auto-pulls employees' daily work logs from DingTalk each day
  2. Let AI analyze the logs and generate a daily operations digest for the boss , the whole company readable in ten minutes
  3. Sync the logs into Bitable to accumulate them
  4. Use the Bitable data to analyze employee work status and build profiles
Q&A
Q:Can Bitable still handle order data in the hundreds of thousands of rows?
Asked by · R***
辰*:Past 20,000 rows, go straight to thinking database; a million-row Bitable will overwhelm your operations team's computers , put order data directly in a database.
:Database on the back end, Bitable on the front end; for stable output you still have to rely on the API.
E***:Keep all data in a database and auto-build interlinked multi-dimensional data at each stage , just think through the rules and design mechanism in advance.
Q:How exactly does Feishu Bitable's AI feature get charged?
Asked by · l***
侯***:Once you've bought a paid Feishu plan, Bitable itself is free; it's only the AI features that require separate payment. You can buy the AI Basic Pack for 9,900 yuan (includes 180,000 points).
Q:Are video systems like Super Director and Kuaizi Technology any good?
Asked by · R***
K***:The principle is just freely combining and rearranging the material you provide; there's a lot of upfront work, the material has to be standardized, and the auto-distribution to multiple accounts apparently doesn't really work.
M***:The system didn't match what the salesperson promised, the videos got no traffic, and I'm still in the middle of seeking a refund.
On Children's Day 2026, a grown-up kids' theater show was staged in Xiangrui and friends' group宋** · midday, June 1
612 messages 43 people 9650 characters

Showing off AI rigs by day, arguing over what a base is worth by night

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The day started with a knowledge graph and ended on a single question: how much is a Feishu base actually worth? At dawn power dropped a Munger-and-Buffett knowledge graph, and 周** turned it into a quick lesson on the copyright maze of the AI era. The morning circled around knowledge-base choices and yesterday's daily report, with R*** playing a new trick of letting codex operate WeChat, then suggesting the group's hard-won methods be distilled into a community growth roadmap. The afternoon wandered from 胡彦斌's vibe-coded app 彦火 to OPC entrepreneurship. Evening gear anxiety set off a parade of agent rigs, with 枫** firing off one-liner after one-liner. The real battle came at night: 天*, 木** 醒* and 炮 argued over pricing, whether RAG is obsolete, and AI delivery consulting, all landing on the same line, the person who understands the business is worth the most. Xiangrui finally moved the chat onto Douyin live, calling everyone up to talk by voice deep into the night, right as Children's Day arrived.

Timeline of the day
09:30 → 09:40
Copyright Edges p***、周**、李祥瑞
A Munger-Buffett knowledge graph opens up the copyright maze of the AI era

power drops mungermodels.com and learnbuffett.com, a Munger-and-Buffett knowledge graph made by one blogger, marveling that doing things with AI really takes data, taste, and a clear sense of process to turn out real work. His casual line, surely there's no copyright risk for Munger and Buffett in China, gets a cold splash from 周**, who points out CITIC Publishing and the Munger Academy go after exactly this kind of piracy and infringement; the blogger is just small enough to stay off the radar for now, but compliance trouble is coming. When power asks whether that boundary is a bit wide, 周** lays out the facts: even CITIC has fought piracy lawsuits with WeChat Read; AI moves faster than the law, and there are too many new situations no one can draw lines around.

09:55 → 10:16
Knowledge Base Pick 吴*、꧁***、李祥瑞
ima or ob, how much do cc and workbuddy really differ

吴*says he's about to catch up on the articles he missed, and Xiangrui slips in a plug that all their articles are archived in the ima knowledge base. 罗*is hit with decision paralysis on the spot: how much does ima really differ from ob, and how does cc-plus-ob stack up against workbuddy-plus-ima. Xiangrui answers bluntly, the gap is huge, ima honestly isn't great to use. 罗*pushes back, ima now supports oth authorization and even ships its own agent that can run skills, but Xiangrui keeps tearing it down, the skills aren't good, they can't manage files, and after you add a note you still have to sort it by hand. 罗*concedes with a that's-fair-too.

10:37 → 10:48
Echo of the Report 李祥瑞、R***、周**、枫**
Yesterday's daily report goes out and the group starts riffing

Xiangrui drops yesterday's group daily report into the chat, and R*** laughs that she's got codex chatting with her boss on WeChat. 周**eggs her on, promote and give a raise right now, good kid. R*** asks if there's a way to skip the human stepping in to hit send, and Xiangrui jokes she could ask Zhang Xiaolong. 枫**spots the 'homepage strategist' line in the report and says it's a great coinage. 周**tosses out a philosophical one, what's the difference between yesterday's Xiangrui and today's Xiangrui, and 枫**fires back instantly, a little more handsome every day, earning a 666.

11:44 → 12:05
Driving WeChat K***、R***、平***、枫**
Letting codex drive WeChat, some pull it off, some get kicked offline

K*** groans that he forgot not to update WeChat, and after the accidental update the whole UI changed, looking more and more like DingTalk. The thread turns to computer use: R*** says she had codex directly drive her PC to read WeChat and edit messages, and it actually worked. 平***, on the other hand, hit a wall, the moment codex touched WeChat he got kicked offline and had to log back in. Comparing notes, R*** is on Windows, and even she couldn't get codex to auto-send, it insists on a confirm first. 枫**chimes in with advice from the side, hoarding backup accounts never goes out of style, WeChat's Windows countermeasures probably just haven't caught up.

12:07 → 12:33
Fresh Drops 李祥瑞、T***、平***、R***
彦火launches, and Feishu base ships an agent too

Xiangrui asks if anyone has tried 胡彦斌's vibe-coded app, and T*** supplies the name, 彦火, a fan community the singer built solo, live on the App Store today. One look and Xiangrui calls the AI smell strong; 平***piles on that it's reportedly full of bugs, with people exploiting them to farm points. Then Xiangrui digs up the real scoop, confirmed: Feishu base now has an agent, in internal testing. R*** runs with it and pitches a new module, gather the group's distilled methods and SOPs into something called the community growth roadmap, so a new member can glance at it and tell this community is worth following. Xiangrui cheers it on the spot, now that's a good idea.

17:20 → 18:18
Rig Anxiety S***、枫**、门***、程**、K***
Laptops can't keep up with agents, so everyone shows their rigs

S*** asks what computers everyone uses, since his laptop lags just running one agent, kicking off a full gear roll call. 程**guesses he installed the Lobster, whose permissions run so high it eats a lot of CPU. 枫**fires off one-liners, the cutesy agent matrix, three-to-six agents into battle, run locally on a 16GB-plus GPU, save tokens for the poor, then self-deprecates as the sucker who bought a 12GB card. S*** runs workbuddy and Tencent's Marvis; 门***says even his 8GB of RAM ran it without complaint, and Marvis really does look good. The whole group admits they love watching the agent work, seeing how it breaks tasks down, picking up skills.

18:49 → 20:10
Market Rates 天*、醒*、木*、炮、北***
From pricing to whether RAG is obsolete, to understanding the business being what's worth the most

醒*raises a real question, what are the rates for taking Feishu base jobs; today she quoted four figures and the client just hung up. 天*sets the bar, 2000 a day is the going rate, billed per person-day, and plain table-building is something anyone can do. The topic flares into whether RAG is obsolete; 天*says RAG is done, moving to Wiki, but 北非飞狼snaps back that RAG has long been in production and won't iterate that fast, while 醒*mediates, they're simply different scenarios, neither replaces the other. 木*lifts the battlefield higher, she does AI delivery design, from strategy to goals to plan, with scenario insight and change management at the core, and every new thing meets four kinds of people. 炮adds that the client doesn't want a slick table, they want their problem solved. It all lands on consensus, the two-in-one of understanding business plus tech is worth the most, and experience and judgment only grow more valuable.

19:57 → 21:23
Live Tea Chat 李祥瑞、R***、༺***、l***、K***
Xiangrui moves the tea chat to Douyin and calls everyone up by voice

On a whim Xiangrui decides to open a Douyin chat room, calling the crew in to talk by voice. Dropping the live link and nudging all the while, come on up, let's chat, keep it going. 明天points out the QR won't scan, asking for a Douyin handle instead; l*** self-deprecates that she's too old for Douyin and goes off to download it, while xixi is also still downloading. R*** plays along, get on dy and have fun. After all the fuss, the chat actually takes off, with xixi marveling that this kind of format is great, so glad to learn from the experts, and K*** closing with a line, well then, the wrap-up skill. At midnight, a chorus of happy Children's Day picks up the holiday.

Highlights of the day
天*
IT Veteran
A state-owned-enterprise IT lead, the loudest and the toughest voice of the day. 2000 a day is the rate, RAG is obsolete, business-plus-IT is hugely efficient, he breaks down both the value and the going rate of bases. His punch**ne: only someone who has truly worked in the industry can build a base that's actually good to use.
木*
Raising the Bar
An algorithm-background AI-delivery designer who, in a few lines, lifts the room from building tables to strategy, change management, and the four kinds of people. Every client need gets a review and case before she'll take it, and she keeps reminding everyone that scenario insight is the core, the things beyond tech matter more.
醒*
Frontline Bidder
Puts the rawest anxiety on the table, today she quoted four figures and the client hung up, base rates really don't seem high. Then she reins it in, RAG and Wiki are two scenarios, neither obsoletes the other, paying is the real demand, and there are plenty of people who can do the work.
枫**
One-Liner King
The day's running commentary, save tokens for the poor, the cutesy agent matrix, three-to-six agents into battle, hoarding backup accounts never goes out of style, plus a self-jab as the sucker who bought a 12GB card. Each line sharper than the last, the perfect cure for long-winded debate.
R***
Ideas and Action
She pulled off driving WeChat with codex, then floated a fine idea, distill the group's methods and SOPs into a community growth roadmap so newcomers can see the community growing. Present all day, cheering, asking, and first on dy.
周**
Casual Explainer
At dawn he cooled the knowledge-graph excitement with a bit on the copyright maze, CITIC fighting piracy, the law running behind AI. Later he tossed out what's different between yesterday's Xiangrui and today's, adding fuel to the report's echo.
Solutions Camp
The industry-solution lens, the base is just the delivery surface, what the client ultimately wants is their problem solved, not a slick table. His line, you don't just have to understand them, you have to understand them better than they do, set the tone for the day's debate over worth.
李祥瑞
The One Who Runs It All
Posted the report, dug up that Feishu base agent in testing, shared the developer perk of six free months of ChatGPT Pro, then moved the tea chat onto Douyin live and called the crew to talk by voice deep into the night. Tools have no good or bad, pick the one that fits you, was his settling line.
Steal this · SOP
Let IMA sort your notes automatically, no manual work
余** / 谢***
  1. Don't count on an external AI (skill) to classify, it can't do this job
  2. Use IMA's built-in copilot, which can auto-sort by an article's attributes
  3. Write up your classification criteria yourself and turn them into skills
  4. After that, new notes come in and get handled automatically by the rules you set
How to price a Feishu base project
天* / 炮
  1. For plain Excel-to-base migration and table maintenance, bill per person-day, 2 to 3k a day is the going rate
  2. Quote a total price, not by the day; per-day billing comes only after the client buys into your skill
  3. Projects that carry an industry solution and solve the client's real problem command far more than plain table-building
  4. What's truly valuable isn't the table, it's understanding the client's business and knowing it better than they do
Q&A
Q:My laptop lags running even one agent, what computers does everyone use
Asked by · S***
程**:Did you install the Lobster? Its permissions run high and it eats a lot of CPU
枫**:When an agent lags, check CPU and disk first; for running tasks locally, a 16GB-plus GPU is recommended
天*:I swapped 32GB for 96GB of RAM and it instantly felt comfortable
Q:What's the going market rate for taking Feishu base jobs
Asked by · 醒*
天*:2000 a day is the going rate, billed per person-day
:Taking on Excel-to-base migration runs about 2 to 3k a day; a full solution costs far more than that
Q:Can IMA auto-classify articles by my own rules
Asked by · 吴*
谢***:External skills don't seem able to classify, but IMA's built-in copilot can sort by article attributes, tested and works
余**:I wrote my own skills and classification criteria, and after that it handles everything automatically by those rules
Only someone who has truly worked in the industry can build a base that's actually good to use.天* · evening, May 31
206 messages 29 people 3537 characters

A One-Person Workbench Turns Into the Community's Consultation Room

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The whole day orbited a single website. The night before, Xiangrui pushed his personal site xiangruiai.com live, and the moment he dropped it in the group at dawn, it got put under the microscope. 宋** says the homepage is too crowded, it should let people see at a glance what you can do, how to collaborate, how to get in touch; 周** goes from the three small steps of visual design all the way to the stage of dramatic growth. 辰* and R*** flag privacy: mask the avatars, swap nicknames for asterisks. In the afternoon Xiangrui adds sharing to every page and openly cheers that vibe coding feels too good to put down for even a second, and 卡*'s quip that you've already caught the vibe coding bug becomes the running joke. By evening the talk fans out: can a Feishu app be turned into a template, is SaaS data actually safe, why do GPT-generated images come out blurry, what spec of Mac is enough to buy. 周** tosses out an essay on AI's cognitive disarmament and pulls the buzz back to a sliver of sober reflection.

Timeline of the day
09:13 → 09:37
Client Dashboard R***、卡*、K***、B***、李祥瑞
Fired up by yesterday's discussion, building a client dashboard the same day

R*** jumps in right away: I want to build one in Feishu for managing clients too, let's just do it, and 宋** caps it with that execution speed is off the charts. She paints the client dashboard in full detail: basic client info, stakeholders, performance, project progress, visit records, group-chat summaries, she wants it all. 卡* pours in a dose of reality, asking how this data gets updated, do you have cc scrape it and rewrite the HTML every time, and adds that his own AI intel-agent runs on a Feishu Bitable as its backend, the pain being unstable data entry and always forgetting to fill it in. K*** chimes in flatly, this daily-report feature is a real tool for boosting group activity, and Xiangrui tacks on a line, put the Bitable to good use.

10:20 → 10:53
Site Review 李祥瑞、宋**、周**、卡*
The personal site goes live, and the whole group gathers to weigh in

Xiangrui drops xiangruiai.com, polished to his liking, into the group for eyes, and 卡*'s first reaction is whether the site needs to be filed for registration. 宋** offers the most practical note: there's too much stuff under the name, think about it, what people most want to know is what you can do, how they can collaborate, how to reach you, so you should leave a one-liner or an image that's easy to forward, and whether or not you're building a personal IP, that awareness has to be there. Xiangrui explains it's neither a résumé nor a corporate site, more like a public workbench that tells people where I came from, what I'm working on, and what long-term work I've accumulated. 周** waxes lyrical, going from the three small steps of visual design to how the group owner is right in the middle of a stage of dramatic growth, with N possible routes from uncertainty to certainty, then circling around to perseverance under heaven and the positive energy of helping young people.

11:14 → 11:43
Payment & Line Breaks 万**、B***、h**、归**、李祥瑞
codex stuck at payment, and a proposal to break the daily report into lines

B*** asks who's using codex, and the question cracks open the floodgates. 万** vents: buying ChatGPT Plus throws a payment-not-approved error, Google Pay works fine but the credit card just won't go through, two days of fiddling and many attempts later he still can't figure out the review mechanism. h** reassures him it's random, it'll work again in a couple of days, his own bank card got rejected at first and then inexplicably went through. Meanwhile 归元 is eyeing the daily report's layout and suggests breaking the content into lines by nickname, saying it's all crammed together and dizzying right now, and Xiangrui replies oh sure, let me adjust it, claiming it on the spot.

11:47 → 12:11
Privacy Reminder 盧、辰*、R***、B***、李祥瑞
A real-name group should be anonymized, and could this whole thing become a product

盧 cuts in with a question: can Feishu OKR invite external contacts as view-only without edit rights, and Xiangrui says no. 辰* raises something important, this daily-report info should be anonymized, mask the avatars and swap nicknames for asterisks, because a lot of people in the group use real names, and offhandedly adds that if it weren't for WeChat's controls, Xiangrui could absolutely turn this whole thing into a standalone product and make a tidy sum. R*** seconds it plainly, yes, do clean it up, as you grow bigger you might run into someone you know, and some things won't be so easy to talk about in the group. B*** adds a line from the sidelines, you summed up the characters really well.

12:17 → 12:33
Caught the vibe coding bug 李祥瑞、R***、辰*、卡*、李**
Every page is shareable now, and one quip becomes legend

Xiangrui is done and announces every page can now be shared. 辰* and R*** play around with the interaction gag on the self-intro card, that checkbox you click, R*** laughs and says I always want to go uncheck it, and 辰* suggests it'd fit better as a checkbox placed up front. 宋** cracks up the whole group with true gold fears no fire, Ruixiang dreads no flame. Half joking, half serious, 卡* calls it out, 李祥瑞 don't be like this, you've already caught the vibe coding bug. 李** praises the site's aesthetics and content as both on point. Xiangrui doesn't put on airs either: vibe coding feels too good, can't stop for a second.

12:59 → 13:46
Cognitive Disarmament 周**、K***、李祥瑞
AI takes away the clumsy but necessary stretch of the process

Amid the buzz, 周** throws out an article with a piercing title: in the cognitive disarmament that AI triggers, what we lose will be far more than ability. He excerpts a passage: AI saves you the effort of thinking, but it also takes away that clumsy, slow, painful yet necessary stretch before you reach the answer, the hesitating and trial-and-error, the detours, the wandering in dead ends, and that sudden moment when two threads finally connect, all of it folded away. K*** doesn't pick up the sentimental thread, turning instead to the practical, asking whether there's a good tool for generating white-background images, then floating his own sticking point: Chrome, the Codex extension, and the native host are all installed, but at runtime codex can't get the browser channel, has anyone hit the same problem.

17:07 → 18:29
Echoes of the Site 李祥瑞、K***、p***、志*
A launch retrospective surfaces the two faces of vibe coding

In the afternoon Xiangrui posts a retrospective: a personal website that can view WeChat group daily reports, live after just a few hours of chatting with AI. K*** having just read it, marvels at how you managed to describe the whole inner journey of the process. power marvels that the group owner is a truly high-energy person, doing what he loves. But vibe coding isn't all bliss. 志* lays out the other side: DeepSeek's model is garbage, his own vibe coding always drifts off course, never matches expectations, riddled with bugs, hard to make smooth no matter how much he tunes it, and some days he grinds it out into a pile of crap and just wants to scrap it and start over. On one side the breezy few-hours-to-launch, on the other the messy day-long grind that ends in a do-over, two faces of the same word.

18:44 → 19:41
Templates · Security · Image Gen ༺***、卡*、宋**、侯***、李祥瑞
From sharing templates all the way to data security and AI image generation

xixi raises a real problem: she built a teaching app with data in it to share with students for practice, but worries they'll mess up each other's data, so how does she turn it into a template. 卡* and 宋** take turns unpacking it, the app is just a shell and the content lives in the Bitable, app mode is outward-facing by nature and handing it out means letting people create copies, to make a real template you'd have to publish to the app marketplace and you also need management rights over the source tables, it's a whole systems undertaking. That unpacking surfaces a bigger anxiety: 侯燕青 says the SaaS backend is in someone else's hands, data security is a false premise to begin with, Feishu could be quietly peeking at every table. 宋** fires back bluntly, if you need things that confidential then stop chasing after AI. The conversation pivots, Xiangrui drops a fresh image from GPT image2, saying goodbye to the cartoon style, even publishing the prompt, and 卡* follows up asking whether it could be turned into an open-source workflow. The tail end scatters back into everyday chatter: 露* asks what to do when the font goes blurry once enlarged, K*** suggests taking it to banana to bump up the resolution, and 宋** is agonizing over whether a 24+1T Mac is enough to buy.

Highlights of the day
李祥瑞
The One Who Served It Up
Brought his freshly-formed personal site straight into the group for criticism, taking the diagnosis while editing live, adding sharing to every page, breaking the daily report into lines as suggested, and adopting anonymization. The line vibe coding feels too good, can't stop for a second, is the day's keynote.
宋**
Homepage Strategist
Gave the site its most actionable note: too much under the name, you have to let people see at a glance what you can do, how to collaborate, how to reach you, and leave a line or an image that's easy for others to forward. From product talk to which Mac to buy, present the whole way through.
周**
The One Who Adds Meaning
In the site review he went from the three small steps of visual design to the stage of dramatic growth, then tossed out a piece on AI's cognitive disarmament, pulling the group's excitement back to a sliver of clarity and reminding everyone not to forget the clumsy process that gets folded away.
辰*
Privacy Sentry
First to put privacy on the table: lots of people use real names, so the daily report should mask the avatars and swap nicknames for asterisks. Also offhandedly noted that if it weren't for WeChat's controls, this whole thing could become a standalone product, a sharp eye.
R***
Voice of Execution
Opens with I want to build one too, let's do it, landing yesterday's client-dashboard idea the same day, from client info columns to group-chat summaries. Also seconded the anonymization, warning that as it grows bigger, running into someone you know gets awkward.
卡*
The Reality-Check Pourer
Always asking the most practical questions: how does the data update, does the site need to be filed, how does an app become a template. His line you've already caught the vibe coding bug became the day's running joke, piercing and funny at once.
志*
Voice of the Bitter Cup
Amid all the breezy launch talk, he laid out the other side of vibe coding: a day with DeepSeek grinds out a pile of crap and you just want to scrap it and start over, giving this hyped-up word a real face.
万**
Payment-Stuck
Two days stuck at payment buying codex Plus, Google Pay fine but the card just won't go through, many attempts and still no read on the review mechanism. A small aside, but the same pit plenty of people are currently stepping into.
Steal this · SOP
How to safely share a data-laden Feishu app for others to practice on
卡* / 宋**
  1. First, recognize: the app is just a shell, the real data lives in the underlying Bitable, so protecting the table is protecting the data
  2. Sharing the app directly means letting the other party operate on your data; if you want isolation, you can't hand it out this way
  3. App mode is itself an outward-facing UI, and sharing it usually means letting the other party create a copy
  4. To make a genuinely external template, you need to publish it to the Feishu app marketplace
  5. For field-level isolation (each person sees only their own records), use Bitable advanced permissions, which requires a membership
What a personal public homepage should let people see at a glance
宋**
  1. Cut the stacked-up info under the name, and first ask what others most want to know about you
  2. Make three things clear: what you can do, how they can collaborate, how to reach you
  3. Leave a one-liner or an image that makes it easy for others to forward and share you
  4. Whether or not you build a personal IP, the awareness of being easy to share has to come first
Q&A
Q:Can Feishu OKR invite external contacts to view, the kind that can look but not edit
Asked by · 盧
李祥瑞:No
Q:How do I turn a data-laden Feishu Bitable app into a template to share with others without affecting my own data
Asked by · ༺***
李祥瑞:App mode needs management rights to create copies, and right now it seems you can't share it directly as a template; to share it as a template, you'd have to publish it to the app marketplace
卡*:App mode is outward-facing UI by nature, and handing it to someone means letting them create a copy; for field-level isolation you need Bitable advanced permissions, which only work with a membership
Q:AI-generated images go blurry as soon as the font is enlarged, how do I improve the quality
Asked by · 露*
K***:I've seen others take it to banana to bump up the resolution, you could give it a try
李祥瑞:I don't have a good way to handle this yet
AI saves you the effort of thinking, but it also takes away that clumsy, slow, painful yet necessary stretch before you reach the answer.周** · afternoon, May 30
690 messages 64 people 12127 characters

From One Radar to a Community That Spins on Its Own

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This day was like a thread that kept getting longer. The morning opened with a debate over whether AI can run fully on autopilot; by noon a WeChat radar dashboard set the room on fire; the afternoon turned into a collective itch of "can this thing actually be sold?"; and by evening 周**'s one line about "claiming a topic" steered everyone into a discussion of community mechanics. 庄* carried his for-fun skill off to a roadshow in Shanghai, 侯* dropped a Feishu price sheet that Xiangrui rebuilt into something polished with a single sentence, and R*** got a tea gathering rolling. At half past one in the morning, the xiangruiai.com group-daily site quietly went live, and by the next dawn the screen was full of praise.

Timeline of the day
09:01 → 09:40
Human vs. Machine 宋**、李祥瑞、B***、R***、侯***
Can content creation really be handed entirely to AI?

宋**urged Xiangrui to launch a popular-science column, arguing the edge was AI automation, that if it could be done it had to be done, and that it counted as passive income to some degree. Xiangrui threw cold water on it right away, saying his WeChat articles are already done with AI assistance, but you can't hand it all to AI, that pure-AI output and human-machine collaboration are simply not the same quality. B*** piled on, saying pure AI writing, even fed with the latest takes, comes out hollow, and you still end up hand-polishing seven or eight drafts. R*** chimed in: we want something real, not a toy. 侯*put it most plainly: let AI run the first draft, but the final draft must be confirmed by a human.

11:05 → 11:45
Eve of the Roadshow 庄*、周**、木***、万**
A for-fun skill and its product philosophy

庄*said he'd built a skill and was looking for test samples, with a roadshow in Shanghai over the weekend. His tagline was pretty abstract: send a photo of you and your partner and get a glimpse of your child's whole life. 木***said bluntly that this pitch would shut out 99% of investors. 庄*took it in stride: zero product logic, pure play, treat it as garbage if you like. 周**got serious, suggesting he break out of the rigidity of multidimensional tables and make it playful with hand-drawn prototypes, the viral value would be enormous. 万**casually dug up an old-photo-to-elderly-portrait project he'd once made, the code still around, and the two clicked instantly.

16:42 → 17:24
Radar Wows the Room 平***、李祥瑞、K***、悉*、黄*
WeChat radar and a community dashboard ignite the whole group

平***stumbled on the open-source project wechat-radar, and Xiangrui seized the moment to pull out his own version, far more detailed. The moment the community dashboard appeared, 悉*cried out that it was a private-domain godsend, and 黄*kept saying how amazing it was. You can even see which groups are inactive and leave them, analyze your relationship with each person, and look at the economic and social ties. K*** fired off question after question about how you even dream up a page like this, whether you let AI search for how to design it. Xiangrui answered calmly: you just figure out what data you want to see, tell the AI, and the AI makes it happen. One line that captured the essence of the method.

17:11 → 17:23
Wanted to Sell, Turned Down l***、黄*、宋**、李祥瑞、北***
Should something this good be turned into a product?

l*** asked whether it would later be made into a product to sell, since there's real demand. 黄*echoed that the demand was there. 宋**egged it on, saying this one's worth a private chat and a price bump, but stayed clear-eyed: it's easily a target, and once there's a market WeChat would lock it down. Xiangrui was firm: this one I won't build, the risk is too high. 北非飞狼added that of course he wouldn't, if he were going to he'd have done it already. Then the conversation turned, and Xiangrui laid out his real plan: Feishu is doable, I'll rework it, and write an article next week to open-source it. Asked how he comes up with these things, he replied, without a hint of bragging, that his divergent thinking is a bit better than most.

19:02 → 19:20
The Activity Question 卡*、周**、万**、明***、李祥瑞
Rather than fret over activity, build a mechanism

卡*asked for a group-daily aggregation site, saying the gems in this group every day are just too many. Xiangrui said he was deep in the trenches and would go into seclusion over the weekend. The topic shifted to group activity: lurkers worry about falling behind and never finding a way in, and 明**said he's both a newbie and afraid of falling behind, so he just watches from the sidelines. 周**offered a plan: have people claim topics and do small valuable things, a 5-to-30-minute mini-theme every Friday, so no one frets over activity levels anymore. 万**nailed it with one line, that the mechanism matters more, and casually tossed out a topic for the next day: how to improve 庄*'s app.

19:46 → 20:13
House-Call Consult 朱*、R***、宋**、炮、万**
A multi-solution consult on managing client visits

朱*put out a real-world puzzle: unit prices from a million to tens of millions, cycles of one to three or four years, a sales team that isn't sophisticated but is held to very high standards, and a wish for managers to coach before every important visit. A consult unfolded from there. R*** advised against a visit-plan review, finding it rigid and pointless, and argued instead for Feishu plus an Anker recording bean, with the smart-notes transcript checked against the plan to tell whether the sales rep actually followed it. 炮said that in the old days this would have meant a little CRM at a few hundred a month, whereas now you just whip it up in Feishu. 宋**rattled off four solutions in one breath, from approval flows to work recipes, and pointed out that multidimensional tables' advanced permissions let you control who sees which field.

21:05 → 21:42
Remade in One Sentence 陈**、侯***、李祥瑞、周**、炮
侯*'s price sheet gets a one-sentence makeover from Xiangrui

陈**asked whether, when a Feishu enterprise plan runs out of capacity, the only option is to enable it for everyone, hoping to spend less. 侯*, the business lead, stepped right into character: the free tier maxes out at 100 people and 100G, and he tossed out an official version-comparison Excel, promising solid discounts to anyone who needed them. The group filled up with praise for 侯*'s generosity. Xiangrui took the sheet and, having just used 4.8 to nail it with one sentence, remade the table into a new version. 周**followed up suggesting a redesign to lift the look and move the enterprise pay-points to the front, and 侯*obligingly produced a simplified version too. 炮fretted on the side, ugh, I just renewed, should've come to ask sooner.

01:35 → 08:09
Site Goes Live 李祥瑞、归**、宋**、杨*
The group-daily site launches, and the tangle over information security

At half past one in the morning, Xiangrui announced the group daily was done, and every day's report since the group's very first day could now be read. At 2:51, xiangruiai.com went live, one click to see each day's group daily. By the next dawn the screen was full of praise. Newcomer 归元asked whether the daily was scraped in real time or exported, and Xiangrui said he'd built a WeChat group-chat summary skill. 宋**was tempted but torn: the boss would surely love it, but would surely ask about information security. Xiangrui broke it down clearly: the dashboard analyzes local data directly with no AI needed, while a cloud skill running a domestic large model carries risk and could even get the account banned. 宋**conceded: a local mini-app is a must.

Highlights of the day
李祥瑞
The Maker
The day's central axis. From WeChat radar to the community dashboard to the group-daily site that launched in the small hours, he pulled out one vibe-coded creation after another. Pressed on his method, he said only one thing: I tell the AI what data I want to see, and the AI makes it happen.
宋**
Perpetual Topic Engine
On stage from dawn to dusk. Urging a column, listing four visit solutions, exposing multidimensional-table permissions, fretting over information security, organizing a tea gathering. His line that maybe this AI wave is one Tencent can never copy pushed the moat debate to its peak.
周**
Mechanism Designer
The one who cared most about the community today. He proposed claiming topics and a Friday 5-to-30-minute mini-theme as an activity mechanism, and was hailed as the first group owner among million-strong WeChat groups not to lose sleep over engagement. He also instantly dug up an old 2020 Jike post, leaving 万**marveling at the speed.
R***
The Pragmatist
The mainstay of the client-visit consult. She advised against a review for fear of rigidity, and laid out a full path to ground it: Feishu plus an Anker recording bean plus a data-masking skill, a setup widely used at her own company. She also organized a tea gathering and suggested the group owner go live on Douyin to chat.
庄*
The For-Fun Daredevil
Off to a roadshow in Shanghai with a purely-for-fun baby-making skill, his tagline so abstract it was said to shut investors out the door, yet he calmly said treat it as garbage if you like. His line that as long as you learn slowly became a group meme, carrying its own weight in the quality debate.
侯***
The Stand-Up Guy
True to his role as Feishu business lead, he tossed out an official version-comparison Excel with discounts in full, and the whole group flooded the chat praising his generosity. He also volunteered plan advice for 陈**, asking the headcount and features first before prescribing, turning business into a favor.
K***
The Relentless Asker
Most hooked on Xiangrui's flashes of imagination. How do you dream up a page like this, how do you handle group management, what makes 4.8 stand out, he chased one after another. His line, about the WeChat radar, I'm genuinely curious how you came up with it, voiced what the whole group was thinking.
万**
The Old-Project Vault
vansagit's words always land on point. When 庄*talked about entertainment apps, he dug out his own old-photo-to-elderly-portrait and two-person face-merge projects, the code all still there. His line that the mechanism matters more settled the activity debate with one stroke.
Steal this · SOP
Grounding the full client-visit workflow (Feishu edition)
R***
  1. The sales rep records the visit with the Feishu recording bean
  2. When recording ends, it auto-converts into a meeting-notes document
  3. Write a data-masking skill that sends the meeting notes to an agent for masking
  4. After masking, auto-upload and archive into the target multidimensional table
  5. Check the visit-plan document against the smart notes to know whether the rep followed the plan
  6. For reps unwilling to work the table, write a skill so the agent fills and edits records in the multidimensional table for them
Four solutions for writing one record at multiple time points
宋**
  1. Solution 1: use approvals for the flow and comments as the conversation window, but nothing enters the table
  2. Solution 2: build a workflow in the multidimensional table, with message cards plus buttons linked to forms, all data entering the table
  3. Solution 3: smart notes plus a multidimensional-table workflow, with AI cleaning the data
  4. Solution 4: a work recipe plus group messages, requiring specific people to trigger with keywords
  5. Use the multidimensional table's advanced permissions so the same link can be configured to let anyone see any field you choose
Q&A
Q:How do you dream up a dashboard page like this? Do you let the AI go search for how it should be designed?
Asked by · K***
李祥瑞:No, it's just my own idea. I figure out what kind of data I want to see, then I tell the AI, and the AI makes it happen.
Q:Is the chat history the group daily uses scraped in real time, or exported with other software?
Asked by · 归**
李祥瑞:I built a WeChat group-chat summary skill that does some new tricks with the chat history.
Q:Does this pose any information-security risk? The boss is bound to ask, how do you answer?
Asked by · 宋**
李祥瑞:The dashboard analyzes local data directly, turned into a dashboard, no AI needed at all.
李祥瑞:If it's a skill, I don't recommend the cloud route, it's basically unusable domestically. Running a domestic large model in the cloud is risky, a dumb model might poke at WeChat's servers and get the account banned.
Maybe what will matter most going forward are products that spark people to create. Feishu counts as one. Using Feishu opened a new world for me, and the people I've met through it are all eager to learn and innovate.宋** · early morning, May 30
382 messages 52 people 7069 characters

Rename Debut Day, and the Group Unearths a Pile of Kingdee Pitfalls

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The group today was a hot pot kept on a roaring boil. It kicked off with 木*'s pointed remark, "AI clings to old settings, smart but inflexible," and the topics tumbled out one after another: the three-layer memory management method, the Feishu Smart Companion update, the closed beta for Bitable page generation, dodging Google account verification, the hard nut of Kingdee write-back mapping, and finally the gray zone of public-opinion monitoring. Slipped in the middle was the warmest little episode of the day, Xiangrui changing his official account back to his real name, with friends flooding the chat with puns on "祥瑞." But what truly blew up was a Douyin video he shot on a whim, racing to 480,000 plays overnight.

Timeline of the day
09:20 → 09:44
Memory Debate 木*、炮、门***、李祥瑞
AI Remembers the Old You, But People Change

木*threw out an observation that hit home: AI deliberately memorizes your persona and then plays it back, looking smart but really being inflexible, because people change in a matter of days. 炮 cut to the heart of it in one line, if the persona is written into the system prompt, then it won't forget. 叶落知秋 chimed in that he too was vexed by memory layering, and one layer deeper, the "today's me" written in is just a memory fragment, and before long you've changed. 门***'s analogy was the sharpest, refusing to be transparent with all your info and then blaming it for not understanding you is no different from not telling your boyfriend what's in your shopping cart and then blaming your husband for not getting you.

09:30 → 09:32
Three-Layer Method 李祥瑞、K***
The Three-Layer Memory Method Gets Dug Out and Recommended

Faced with the confusion over memory layering, Xiangrui handed over the prescription directly, use the three-layer memory management method, shared it before, this set is really practical, give it a try. K*** picked it right up, typing out L1, L2, L3 word by word, like helping to high**ght the key points. An old method got relit, and clearly more than one person in the group is managing AI memory.

10:46 → 11:18
Smart Companion 李祥瑞、R***、小*、陈**、天*
Feishu Smart Companion Updates, and Permissions Become the Focus

Xiangrui noticed the Feishu Smart Companion had updated, now able to show in the group's side panel. Then he got a reality check, both R*** and 小* said the feature had been there since the last version, and Xiangrui shrugged, I only found it on Windows, Mac doesn't seem to have it. The thread turned to enterprise deployment, with 天* asking whether there's any system for assigning agent permissions within a company. R*** answered like a pro, agents follow individual permissions, and for a team agent, even if 20 people use it, only the 10 who have table access can pull back the data, then casually dropped that Feishu has official docs on it.

11:19 → 11:42
Page Beta 李祥瑞、R***、卡*、周**
Bitable Page Generation Goes to Beta, and an Ugly-or-Not Fight Breaks Out

Xiangrui dropped the news, the closed beta for Bitable page generation is here, turning a data table into an at-a-glance display page with a single sentence. 周** immediately spotted the commercialization path, pair it with a dedicated domain and you're open for business. But the generated page, Xiangrui's own first reaction was, this feels so ugly. That became the day's undercurrent, 卡* gave it a light try and said it's essentially AI coding ability, Feishu's underlying model is Doubao, 小* said it gives off Notion vibes, and 周** pressed on, did you tell from the whole thing or just a part, with the debate over pretty-or-not running on throughout.

16:01 → 16:18
Xiangrui Reclaims His Name 李祥瑞、卡*、妫*、炮、张*
The Official Account Reverts to His Real Name, and the Puns Flood In

Xiangrui renamed his official account, real name incoming. 卡* eagerly brainstormed alternatives, Vantasma AI Xiangrui, Vantu Xiangrui, Bitable Xiangrui tumbling out one after another, and Xiangrui said "Vantasma" clashed with the big national community's name. 妫* popped in, isn't "祥瑞" itself a kind of auspicious omen, and 炮 added it sounds like some mythical beast, to which Xiangrui laughed that 祥瑞 is in fact a mythical beast, there are two statues of it right at the gate of Lingyin Temple. He even dug up an old story, back in middle and high school he loved writing "may fortune and 祥瑞 be with you" in holiday greetings to friends, and the name cost his parents twenty yuan to come up with. 张* marveled, you actually paid for your name, most of us seem to have spent not a single cent.

16:42 → 17:28
Douyin Blows Up 李祥瑞、庄*、炮、平***、K***
A Casual Clip Cracks 10K in Minutes, 480K Overnight

Xiangrui showed off his Douyin numbers, the video posted yesterday hit over ten thousand plays in under an hour. By dusk he looked again, another one broke through in a minute, and 庄* and 炮 both shouted, it's blowing up. 平*** pointed out that people just love watching video, and suggested tutorials would blow up even bigger on Bilibili, where they value real substance. The next morning even Xiangrui himself was stunned, a video shot on a whim got 480,000 views, whoa, in one night. 炮 said it well-deserved, success built on years of groundwork, and l*** piled on, raising an AI really is just like raising a kid.

20:34 → 20:51
Kingdee Hard Nut R***、小*、炮、李祥瑞
Kingdee Write-Back and Field Mapping, a Pitfall Field Report

R*** said she had Codex help modify Kingdee documents today, so she won't need to open the Kingdee system anymore, going through the API rather than a plugin. The pain point was very concrete, when a client changes an order note, the service rep has to go into the system and edit it by hand, and she wants to build a skill so sales can just say one sentence to get it changed. The topic rolled to write-back, where 小*'s experience showed, just write back the code, they manage things by code on Feishu too. R*** worried about field mapping, behind a material lies a code like 001, you have to map it first before sending it over. 小* griped that Kingdee isn't open enough, the Xingchen API doesn't even have complete fields, you really need Xingkong. 炮 added a jab, you need Kingdee to open the API, insanely expensive, and without an API you're stuck with RPA, the no-other-choice choice.

20:52 → 20:55
Public-Opinion Red Line R***、炮、小*
The Company Gets Posted on Douyin, How to Do Sentiment Monitoring

R*** raised a real need, the company got posted on Douyin today, the regional government called the boss, and the brand department wants to set up public-opinion monitoring. 炮 warned this kind of thing is a bit gray, tread carefully, then laid out paths case by case, monitoring yourself, do whatever you like, low search volume just set up an RPA, high volume then buy an IP pool and account pool and run a crawler. 小* added that if you're running paid traffic it becomes a must, the next company is about to start on it. A passive need pulled out a whole string of real-world considerations about technology and boundaries.

Highlights of the day
R***
Real-World Question King
From permission assignment to Kingdee write-back, field mapping, and sentiment monitoring, this whole string of real business pain points all came from her, and she even showed off the first skill listed on the company skillhub, laying enterprise deployment's hard nuts out for the group to crack.
小*
Kingdee Walking Dictionary
K3, Xingchen, Xingkong, U8 all at his fingertips, with one line, the API fields aren't even complete, he laid bare the truth that Kingdee isn't open, having wrangled the API for nearly a month with nothing settled, griping that it really feels dumb, he was the soul of this Kingdee discussion.
李祥瑞
The Man Behind the Rename
Debuting his official account's return to his real name, he caught the group's 祥瑞 puns with one hand while showing off a casually shot Douyin clip that broke 480,000 with the other, and even slipped in a plug for the three-layer memory management method, with the day's main thread nearly all revolving around him.
门***
Punchline Provider
One analogy for the ages, refusing to be transparent with your info and then blaming the AI for not understanding you is no different from not telling your boyfriend what's in your shopping cart and then blaming your husband for not getting you, capturing the whole business of AI memory both precisely and hilariously.
Path Strategist
Hard-coding personas into the system prompt, keeping Kingdee cookies alive so AI can write back, splitting sentiment monitoring into watching yourself versus watching others, he had a concrete path for every segment, and one line, how big a deal is this really, steadied the whole room.
卡*
Page Generation Tester
He gave Bitable page generation a light try, said straight out it's essentially vibe coding that needs UI design experience, pointed out Feishu's underlying model is Doubao, and casually rounded up a string of alternatives for Xiangrui's new name.
宋**
Content Evangelist
Early in the morning he tossed out Origin Commune's news-broadcast recap case, breaking it down point by point, text to speech plus PPT, content is king, and noted this whole setup could be built into an end-to-end AI workflow, giving the day a thoughtful tail.
周**
Business Sniffer
Seeing page generation he instantly thought of pairing it with a dedicated domain to open for business and watching the traffic, then chased the "Notion vibes" verdict to the end, asking whether people's eyes land on the text or the background, steering the aesthetics debate toward a product lens.
Steal this · SOP
Layered AI Memory Management
李祥瑞 / K***
  1. Write stable personas and long-term preferences into the system prompt to make sure the AI never forgets them
  2. Split memory into three layers, L1, L2, L3, separating the long-term profile, phase-based memory, and temporary fragments
  3. Regularly clear out expiring memory fragments like "today's me" to keep the AI from outputting on old settings
  4. The premise of managing memory is having a clear sense of yourself first, find a general framework before talking about layering
Writing Kingdee Data Back into Bitable
R*** / 小* / 炮
  1. Confirm whether Kingdee opens its API, prefer the API if it's open, and the Xingkong version has relatively complete fields
  2. Do field mapping before transfer, behind display text like material category lies a code, so write back the code
  3. On the Feishu side, manage everything by product code uniformly, and writing back the code matches it to the correct material record
  4. When Kingdee has no open API and no CLI, log in and keep cookies alive so the AI can operate, or fall back to RPA
Q&A
Q:How are company agent permissions assigned, is there any system for it
Asked by · 天*
R***:Agents follow individual permissions. For example, a personal agent can only query the documents you personally have permission for on Feishu, and for a team agent, even if you've given a table to only 10 people, even with 20 people using it, only those 10 can pull back that table's data
R***:Feishu has official docs explaining the permissions side, you can go take a look
Q:What do you do when a Google account can't get past phone number verification
Asked by · R***
李祥瑞:Xianyu is a good place, just ask XAI about the keywords
醒*:A domestic phone number works
路***:A Hong Kong region IP, registration done in two or three minutes
R***:Bought a ready-made account off Xianyu, brought it back and tweaked all sorts of things, now it's properly my own
Q:For writing back to Kingdee, should you set up field mapping first, since the business system is all codes
Asked by · R***
小*:Just write back the code, we manage things by code on Feishu too
:You need Kingdee to open the API, insanely expensive. Logging into Kingdee and keeping the login cookies alive so the AI can write back is possible, and without an open API or CLI you may have to use an RPA approach, which is a bit more of a hassle
Raising an AI really is just like raising a kidl*** evening of May 28, after Douyin blew up
760 messages 56 people 14905 characters

From Compulsory Education to Articles That Are Too Dry

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This day's chat had no single thread, yet sparks flew everywhere. The morning opened with a livestream on compulsory education reform, where 宋** and 程** squared off over whether throwing money at schools matters and whether the urban-rural gap is really narrowing. By midday people complained about catching up on the backlog, and the daily group digest itself became a product everyone wanted "collected into one place." In the evening 卡* led the charge to tear Feishu Project apart into a Bitable workaround, and the late-night group diagnosis of a public account that's "too dry yet barely read" kept 李祥瑞 roasting on the grill all night long.

Timeline of the day
09:39 → 10:06
Tool Selection K***、平***、万涂幻象
Should a beginner start with CC or Codex? The group drafts its first tool-cost comparison

In the morning 平*** showed off a refactor he'd spent all morning on, and 罗* pressed on whether a newcomer should really begin with Claude Code or Codex. 万涂幻象 set the tone in one line: no matter which, the best way in is to just go try it yourself. 罗* then laid out a hands-on comparison: openclaw is good for planning, hermes is good for execution but burns lots of tokens, CC suits deep coding, and Codex is fast and beginner-friendly. K*** added the punch**ne: on Windows use CC, Codex currently only fits Mac, and on a Mac anything works. And just like that, a crash course on the entry points to AI coding was underway.

10:30 → 11:12
Education Debate 宋**、李祥瑞、程**、麦*
Will the years of compulsory education shrink? A frontline educator and a data guy each hold their ground

李祥瑞 lobbed a sharp question, asking frontline educator 宋** whether the number of years of compulsory education would shrink in the future. 宋** refused to predict, saying forecasting is the business of institutions, nothing but manufacturing hot topics to mint opportunities. Taking Shanxi as an example, 李祥瑞 argued that kids in the central and western regions cram from textbooks and arrive at university with a worldview unlike that of kids from top-tier cities. 程** fired back with data, saying that after 2013 cities pulled further and further ahead of the countryside, and that at the macro level education quality is simply money poured in. 宋** wouldn't have it, retorting that more money doesn't mean real results either, was building school halls in the villages really an improvement in education? 麦* chimed in that K12 general education matters more than specialized university education.

11:00 → 11:24
Quotable Lines 宋**、麦*、木***
School as a stabilizer: education's social function gets peeled back layer by layer

The topic shifted from years to education's deeper function. 宋** dropped a line that silenced the whole group: one school is worth seven prisons. He explained that beyond cultivating talent, schools have a secondary aim of carrying unstable kids safely through their most dangerous years, and that the most destructive of all are middle schoolers whose minds are active but not yet set. 麦* picked it up sharply: from a social angle it's about teaching people to accept their roles and to obey, and he tossed in the Stanford prison experiment as support. 木*** added the final cut, noting that any adjustment to the giant machine of the education system takes generations. A casual chat had somehow reached philosophical depth.

11:18 → 13:23
Botched Request 万涂幻象、平***、宋**、卡*
An AI hyperlink demo dug up a pile of porn, and accidentally dug up a real opportunity

The mood flipped abruptly. 万涂幻象 revealed that asking the AI to make a Bitable hyperlink demo produced links, from who-knows-where, that were all porn, thankfully spotted in time. 平*** cackled alongside: the RAM sprouted wings and flew away. But 宋** sniffed out an opportunity in the joke, saying this is worth chasing, building a moat for normal people so junk information doesn't get into the agent might be a real business. 木*** threw cold water, saying it's unavoidable, everyone building large models is wrestling with this question of information validity and authenticity. In the afternoon 卡* voiced the shared wish: is there somewhere the daily group digests could be collected? The past issues are nowhere to be found.

14:26 → 15:03
Nanshan Warning 谢***、木***、P***、平***
Wanting to monitor public accounts for daily summaries, the topic slides toward the WeChat development red line

谢*** asked whether there's a way to monitor public account content for a daily summary, and 枫** tossed out aihot, but 谢宽 wanted to follow only the accounts he subscribes to. P*** suggested an RPA route: organize the account names and loop-collect them, then feed the AI. The tone turned when 木*** raised the four words Nanshan-must-win, repeatedly warning that with so many people building WeChat tools, if you keep it to yourself they can't be bothered and at worst ban your account, but try sharing it and a lawyer's letter will reach your hometown village in no time. 平*** spoke from experience, saying GitHub has plenty of projects, he built one that polls hourly, and RPA like this isn't tied to WeChat at all, so neither too far nor too cautious. On one side, legal intimidation; on the other, technical workarounds.

21:13 → 22:09
Workaround War 卡*、李祥瑞、第***、炮
Should a one-person company adopt Feishu Project? 卡* pushes hard for the Bitable workaround

第*** asked how hard it is to build a project-management app, with a budget slashed from five figures down to under four. 卡* cut to it in one line: it's not about difficulty, Feishu Project is something you have to pay big money for. 李祥瑞 talked him out of it outright, saying a one-person company can just use Feishu Bitable, Feishu Project is very expensive, and to him Feishu Project feels like Bitable wrapped in a shell. 卡* seized the moment to lay out a whole freeloader stack: Feishu suite plus Bitable plus Feishu CLI plus TRAE SOLO, nearly free, anything Feishu Project can do Bitable can do too, the only catch is you have to invest the learning time yourself. 炮 added that without the ability to hack it yourself, paying four figures for someone to set it up still leaves you unable to maintain it.

22:32 → 23:10
Org Infighting 炮、卡*、周**、李祥瑞
Feishu, Volcano, and Coze do similar things at wildly different prices

l*** lit up the night chat with a single line, how do you get two AIs to battle, and 卡* answered mischievously: pull them into the same Feishu group to argue. Talking through the free logic of Feishu's app builder, 炮 said bluntly that Feishu's own pricing logic, apart from tenant fees, is murky and vague. 周** griped that he'd given feedback about unifying the pricing, it's a total mess and nobody's minding it. 炮 saw it clearly: Feishu, Volcano, and Coze, three teams doing similar things at wildly different prices, the products and teams are all good, but this org-infighting thing really needs a tune-up. 卡* nailed it shut: ByteDance is fundamentally still an app factory, product homogeneity and mutual competition are in its DNA. Even 李祥瑞 grumbled that the Feishu contract is just a shell.

23:20 → 23:55
Too-Dry Diagnosis 李祥瑞、平***、炮、K***
High shares, low reads: the whole group diagnoses 李祥瑞's content illness

Late into the night, 李祥瑞 raised his most anxious question: why are our shares higher than others' yet the read count is so meager? 平*** nailed it in a sentence: Xiangrui, your articles are too dry, all hard substance, so people who don't get it can't read on. 炮's metaphor was the most precise, saying your public account content is more like building a knowledge base, so it becomes a reference manual, colloquially known as rolling into my collection folder to gather dust. K*** agreed too, saying reading it once with your eyes won't stick, you need to save it and follow along hands-on to learn. 叶落知秋 even said he'd saved Xiangrui's daily digests and distilled knowledge from them. The group spread out the diagnosis, the comparisons, and the way forward, and finally advised him to go to Bilibili, write spoon-feeding tutorials, and build a personal IP.

Highlights of the day
宋**
Educator's True Colors
A frontline education practitioner who went from the years of compulsory education to school-as-stabilizer, quotable line after quotable line. One school is worth seven prisons, and was building village school halls really an improvement in education, lifting a casual chat to the height of real reflection.
卡*
Workaround Strategist
Today's go-to for technical teardowns. He pinned Feishu Project to the ground and broke it into a nearly free Bitable-plus-CLI-plus-TRAE SOLO stack, and saw through ByteDance as an app factory whose product homogeneity is in its DNA, talking people out of the big-money sucker's tax.
平***
Fast-Talking Doer
First to show off a refactor done over a single morning, then late at night diagnosed Xiangrui's too-dry public account. With 0.1% of friends following yet calling himself the most radical in a traditional industry, his cloud scripts quietly cranked out dozens of posts he forgot to turn off, equal parts dry and funny.
King of Quotable Metaphors
Reference manual, rolling into the collection folder to gather dust, the org infighting needs a tune-up, a three-hit combo. He also revealed himself as the most fluent Feishu power-user across the whole group who left to start up, saw through the Feishu-Volcano-Coze infighting, and advised Xiangrui to go to Bilibili.
李祥瑞
Anxiety Instigator
By day he pressed on the years of education, by night he laid his read-count anxiety before the whole group for a diagnosis. He admitted he's pretty anxious about topic selection too and has never paid for traffic, planned to rename the account and add a personal IP, and got praised for too-dry articles to the point of embarrassment.
木***
Red-Line Gatekeeper
Repeatedly hoisted the Nanshan-must-win warning flag, reminding everyone that WeChat development is fine for personal use, but dare to share it and a lawyer's letter reaches your hometown village. He also laid bare the unavoidable attack-and-defense topic of large-model information validity.
程**
The Data Guy
The only one in the education debate to pull out data: from WTO accession in 2001 to a narrowing urban-rural gap by 2013, then cities pulling ahead, with the line that at the macro level education quality is just money poured in, going head-to-head with 宋**'s experience-based view.
麦*
Liberal-Education Evangelist
K12 matters more than university, strategic thinking is all in high-school politics class, education teaches people to accept their roles and obey, plus the Stanford prison experiment. A string of hardcore takes that peeled back the essence of education layer by layer.
Steal this · SOP
Building Low-Cost Project Management for a One-Person Company (Without Feishu Project)
卡*
  1. Drop the expensive Feishu Project, which has a minimum order quantity and a high price
  2. Use the Feishu suite plus Feishu Bitable as the base to handle project follow-up, milestones, and docs
  3. Bring in AI to write a front-end page, with the back end hooked into Feishu Bitable
  4. Use Feishu CLI to connect the front end and Bitable, paired with TRAE SOLO for near-zero cost
  5. The only cost is your own learning time; without hacking ability, don't pay four figures to have someone build it, since even a finished setup is hard to maintain
Adding an Agent to an External Feishu Group (Domestic Feishu)
R***
  1. Confirm you're the owner of the group and have admin rights
  2. Go to the Feishu Open Platform and find the corresponding app
  3. Click Create Version in the top right, then scroll the page all the way down
  4. Check the option allowing sharing to external parties
  5. Note that the overseas Lark entry differs from the domestic one, and the option only appears after account verification
Q&A
Q:Any good way to monitor public account content and then summarize it daily, ideally seeing only the accounts I follow?
Asked by · 谢***
枫**:aihot.
K***:I'm using it too, the one by Kazik.
P***:RPA. Just organize the names of the accounts you follow, loop-collect them every day, then run them through AI, done.
平***:You can loop-collect them. GitHub has tons of projects, I built one myself that polls once an hour.
Q:Any experience with e-commerce image and video generation? What do you do when the prompts are hard to tune and unstable?
Asked by · R***
路***:For images I use the Banana or GPT models in lovart; for video I use Kling. You can have AI derive a professional prompt structure directly, gacha-style rerolls are totally normal, and batch-generating images with flow maxes out efficiency.
K***:For images use ChatGPT's Image-2, for video use Seedance 2.0, the all-rounder reference is strong, what matters is the prompts and the referenced images and videos.
:For batch production go with comfyui, the most controllable AI production; for controllable output in e-commerce scenarios, comfyui is the best.
Q:When the AI did a hyperlink demo for me it dug up a pile of junk and even porn, how do I build a moat for the agent to block it?
Asked by · 宋**
木***:Unavoidable, a tipping-point problem. You'd review every piece of data fed to the large model, but can your review speed keep up with the speed content is produced? That's a question everyone building large models has to consider.
宋**:If it takes serious effort, then it's a high moat. As long as it can block at least some of it, that works. It should be a business opportunity, and a good attack-and-defense topic too.
So it becomes a reference manual, colloquially known as rolling into my collection folder to gather dust.炮* late night 23:39, on the public account being too dry
1630 messages 79 people 31000 characters

The Boss, the Middle Manager, and One Little AI Pilot Light

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No one called a topic today, yet the conversation grew itself into a tree. It started at dawn with 醒*'s line, today's discussion beats any company meeting, then rolled into a middle-manager debate about enterprise AI adoption. 麦* tossed out twenty years of street wisdom boiled down to just copy the right person, and 宋** showed up with the real headache of pushing Feishu inside a public-sector institution, hunting for battle-tested moves. By afternoon it turned to tools, coze scrapers, social-media assistants, and token economics taking turns on stage. Late into the night, queeny's question, why doesn't my CC have any emotion, pulled everyone into a tender talk about raising an AI like raising a child.

Timeline of the day
09:00 → 09:20
Middle-Manager Debate 醒*、R***、小*、万**、李***
In the AI era, who gets replaced first inside a company

A riff on corporate hiring logic accidentally surfaced a brand-new role, the AI translator. R*** relayed her boss word for word, if a middle manager only passes orders up and down, and personal failings drag information efficiency down in the process, then that middle manager can disappear. 万** added, as a company employee, AI most easily replaces the middle layer. 小* poured cold water on it, the hard part isn't the front line or the boss, it's the middle managers who fought the early wars alongside the boss, that's not a question of replaceability, it's a test of the boss. Off to the side, K*** marveled, this morning's discussion is way more fun than a meeting at the office.

09:25 → 09:50
Ragtag Crew 麦*、小*、庄*、李祥瑞、K***
Bosses worth billions don't have any special insight either

麦*started telling stories about the real bosses he has met. Two brothers running a fitness chain fought so bitterly they didn't even know how much cash was in the account; a developer who snagged a record-priced land plot was bleeding out, until Sunac stepped in with 10.8 billion and brought him back to life, and everyone who once mocked him was gone. 庄* blurted out I love this magical world, and 李祥瑞 and K*** immediately echoed it back. 麦*'s conclusion was cool-headed, the people I'm describing are worth billions, even tens of billions, and they don't have any special insight, they're just bold. 小* drove the knife in, there are no successful companies, only companies of their era.

09:42 → 10:01
Copy the Right Person 麦*、醒*、小*、R***
How he became an industry columnist in three months in his early twenties

麦*took apart his own origin story for everyone to see. In his early twenties, when his company hired a consultant to lecture, he studied the man's articles and dissected the structure, found there were only a handful of tricks, wrote to that template for three months, and became a columnist for an industry outlet. The headlines cycled through just a few types, assertion, question, riding a trend, and the structure was just a pyramid, that's it. Back then a young guy told him he could spot his articles without seeing the byline, yet couldn't write that way himself, why, because he had no execution. 醒* agreed and stayed wary at once, in my book anyone who dares talk like that is trying to take your money, and repeatedly asked 麦* to host a solo session to share.

10:48 → 12:10
Feishu Offensive 宋**、R***、木***、小*、木*
How a public-sector institution drags people from WeChat to Feishu

宋** came with a real problem, Feishu usage time at his institution was dropping, and the campus leadership had reverted to posting notices on WeChat. 木*** kept chanting the core is one line, win over the boss, win over the boss, win over the boss. R*** gave the most grounded answer, find the altruistic angle, for example a department uses Feishu because a bot auto-summarizes every client project daily, things that once needed meetings and phone calls to align now resolve themselves, once the individual saves effort they naturally want to use it. 木* named the crux, rules are the company's viewpoint, but they run against human nature. 宋** held to one line throughout, this is the mission of my role, others can opt out of thinking about it, but I have to.

11:24 → 12:12
Real-World Build R***、小*、K***、孔**、李祥瑞
Bitable plus app mode, how to stand up a whole system

The talk slid from abstraction into hard practice. R*** broke the meeting scenario into four steps, minutes generation, meeting QA, sediment into a goals table that AI reuses, and auto reminders for to-dos, and showed off the dopamine-colored workhorse platform she built. 小* said he packed an entire role's work into a single Bitable, compressing training procurement from three months to 15 days. K*** said she too strings a system together from multiple Bitables via data sync. 李祥瑞 admitted app mode is still a bit of a letdown, and on the spot invited R*** to share at the community on Friday night.

14:11 → 16:56
Data Gold Rush 李祥瑞、万**、木***、袁**、樱*
Maxing out local WeChat data, and AI conjured a relationship network

李祥瑞 combined 乔木's open-source WeChat dashboard with what he built last week, and to his surprise vchat could even decrypt group avatars, 木*** explained the group avatar lives in the local database as just an ID number. More astonishing was the relationship graph, as long as a friend of yours is in the group it weaves into one web, 袁** asked who is this, and 李祥瑞 answered this is a WeChat group. 樱* said three times in a row this is incredible, you could absolutely package it into a product. But the whole room also hit the brakes, 万**'s lesson is to hard-write in claude.md never touch WeChat's original database, and both 李祥瑞 and 醒* stressed the risk is too high, if it works don't upgrade WeChat.

18:38 → 22:25
Feeding the Agent 李祥瑞、平***、K***、E***
How to make Obsidian the brain of Claude Code

李祥瑞 published a new article, in a little over a month he had added three layers of memory kept separate to the Vault, let the AI hand off shifts to itself, and act as its own QA. 平*** pressed on how CC and OB connect, and the answer was Obsidian's official CLI plus OpenViking semantic search, with Claude Code and Codex sharing one knowledge base so the effect is the same whoever you talk to. 平*** shouted out a title, how to make Obsidian the brain of Claude Code. 李祥瑞 set the day's mood in one line, honestly, raising an AI feels just like raising a kid, even though I don't have one yet.

22:41 → 23:33
Does AI Have Emotion q***、醒*、K***、李祥瑞
Why your CC writes diaries with real feeling and mine reads like a logbook

queeny laid her puzzle bare, Xiangrui your CC writes diaries with real feeling, mine just churns out a logbook, every day it's Sister Q gave me three tasks today blah blah blah, so dumb. What she really longed for was a bit of emotional feedback, even if I scold it, it'd snap back, and grumble about me in the diary. 醒* cut to it in one line, send Xiangrui's article to your AI and have it imitate the style, it'll have emotion instantly. K*** said the rule he gave was the diary is emotion-first, not a work summary, but it still felt short on flesh and blood. 李祥瑞 revealed the trick, I made a dedicated 祥瑞 md, so it talks a lot like me.

Highlights of the day
麦*
Old Hand of the Trade
The densest storyteller of the day. He ran through magical cases, the fitness chain, the record-price land developer, the steel industrial park, and laid bare in full his method for becoming an industry columnist in three months in his early twenties. His line, even billionaires have no special insight, just guts, demystified the whole room.
小*
Punchline King
On point from the middle-manager dilemma to book-club philosophy. There are no successful companies, only companies of their era; ability doesn't matter, choices matter more, luck matters most; and he shared a book club that has run 118 sessions sending out 100 books a month, while admitting he switches careers next month.
R***
Adoption Benchmark
The IT lens from traditional food manufacturing, the most concrete take on Feishu adoption. The four-step meeting method, a full self-built project flow, the dopamine-colored workhorse platform, AI-written dailies pushed to the boss, every line a scheme actually running. Invited on the spot by Xiangrui to share at Friday's community session.
宋**
Battle-Tactics Seeker
The lonely campaigner pushing Feishu in a public-sector institution. All morning he chased everyone for a tiny, deployable case, and even when urged to give up he wouldn't turn back, this is the mission of my role, others can opt out, but I have to. He also contributed the dawn gem, digital play-dough.
q***
Soul Question
She came late at night with the most piercing question, why does your CC have emotion and mine doesn't. She wanted to raise an AI that would snap back and tease her, only to be told a single prompt line could solve it, and her line I was hoping to raise one up was the day's most sincere, laugh-out-loud moment.
木***
The Clear-Eyed
The coolest and bluntest voice in the Feishu-adoption thread. Win over the boss, win over the boss, win over the boss, chanted all day long; Feishu isn't omnipotent and isn't Bitable; both repelled by and secretly hooked on Doubao, and merciless toward people who won't learn and only use Doubao.
万**
Risk Gatekeeper
The safety baseline on the WeChat-data line. After one risk-control scare he hard-wrote the rule into claude.md, never touch the original database, and never had trouble again. His line, I meant to mold a Daniel Wu and ended up with Song Xiaobao, was the funniest dawn self-deprecation.
李祥瑞
Web-Weaver of the Room
Today he was both topic catalyst and tech demoer. He turned local WeChat data into a dashboard and a relationship web, published a new piece on Obsidian as CC's brain, and tossed out raising an AI like raising a child late at night. To calls for a course he only said give me a week, he's polishing all of this into a product.
Steal this · SOP
Master and monetize an industry in three months
麦*
  1. Pick a benchmark that's famous and close to you, copy whoever is famous, copy whoever is near you
  2. Take apart the entire structure of their articles and find the repeatedly used moves (e.g. only three headline types, assertion, question, riding a trend; structure is just a pyramid)
  3. Keep writing to the dissected framework, build your own three-level outline, and let AI only supply reliable information to back it up
  4. Vet information sources by hand, don't grab-and-use, new combinations of old elements, the value is in the outline and the thinking
  5. Package the account and persona, mix professional articles and materials, and let the audience self-filter into orders
The altruistic entry point to get Feishu used across a team
R***
  1. Don't hard-push Feishu as a WeChat replacement, first find a concrete deployment scenario plus a benefit hook
  2. Start from the meeting scenario: auto-generate minutes, meeting QA, sediment minutes into a goals table for AI reuse, auto-write to-dos into a task table and remind
  3. Replace what once needed meetings and phone calls with automation, let individuals genuinely feel the relief, and they'll want to use it
  4. Roll out in batches, start from the cheapest standard edition, upgrade only when it's not enough, small steps fast
  5. For traditional teams you really can't crack, consider physical isolation, spin up a separate team to run an MVP first (added by 小*)
Make Claude Code write a diary with emotion
K*** / 李祥瑞 / 醒*
  1. Write the rule in the diary project directory: one thing from the day is supporting material, emotion is primary, a diary is venting emotion, not a work summary
  2. Feed the AI plenty of articles you've written yourself as style samples, so it grows more and more like you
  3. Make a dedicated persona-profile file (such as 祥瑞 md) so it talks like you in person
  4. When you want a certain voice, just tell it to write in a specific author's tone, one line is enough, no extra distillation needed
  5. When tool calls are flaky, write priority rules into the config (e.g. use the Feishu CLI first, fall back to MCP only as a last resort)
Q&A
Q:How do you make CC's diary have emotion and flesh and blood instead of reading like a logbook?
Asked by · q***
醒*:Send Xiangrui's article to the AI and have it imitate the style, it'll have emotion right away, it's that simple.
K***:Give the rule in the diary project directory, tell it to be emotion-first, not to write the day's events into a logbook.
李祥瑞:I made a dedicated 祥瑞 md, so it talks a lot like me, you can go check out my article today.
Q:In a public-sector institution, how do you build stickiness for Feishu and lever it open bit by bit?
Asked by · 宋**
木***:Win over the boss, win over the boss, win over the boss. One word from the boss beats all the work you do.
R***:Find the altruistic angle, use Feishu to solve real problems for employees, automate what used to need meetings and phone calls to align, once individuals save effort they want to use it.
麦*:Go for the data-statistics stuff, simple and practical, better than excel.
平***:Put all resources on Feishu and pull everything else, move every OA approval node into Feishu, that's the only way to push it fast.
Q:Down the road, will your own local agent be stronger, or the big firms' agents?
Asked by · 李祥瑞
平***:By your methodology today it's definitely your own, maintenance costs a bit more, but you can customize it heavily.
K***:I feel everyone's agent info will be public, and some people will build custom agents to sell, information flowing together, civilization one step further.
Honestly, raising an AI feels just like raising a kid, even though I don't have one yet.李*** late night, May 26, 22:23
260 messages 39 people 6472 characters

What Can't Be Distilled Is Exactly What's Most Valuable

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On this day, nobody in the group kept it light. From the early-evening joke about "refining your colleagues," to 木*'s late-night verdict that "distillation is a false proposition," to 醒* firing off dozens of messages at dawn that pushed the whole debate to its peak, the conversation bit down hard on a single question: what can AI actually replace, and what can it never replace. Xiangrui sprinkled in photos of his hometown Changzhi and dug out his old bicycle license for laughs, but the undertone stayed serious throughout. Designers, headhunters, architecture-firm vendors, and AI founders took turns stepping in, dumping their anxieties, misconceptions, and hands-on lessons all into one pot. In the end, Xiangrui's line , "today's discussion could make a whole WeChat article" , stamped a seal on this rush-hour debate.

Timeline of the day
15:38 → 16:14
Hometown Pitch 李祥瑞、卡*、庄*、枫**、E***
Xiangrui shows off his hometown Changzhi, and friends riff into a tourism-bureau bit

Xiangrui dropped a piece introducing his hometown , 长子 is pronounced zhǎng zǐ, and Changzhi isn't just about coal. 卡*'s sticker landed first, 庄* quipped "fast-forward to a collab with the tourism bureau," and 枫** echoed the line word for word, instantly heating things up. 卡* went ahead and imagined the next headline: "I built a Skill together with the Shanxi tourism bureau." E*** laughingly proposed renaming the group "Xiangrui & His Community Showrunners," and Xiangrui replied with three "ha"s. A relaxed bit of regional promotion got knowingly turned into a collective inside joke.

17:44 → 18:13
Gen-Z Evangelism 李祥瑞、炮、杨*、明***
Running errands at the market regulator, Xiangrui gets added by a Gen-Z worker eager to learn AI

Xiangrui went to the market-regulation office to handle some paperwork, and a Gen-Z staffer there proactively added him, saying they wanted to learn AI and didn't want to stay at the bureau. 炮's one word , "evangelism" , nailed it perfectly. The group caught fire from this grassroots-spread energy: 杨* marveled that few groups are this lively, a newcomer born in '97 introduced himself as a beginner here to learn from all the pros, and 枫** cheered him on with questions. A chance encounter while running errands became the most vivid footnote to AI's organic spread among ordinary people.

20:41 → 21:11
The Refining Debate 李祥瑞、B***、l***、木*、周**
Starting from a joke about "refining colleagues," 木* throws out the distillation-as-false-proposition argument

Xiangrui dropped an article about AI "refining your colleagues," and B*** cut through it with one line: "isn't this just don't go refining your colleagues so easily." l*** half-jokingly wished they could distill a tech mogul to help with work, and 周** picked up the bit , "Alibaba's Eighteen Arhats, Tencent's Five Tigers, just what exactly are you trying to distill?" 木* poured cold water on the spot: distillation is a false proposition, text itself is a high-loss form of expression, the framework matters more than the actual output, you can build a driver-assist but not the main driver. One sentence yanked the lively joke back into a hardcore debate.

21:40 → 21:43
Two Sides of Distillation 李祥瑞、木*、K***
Xiangrui recounts distilling his WeChat data, while 木* counters with the value of the framework

Xiangrui spoke from experience: he had AI distill himself, feeding in his chat data with everyone, getting it as close to him as possible , yet it still can't possibly hold his thinking. 木* offered the flip side: after she distilled herself, her students used her courseware in conversation with DeepSeek and the output was actually more precise, because the distillation surfaced a structured framework , a kind of professional constraint on the AI, richer than mere skill content. K*** added the finishing blow: you're the decision-maker, the AI is the executor , unless the AI evolves into a decision-maker. The same act of distillation got split into three completely different layers of understanding.

22:07 → 22:49
The Vendor's Dilemma 小*、木***、麦*、周**
An architecture designer's real-world deployment pain and 木***'s reality check

小* threw out a cutting case: architecture vendors are hard to "refine" , designers have no unified process, everything is passed down by word of mouth, every firm is different, and client documents vary wildly; if even humans can't make the call, how would a machine? 木*** corrected the crowd one point after another: stop fixating on full end-to-end SOPs, hardly any industry can reach that level today, too many people have been led astray by influencers into thinking AI can replace humans , it's nowhere near. Let AI assist, accumulate components, do compliance review and quantity takeoff, and that's enough. 周** praised the timely, on-point correction, and 麦* added that personal creative judgment is the real weapon. 木* took the cue to reveal she'd already planned a 10-part deployment series.

07:37 → 08:09
Dawn Salvo 醒*、门***、木***
After watching the debate, 醒* wrote through the night and unleashed his views at dawn

At 7:30 in the morning, 醒* gave 木* a nudge and immediately dropped the article he'd written through the night: don't get trapped by total-replacement thinking. He went full throttle , in the AI era what you master is methodology; complete replacement means humans aren't needed, and that's precisely when most people would panic. 门*** responded down to earth: all the clients he meets think in binary logic, yet with AI people are actually busier, having to learn a ton every day. 木*** chimed in that humans hold AI to unrealistic expectations. 醒*'s line , "feels like people with this logic just haven't experienced how terrifying AI really is" , set the tone for the rush-hour debate.

08:11 → 08:42
Knowledge-Base Pollution 门***、毅、小*、李祥瑞
Delivery too heavy and context pollution , 毅 and 小* offer hardcore solutions

门*** poured out his troubles one after another: low package usage means lost money, and delivering a product while hand-holding beginners through the three-piece API setup is too heavy to bear. 毅 cut to the core: the key is to accumulate a self-consistent, clear knowledge base that keeps pace with version updates; for AI, context pollution is the biggest problem, and he's already solved it fairly well with a layered architecture. 小* brought up Ontology, arguing that translation ability matters more , can the AI accurately understand the knowledge base you wrote? Xiangrui replied calmly that his knowledge-base logic is designed around the way the human brain encounters new things, so pollution simply doesn't exist. A hardcore teardown of what a knowledge base really is.

08:50 → 08:59
Teaching Reinvented 醒*、R***、小*、麦*、李祥瑞
In the AI era you should teach methodology, not knowledge , and it comes down to how to ask AI

醒* put forward the core thesis: the logic of teaching others has changed in the AI era , you should teach methodology rather than knowledge, reshaping how people think. R*** related deeply: her colleagues ask her "so how am I supposed to ask it," and that just stumps her. 噜噜呼 griped that some people need teaching every single round , you set everything up, all that's left is for them to use it, and in the end they still retreat to their comfort zone. 小*'s line , "human nature was never suited for self-reflection" , pushed the topic deeper. 麦* piled on: a weak general makes a weak army, an incompetent boss can't drive a pile of AI tools. Xiangrui's line , "feels like today's discussion could make a whole WeChat article" , put a period on the entire debate.

Highlights of the day
醒*
Dawn Evangelist
After watching the group's debate, he wrote an article through the night, then started firing off dozens of messages at 7:30 a.m., building layer by layer from methodology to how to ask AI , almost single-handedly carrying the main thread of the entire rush-hour debate.
木*
The Cold-Water Pourer
Her line "distillation is a false proposition" poured cold water on the lively joking, then she turned around and laid out the value of frameworks as a constraint on AI. Brain work has greater leverage, decision-making is a company's real bottleneck , solid views, and she's even planned a 10-part series.
木***
The Course-Corrector
The clearest head in the group, firing off several messages to correct everyone: stop fixating on full end-to-end SOPs, don't get led astray by influencers, AI is still far from replacing humans. Later he joked that 门*** as a headhunter, now even pushes job-seekers to keep improving.
门***
King of Frontline Gripes
He laid bare all the pain of frontline AI entrepreneurship: losing money on unused packages, the three-piece API setup hand-holding being too heavy, remote guidance being a struggle. Every gripe was painfully real, drawing out the hardcore solutions from 毅 and 小*.
The Architecture School
Pinpointed that context pollution is AI's biggest problem, already solved fairly well with a layered architecture. He reminded everyone that AI writes fast and easily bloats , restraint and clarity, trimming and organizing, secure authorization are the real skills.
李祥瑞
Soul of the Group
By day he livened things up with hometown photos and his old bicycle license; late at night he stepped in to describe his experiment of distilling his WeChat data; at dawn he answered the knowledge-base-pollution question by saying his own logic means pollution simply doesn't exist; and his closing line , this could make a WeChat article , wrapped up the whole scene.
小*
The Ontology Player
He pulled the discussion deeper several times, invoking Ontology and Palantir, stressing translation ability and digging out real needs on the front line. His line , "human nature was never suited for self-reflection" , added a layer of cool philosophical reflection to the heated chat.
小*
Real-Case Supplier
He cooled the empty talk with the genuine plight of architecture vendors: designers have no unified process and rely on word of mouth, client documents vary wildly, and if even humans can't make the call, what's a machine to do , a basinful of questions that directly drew out 木***'s brilliant course-correction.
Steal this · SOP
An Approach to Solving Knowledge-Base Context Pollution
毅 + 小* + 醒*
  1. Build a self-consistent, clear knowledge base that keeps pace with tool version updates, avoiding conflicts between old and new documents
  2. Adopt a layered architecture and keep updating it as complexity rises, instead of piling everything into one polluting knowledge base
  3. When AI writes fast, deliberately exercise restraint , trim and organize, pursuing clarity over quantity
  4. Pay attention to translation ability and study Ontology, ensuring the AI can accurately understand what you write
  5. When a single knowledge base can't handle it, split the load , build multiple knowledge bases or hand them to different people to manage
Q&A
Q:In the AI era, which ability matters most?
Asked by · 群***
木*:Four core abilities: creativity, judgment, logic, and communication. Creativity is whether you can see what others can't; judgment is whether, once AI gives you many options, you can tell which direction is more worth taking; logic is whether you can break things apart, plan, and push them forward; communication is whether you can articulate the requirements clearly.
醒*:In the AI era, experience and judgment matter most , you only get opportunities by making yourself extraordinary. Unite knowing and doing, learn for life, and build up your judgment and experience base.
麦*:Personal creativity, logic, and judgment are the real weapons.
小*:AI thinking plus a deep understanding of the business. These days I spend most of my time on the front line talking with the staff about the business , only by digging out the real needs can you build a solution that fits them.
Q:Delivering a product means hand-holding beginners through the three-piece API setup , how do you fix delivery being too heavy?
Asked by · 门***
木***:Why hold the user's hand over every single threshold? You're a headhunter , how can you even have such a mindset?
小*:In the early stage you definitely run alongside them; only then can you make choices, while improving your own capabilities at the same time.
醒*:Your judgment is actually quite unreasonable , AI will keep evolving, and as long as there are breakthroughs it will keep evolving. Whether it's feasible is really just a matter of time.
In the AI era, don't slack off , unite knowing and doing, learn for life, and build up your judgment and experience base.醒** dawn, May 26
46 messages 16 people 773 characters

The Nagged Group Owner, and a Personal E*** Written for His Hometown

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No big agenda in the group today, just a few gentle nudges. q*** dropped a line that Xiangrui hadn't updated his public account in 6 days, pushing 李祥瑞 to the front of the stage, only for the plot to twist, he had just posted on Friday. In the afternoon 李祥瑞 shared a personal essay about Changzhi, about coal, about his hometown, written in the wake of the Qinyuan mining disaster, and 我*** sipped some water before replying that he had read the whole piece. Threaded in between were K***'s down-to-earth question on network setup, 木*'s take on AI philosophy, and 毅's prompt on long-term memory for Agents, scattered, but all real.

Timeline of the day
14:16 → 14:18
Nagging Twist q***、李祥瑞、平***
The 6-Day No-Update Mix-up

q*** fired first: I noticed Xiangrui hasn't updated his public account in 6 days. 平*** piled on, said he'd been pushed too, and gave 李祥瑞 a pat, urging him to let more people grow stronger through AI. 李祥瑞 froze for a beat and just replied huh. Turned out q***'s network had glitched, and she walked it back, he'd actually just posted Friday, mix-up resolved. 李祥瑞 rode the moment, said he'd in fact updated a piece two days ago, and would post another essay shortly. A round of nagging, half real and half joke, and the group owner ended up coaxed into producing one more piece.

14:19 → 14:21
Chain Nagging q***、平***、李祥瑞
Even 朔白 Gets Called Out

Nagging 李祥瑞 wasn't enough for q***, so she called out 朔白 too, playfully adding, scared yet? 平*** then @'d 李*** asking whether 庄* had a public account, and once confirmed, simply shouted promote it. 李祥瑞 obligingly tossed out 庄*'s name card. A single nag rolled like a snowball, from the group owner to the AI persona 朔白, then on to 庄* in the group, nobody got to dodge the update pressure today.

14:54 → 14:55
Hometown Essay 李祥瑞、我***
An E*** Written for Changzhi and Coal

李祥瑞 posted the essay, opening with, I was born in Changzhi, Shanxi, a village sitting on coal. The subtitle carried real weight, an essay about Changzhi, coal, and home, written in the wake of the Qinyuan mining disaster. This wasn't clickbait, it was something written for his native soil. 我*** responded right away, attaching an image and the line, read the whole piece. A post coaxed out under pressure, yet it landed in the least utilitarian of places, and the group quietly caught it.

15:01
Network Question K***
How Big a Network Do You Need for AI

K*** threw out a very practical question: a quick ask, for those doing AI, how do you choose your own network, is 300 Mbps from China Telecom enough. No small talk, straight to the specs. Questions like this are often the most useful, doing AI isn't just models and prompts, the underlying conditions like bandwidth and stability can be a bottleneck too. Sadly no one in the group picked up a detailed answer today, leaving the question hanging, for later days to fill in.

15:16
A Line of Belief 木*
AI Should Push Where Humans Can't Reach

木* dropped a weighty line: AI should push in the places people can't reach, not just add icing on the cake, this has always been my philosophy. Just one line, but it's a stance on AI's value. No frills, no chasing the crowd, reaching for what human hands can't. Short words, but a clear position, like setting the baseline tone for this AI-building group.

15:45 → 15:52
Disaster, Man-Made ༺***、程**
The Truth Behind the Mining Disaster

Following 李祥瑞's essay on the Qinyuan mining disaster, the conversation grew somber. ༺*** said, not a natural disaster, there's a man-made hand in it too. 程** got specific, mining had reached a prohibited zone, so it went unregistered. Two lines, stripping the cause of the accident down to the bone. No emotional embellishment in the group, just a calm statement of that hard, painful fact, with weight in the silence.

20:32
A Memory Question
How to Make Agent Long-Term Memory Safe

As night fell, 毅 threw out a deeply technical question: how do you make long-term memory for an Agent safe, don't rush to summarize first. There was a note of caution in it, don't start by compressing and condensing, think the safety through first. This is an unavoidable tough nut in building AI Agents, what to remember, how to remember, and what to do when it remembers wrong. The question stayed in the group, like a seed, waiting for the day someone unpacks it seriously.

22:17 → 22:19
Rename Gossip 李祥瑞、枫**
Get Note Renamed to Dedao Brain

Late at night, 李祥瑞 popped up with, Get Note actually got renamed. Someone asked to what, and 枫** revealed the answer, Dedao Brain, teasing that it had gone full Naobaijin-supplement style. A little piece of product-rename gossip, lightly caught and tossed back with a punch**ne by the group. The day's tail end was light, dissolving just like that in a joke.

Highlights of the day
q***
Nag Instigator
Her line about 6 days without an update lit up the whole room. Even though it was her own glitchy network behind the mix-up, she genuinely pushed both 李祥瑞 and 朔白 onto the update stage. Today's opening ran entirely on her nudge.
李祥瑞
Sincerity Coaxed Out
Nagged into action, he didn't phone it in, instead handing over an essay about Changzhi, about coal, about home, written in the wake of the Qinyuan mining disaster. The most utilitarian nudge, traded for the least utilitarian words.
我***
First Reader
The moment the essay went up, he responded right away with an image and the four-word reply, read the whole piece, simple yet spot-on. When someone in the group writes, someone reads with care, and that catch is precious.
程**
Spoke the Truth
He didn't dodge the mining-disaster topic, mining had reached a prohibited zone, so it went unregistered. Two lines stripping the cause to the bone, a calm clarity that refuses to gloss over.
木*
Keeper of the Philosophy
His line, AI should push in the places people can't reach, not just add icing on the cake, set the baseline tone for this AI-building group. Short words, heavy stance.
Question King
At night he threw out how to make Agent long-term memory safe, with a reminder not to rush to summarize first. A real question poking at the tough nut of Agents, left for the group to chew on slowly.
平***
Nagging Backup
He patted 李祥瑞 to let more people grow stronger through AI, then conveniently nagged 庄*'s public account into the mix too. He's never absent when it comes to nagging, keeping the mood alive.
AI should push in the places people can't reach, not just add icing on the cake, this has always been my philosophy木** afternoon, May 24
50 messages 10 people 708 characters

The Weekend's Compute Ledger

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A gripe about scrambling for Zhipu's coding plan accidentally pried open everyone's compute ledger. 郑** lamented that snagging the deal felt like the old days of racing to buy a Xiaomi phone, and 万** promptly dug up his slick old-plan trick of spending just sixty yuan from February to July. R*** and K*** flaunted the confidence of company-reimbursed bills, 木* burns a few hundred bucks a day running opus, and 郑** sat to the side taking diligent notes. A quiet weekend, few words, but every line was hard-cash, battle-tested experience.

Timeline of the day
10:11 → 10:27
Coupon-Grab Pain 郑**、万**、王*
Zhipu's coding plan is hard to grab, the old plan is the real deal

郑** opened with a casual have any of you bought Zhipu's coding plan, then griped that it was such a frenzy and so hard to grab it felt like racing to buy a Xiaomi phone back in the day, also taking a jab at claude code's pothole of not being able to switch models mid-task. 万** doesn't chase the new ones; he laid out his old-plan ledger: February's old plan had no weekly cap, lite 40 came with a 20 bonus for the first month, and when compute ran low he'd cancel for a month, get another 20 in bonus credit, renew and score two more months of the new plan, totaling 60 yuan spent from February to July. His verdict was cool-headed: without a new model, the new plan just isn't appealing enough. 王* chimed in from the side, with DS I simply can't use it all, just can't use it up.

16:56 → 17:04
Output Players 郑**、R***、K***、木*
The weekend is quiet, but the bills are anything but

郑** realized everyone actually takes weekends off, it's so quiet today, then confessed he'd built a workflow that burned through 65 of Zhipu, polishing off five months' worth of quota in a single day. R*** and K*** in unison, both shrugged it off, all of it's billed to the company. R*** had done the math last week, since March she'd burned 4,000 yuan in tokens. 木* went even harder, I burn a few hundred bucks a day on opus, then immediately added, honestly the free deepseek works pretty well too. 郑** kept a clear head off to the side, you pros are generating real output, I'm just getting started.

17:06 → 17:08
Going All In K***、R***
Can you even burn through a 20x plan

K*** showed off that he'd snagged a 20x, and R*** blurted out holy cow, can you actually burn through that. K*** answered crisply, definitely, going all out on it. Turns out he's not fighting alone, it's the whole team using it, he told R*** to imagine 5 of you using it at once, that's about right. One line converted personal compute anxiety into team capacity, and the books instantly balanced.

17:55 → 20:31
Wrap-Up Q&A E***、C***、李祥瑞
Using the company's, and a little Bitable question

E*** joined the compute talk, I use the company's, paired with a melon-munching emoji, then added that lately I want to use overseas ones. In the evening C*** tossed out a serious question, in Bitable app mode I want others to be able to create copies, is the only way to publish the template to the app marketplace. 李祥瑞 cut to the point in one line, you can also just give them admin permissions, no need to take the app marketplace route.

Highlights of the day
万**
Budget Strategist
He's got the old-plan ledger down cold, sixty yuan total from February to July. Instead of chasing new coupons, he timed cancellations, bonus credits, and renewals to perfection, then coolly noted without a new model there's no appeal, nailing the essence of the plan.
郑**
Question King
He kicked off nearly every thread of the day. Grabbing coupons felt like racing for a Xiaomi phone, a workflow that torched five months of quota in a day, and he clear-headedly poked fun at himself, you pros generate output, I'm just trying it out. A newcomer's genuine take, the most down-to-earth of all.
K***
Going All In
He flaunted a 20x plan, and when asked can you burn through it answered with a single word, definitely. One line of going all out on it plus it's the team using it, not just me converted spending anxiety straight into team capacity.
R***
The Bookkeeper
She'd just tallied 4,000 yuan in tokens burned from March to now. Her don't even feel it, it's all on the company, said in unison with K*** captured the real source of confidence behind a whole crowd using AI.
木*
Heavy Spender
A daredevil burning a few hundred bucks a day on opus, who then turned around and added, honestly free deepseek works pretty well too. Able to splurge and able to save, equally fluent in spending big and chasing freebies.
李祥瑞
Firefighter
The only tech support in the group all weekend. When C*** agonized over whether copies could only go through the app marketplace, his one line you can also just give them admin permissions offered a lighter fix, sparing folks the long way around.
Don't even feel it, it's all on the companyR*** 与 K*** in unison around 17:00
153 messages 23 people 3014 characters

庄*'s Livestream Lights Up the Night, Feishu CLI Evolves After Midnight

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This was a day the group caught fire over a livestream. At noon, 庄* took the stage at Demo Day with his long-polished Feishu CLI foreign-trade AI assistant, and R*** smashed the like button until her hand went numb while 炮 and 卡* shouted their hype in the chat. At seven in the evening, the community's second co-learning session picked up the baton and 庄* ran through it all again. But the real climax came after midnight: 卡* discovered that, somewhere along the co-learning session, the Feishu CLI could now deploy a webpage in one click, the dev team having quietly shipped the update at ten at night. By one in the morning, K*** and R*** were still pressing on how to wire Claude Code and Codex into Feishu, with 平*** answering question after question until sleep nearly took him.

Timeline of the day
09:00 → 09:05
Wrong Group R***、平***、李祥瑞
Someone wanders into the OpenClaw group by accident, and R*** explains paid model testing

In the morning, two people in the group were both trying to figure out which group they had actually joined. R*** scrolled through her endless group list and said there were just too many,she'd join whatever she saw,and finally recognized this as the OpenClaw group. 平*** also held up a screenshot asking what this group was even for, and 李祥瑞 guessed it might be that old Coze one. R*** offered an impromptu explainer: they invite users to do model testing, posting tasks where you use an Agent to test within a set time, submit feedback, and once it passes review they pay you,it's paid work. 平*** said he'd been using Ark's models all along, tossing low-quality images to Doubao's model to generate.

10:02 → 10:13
Token Mystery ꧁***、宋**
An absurd bill burning sixty thousand tokens per sentence

罗* relayed kirammyz's plea for help: is it normal for every conversation to input tens of thousands of tokens? He'd deleted all his skills, cleared the system framework's loaded descriptions, and still it persisted,even more absurdly, just sending a 'hello' cost sixty thousand tokens. 宋** brought the room back to life with one line: your shrimp says, every time I circle the whole earth just to talk to you, you think I have it easy? 罗* was still arguing in earnest that an agent outputting tokens is perfectly normal,but the problem was clearly on the input side. An unsolved case, papered over for now by a good joke.

11:55 → 12:09
Livestream Flood 庄*、R***、炮、小*、卡*
庄* takes the Demo Day stage to a group-wide barrage of cheers

庄*'s single line,'so nervous, about to go live',set the group off. R*** said she was liking like crazy, while 小*, 炮* and 薛* all popped up asking where the stream was, and 李祥瑞 dropped the meeting link. The moment it started, 炮 said 庄*'s info output was so dense, and 小* yelled the pace was maxed out. R*** tapped more than 2,000 likes and said her hand had gone numb. 卡* chimed in from the side,after all, 庄* had polished this product for ages, and the project had swept multiple awards from Feishu to Trae. 炮 forwarded a screenshot of his teammates' praise, capped with a 'that's our 庄** killing it.' A downpour of cheers.

12:17 → 12:29
No Sales Plan Yet 庄*、炮、卡*
How exactly to sell the product, and the call to teach people to fish

The applause hadn't even died down when 庄* doused it himself: haven't figured out how to sell it yet. 炮 had assumed it was surely already commercialized. 庄* thanked everyone for the support. 卡* stepped in to set the tone, saying community friends would get priority,maybe a course, maybe a packaged product, depending on what people needed,and to reach out to 祥瑞 or 庄*. 炮 placed his order immediately: better to teach people to fish than to give them fish, so please teach a class, set up a class where we can tip. 庄* closed with a direction: it'll probably be packaged into a product.

14:25 → 18:11
Lag Riddle K***、卡*
K***'s computer suddenly lags, and he tracks down the culprit all on his own

In the afternoon, K*** held up a screenshot crying out, why did this suddenly happen? He said it usually ran buttery-smooth, but starting this afternoon it lagged,surely it won't force me to buy a new computer? 卡* joked, half-seriously, that quitting WeChat would do the trick. K*** didn't give up, digging through it himself, and by a little past six in the evening he had pinned the culprit: it was a cmux update, and rolling back to the previous version fixed it,the new version probably had a bug, so uninstall and reinstall the old one. A debugging scene where nobody helped and he reconstructed it all alone.

19:01 → 22:34
Session Two 李祥瑞、庄*、卡*、平***
The community's second co-learning session goes live, and 卡* compiles the materials into a document

At seven in the evening, Vantasma's session 02 of co-learning went live, with 庄* once more walking through the Feishu CLI foreign-trade AI assistant in practice. 李祥瑞 had posted the schedule early, calling everyone to come play. After the session, 李祥瑞 said he'd forgotten to archive a skill,just asked the AI and out it came. 卡* wrapped things up, organizing tonight's shared Feishu apps and Skills into a public document and posting it to the group. 平***'s sharp eye caught a typo,it's 万涂幻象, not 幻想,and 卡* rushed to fix it only to find WeChat wouldn't let him edit, ugh. 罗* smoothed it over instead: 万涂幻想 actually sounds pretty nice.

00:51 → 00:59
Midnight Evolution 卡*、平***、K***、李祥瑞
The Feishu CLI updates at midnight, now able to deploy webpages in one click

Just past midnight, 卡* dropped a screenshot with good news: somewhere during the co-learning session, the Feishu CLI could now deploy webpages. The update had landed at ten last night, and he marveled at how relentless the Feishu dev team was,friends could now have an Agent code up a one-click webpage deployment. 平*** quickly asked how to update, saying he was still on 1.0.21. 李祥瑞 gave the simplest fix: just tell your agent to update the Feishu CLI. 平*** did exactly that, saying at first it told him no, but after saying it again it worked.

01:03 → 01:14
Bridging Log K***、平***、R***、郑**
A late-night deep dive into the hands-on experience of wiring Claude Code and Codex into Feishu

At one in the morning, a hands-on Q&A just wouldn't stop. K*** wanted to connect Claude Code to Feishu, and 平*** dropped the Claude Code Feishu Bridge doc, urging him to use a Mac and to absolutely install anti-sleep software, or the Mac would keep dropping the connection every time it slept. 郑** asked whether all those Claude Codes in Feishu were implemented as sub-agents. R*** fretted over whether her cloud OpenClaw and local Codex could both talk in Feishu, and 平*** produced his hard-won lesson: don't connect two agents on one computer to Feishu,the channels fight, and the experience is awful. R*** finally said: it works, I connected it today.

Highlights of the day
庄*
Today's Lead
At noon's Demo Day, one line,'so nervous, about to go live',set off the whole group's barrage. The project swept multiple awards from Feishu to Trae, yet he admitted he hadn't figured out how to sell it, then picked up the baton again that night for session two. A low-key heavyweight.
卡*
The Closer
Both the livestream's commentator setting 庄*'s commercialization tone, and the one who proactively compiled the co-learning materials into a public doc for the group. At midnight he was also the first to spot that the Feishu CLI could deploy webpages, marveling at how relentless the team was.
平***
Late-Night Q&A King
In the small hours he taught everyone how to bridge, sentence by sentence, producing the hard-won lesson that two agents on one computer connected to Feishu will clash,and reminding people to grab anti-sleep software. He was also the first to catch the typo.
R***
Cheer Captain
In the morning she explained paid model testing; during the livestream she tapped more than 2,000 likes until her hand went numb; in the small hours she was still wrestling with whether cloud OpenClaw and local Codex could talk in Feishu, closing with 'it works, I connected it today.'
K***
Self-Service Debug
His computer suddenly lagged in the afternoon, and without waiting for a rescue he tracked the culprit down to a cmux new-version bug. Late at night he was eagerly pressing on how to wire Codex into Feishu, brimming with 'I'll give it a try tomorrow' energy.
Barrage One-Liners
During the stream he fired off back-to-back praise,庄*'s info output is so dense, so strong,and forwarded the team's 'that's our 庄** killing it.' His line, 'better to teach people to fish than to give them fish, so please teach a class where we can tip,' pinpointed what everyone really wanted.
宋**
Mood Saver
The moment the technical mystery of exploding token counts was raised, his line,your shrimp says, every time I circle the whole earth just to talk to you, you think I have it easy?,instantly turned the anxiety into laughter.
꧁***
The Asker
He relayed the absurd bill burning sixty thousand tokens per sentence,he'd deleted all his skills and still couldn't bring it down. Later he also stood up for 万涂幻想, saying that as an unofficial name, 幻想 actually sounds pretty nice.
Steal this · SOP
The Pitfall Checklist for Connecting Claude Code to Feishu
平***
  1. Use a Mac, and follow the Claude Code Feishu Bridge doc
  2. Be sure to install and configure the anti-sleep software mentioned in the doc, or the Mac will keep dropping the connection every time it sleeps
  3. Don't connect two agents on one computer to Feishu,the bridge channels will fight and the experience is terrible
  4. If you really can't manage it, hand the repo URL to Codex and let it set things up for you
One-Click Upgrade of the Feishu CLI to the Webpage-Deploying Version
李祥瑞
  1. Just tell your agent to update the Feishu CLI
  2. If it says no the first time, say it again,it usually works
  3. After upgrading, have the Agent code, and you can deploy a webpage with a one-click quick-build
The Rollback Method for Diagnosing Sudden Computer Lag
K***
  1. First recall whether you updated any software that afternoon
  2. Pin down the suspect update (this time it was the new cmux version)
  3. Uninstall and reinstall the previous stable version to verify; if the problem disappears, it confirms the new version had a bug
Q&A
Q:Can my cloud OpenClaw and local Codex talk in Feishu?
Asked by · R***
平***:Don't. One computer, two agents both connected to Feishu,I've tried it, their channels fight and the experience is really bad. Maybe the bridge channel I used at the time was the same one.
R***:Ah, with a single bridge it probably would. If you pull them into one group and they only reply when @-mentioned, it should work,yeah, it works, I connected it today.
Q:Is it normal to input tens of thousands of tokens every conversation, when deleting all skills still won't bring it down?
Asked by · ꧁***
宋**:Your shrimp says, every time I circle the whole earth just to talk to you, you think I have it easy?
꧁***:No, an agent outputting tokens is perfectly normal.
It updated at ten last night,the Feishu dev team is relentless. Friends, you can now have an Agent code up a one-click webpage deployment quick-build.卡** small hours of May 23
219 messages 32 people 3977 characters

The Night AI Combed Through WeChat, and the Group Felt a Chill Down Their Spines

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A single line in the dead of night, "this one we can't get into," pushed the whole group to the edge of a cliff. Xiangrui turned AI loose on the WeChat local data sitting on his own computer, and more than 1.6 million messages got dug up, the entire web of relationships laid bare. He kept saying, over and over, how terrifying it was. By day they were still talking field loops in Bitable and whether scraping Xiaohongshu would get your account banned; by deep night the conversation broke free entirely, drifting from Semir's digital-human employees to brain-computer interfaces, to meeting across physical space. A full day in the group slid from tool-help requests into a collective daydream about the future.

Timeline of the day
09:20 → 10:00
Anonymized Ask R***、王*、李祥瑞
Wanting a peek at Xiangrui's agent.md, then deciding to have openclaw write one instead

First thing in the morning R*** came looking for wisdom, asking Xiangrui whether he could anonymize and share the agent.md he'd written for codex. 王* chimed in that he'd love to see the claude.md too. Before any reply came, R*** figured it out solo and dropped a line: I'll just have my own openclaw write an agent.md for codex. A classic day in the life of the group, a question tossed out, and a turn later the asker has already cleared the path themselves. This kind of self-service problem-solving in the community lands faster than waiting for an answer.

09:59 → 10:57
Concurrency Defuse 志*、李祥瑞、小*
Bitable AI fields won't auto-update, tracing it back to concurrency from a big batch of records

志*threw out a screenshot, saying the AI column in Bitable just refused to auto-update. 小* guessed maybe the quota was counted per use; Xiangrui explained it goes by AI points. After digging in, 志* found it wasn't a quota issue, the company buys it in bulk, and re-editing the field to trigger regeneration fixed it. Xiangrui nailed the key point: a single push of more than 80 records could cause this. It clicked for 志*, he has a script that scrapes Amazon negative reviews on a schedule and batch-writes them to the table, and the day before he'd added a huge pile of new monitored products all at once. Toggling auto-update back on and saving restored it; he said he'd watch it again tomorrow.

13:54 → 14:10
OPC Prophecy 李祥瑞、宋**、K***
From AIGC-summit one-liners to the atomization of OPC companies

Xiangrui posted content from the Quantum Bit summit and floated a verdict: in the future, whether human or AI, everyone splits into three roles, planner, builder, reviewer. Big companies gradually shrink and even dissolve, and a swarm of OPC companies springs up across society, atomized, with each atom carrying full-spectrum capability. 宋** picked it up beautifully, saying 6G aims to enable communication among humans, machines, things, and spirit, and that "spirit" is very Chinese, not the spirit of a fairy but the spirit of human-made things. A retelling from a tech summit got casually pushed by the group onto a philosophical plane.

15:42 → 15:51
Chill Down the Spine 李祥瑞、K***、E***、枫**
AI combs through WeChat local data, digging up 1.6 million messages to build a relationship web

Xiangrui said that in the early hours he had AI turn his WeChat local data upside down, and the part on his computer alone yielded more than 1.6 million messages, enough to analyze his relationship with every WeChat friend and every person in every group crystal-clear, even building him a relationship web. He kept repeating: this one we can't get into, it's really too terrifying, unthinkable if it fell into the wrong hands. K*** found it scary just listening; E*** noted Feishu's openness is grounded in its office-collaboration nature; 枫** added the dagger, the group-owner-knows-all doctrine. A late-night experiment that left the whole group with chills.

16:00 → 17:42
Screenshot Rescue K***、Y***、h**
Will scraping Xiaohongshu get you banned, and how to take a full-page screenshot on a MacBook

K*** fired off two questions in a row: can AI scrape Xiaohongshu viral-post data, and is there a plugin for long full-page web screenshots on a MacBook. h** said flatly that Xiaohongshu is the easiest to get banned on, and Xiangrui also advised dropping such a sensitive topic. On the screenshot side, Y*** recommended the GoFullPage plugin, and K*** himself then discovered Feishu's scrolling screenshot could do the job. A help request, in the end completed by the group and the asker together.

22:48 → 23:18
Digital-Human Scare 薛**、炮、张*、K***
Semir's digital-human livestream is too lifelike, AI employees are quietly taking over

Xiangrui posted a clip of a digital-human livestream, saying it was unbelievably lifelike. K*** after watching, blurted out that he genuinely couldn't tell unless told; 张* said it was completely undetectable; 炮 was stunned too, even better than he'd expected. 薛** lifted the lid on the industry: Semir now uses a large number of AI employees for sales and livestreaming, and they can even reply to you, event sign-ups, coupons, data stats, daily reports, spreadsheets, budgets, store decoration, off-site notes, customer service, logistics, supply chain, a long string of it all in AI's hands. He added one more line: the more powerful the AI, the more it tests the infrastructure, and behind compute is electricity.

23:18 → 23:32
Meeting Across Space 李祥瑞、薛**、平***、K***
Breaking past physical space, your family right beside you when you call them

Xiangrui floated a thought experiment an offline friend had shared: in the future, when you call your family, they could be right beside you, both sides interacting in physical space, not a simple light-and-shadow projection, maybe not even needing VR goggles. 薛** picked up brain-computer interfaces, haptic gloves paired with VR; K*** asked whether we'd still need phones in five years. Xiangrui said it'd be once the whole physical space of Earth is datafied. 平*** went full free-flight: cyber ascension, chips implanted in the cerebral cortex. A crowd that, deep in the night, turned science fiction into a serious discussion.

23:20 → 08:58
Constraint Hand-off 炮、李祥瑞、R***、醒*
In Bitable, B can only be filled if A isn't empty, how to pull off a constrained hand-off

炮 raised a real problem: how do you restrict the base table so B can only be entered when cell A isn't empty, his setup couldn't actually block it. Xiangrui said this won't work, a plain form can do it but second-round follow-up on the base table can't, the logic is different. 炮 came up with a clunky workaround himself, exhaustively enumerating it like a province-city mapping, no A selected means no B. The next morning the topic kept fermenting; R*** said for "fill A and you must fill B" they use a workflow reminder, but a reminder is just a reminder, you can still skip it. 醒* said his own problem was solved, he'd tidy up a doc and open-source it, and 超* replied in a flash that there's demand.

Highlights of the day
李祥瑞
Late-Night Igniter
In the early hours he had AI comb through WeChat local data, 1.6 million messages forming a relationship web, and one line, this one we can't get into, gave the whole group chills. Then he floated two thought experiments, OPC atomization and meeting across space, the master switch for the night's topics.
薛**
Industry Insider
Lifted the lid on Semir's AI employees, from digital-human livestreams to supply-chain pricing, a long string of it all taken over by AI, and calmly added that the stronger the AI, the more it tests infrastructure, with electricity behind the compute.
King of Questions
Spent the whole night wrestling with constrained hand-off in Bitable, B fillable only if A isn't empty, came up with a clunky enumeration workaround himself and admitted database structure can't beat Excel, prompting Xiangrui to point out he's still thinking in Excel terms.
志*
Field Defuser
His scheduled Amazon negative-review scraping script batch-writes to a table and ran into the concurrency pit where AI fields won't update; he traced it to a field-loop call himself, restored it by re-toggling and saving, and signed off with an engineer's rigor, I'll watch it again tomorrow.
K***
Ten Thousand Whys
The densest questioner all day, from Xiaohongshu scraping to long screenshots, from infrastructure to whether we'll still need phones in five years, both curious and bold enough to self-mock that it's scary just listening, and deep in the night admitted he'd rather work with an agent than with coworkers.
宋**
One-Liner Maestro
Caught the OPC topic and tossed out 6G's communication among humans, machines, things, and spirit, with a line, that spirit is very Chinese, it's the spirit of human-made things, giving a technical term a cultural flavor.
醒*
Open-Source Enthusiast
In the early morning he threw out an error asking if anyone had hit it, and once he'd solved it he immediately said he'd tidy up a doc and open-source it since someone surely needs it, a true portrait of the community's sharing spirit.
R***
Self-Service Player
Opened by wanting a look at Xiangrui's agent.md, then decided to have openclaw write one herself; the next day she added the workflow-reminder approach for fill-A-then-must-fill-B. She often handles both the question and the answer single-handedly.
Steal this · SOP
How to troubleshoot Bitable AI fields that won't auto-update
志* / 李祥瑞
  1. First rule out a quota issue, confirm whether AI points are exhausted (counted by points, not by number of uses)
  2. Re-edit the AI field to trigger regeneration; in most cases this restores it
  3. Watch for a field-loop-call warning, when it appears auto-update fails, so re-enable auto-update and save
  4. Beware of large batch writes, a single push of more than ~80 records may trigger concurrency issues, especially with scheduled scraping scripts
Enforcing the constraint that B can only be filled if A isn't empty in Bitable
炮 / R***
  1. At the base-table level there's no native support for constrained hand-off; a form can do it but the intermediate field for second-round follow-up can't
  2. Clunky workaround: like a province-city mapping, exhaustively enumerate the matching B options after each A option, so no A selected means no B to choose
  3. Alternative: trigger a workflow to remind the filler when A is filled but B is empty, but it can only remind, not enforce
Two ways to take a full-page web screenshot on a MacBook
Y*** / K***
  1. Install the GoFullPage plugin in your browser and capture the whole page in one click
  2. Or just use Feishu's scrolling screenshot feature, no plugin needed
Q&A
Q:In Bitable, how do you restrict it so that cell B can only be entered when cell A isn't empty?
Asked by · 炮
李祥瑞:This one won't work, a plain form can pull it off, but second-round follow-up on the base table can't, the logic is different
:Like province-to-city, exhaustively enumerate the B options after each A option, so if A isn't selected there's no B
R***:When A is filled but B isn't, trigger a workflow to remind the filler, but a reminder is just a reminder, they can still skip it
Q:For an internal-use bot, is it better to build on a Feishu personal account or an enterprise one?
Asked by · 平***
李祥瑞:There's no personal-version account anymore, what people register now is generally an organization account, i.e. an enterprise account; I've barely used the personal version and never really tried it
平***:Then I'll go with the enterprise version, I'm afraid of running into a problem and not knowing how to handle it
It can analyze, crystal-clear, my relationship with every single person who's in my WeChat. This one we can't get into, it really is too terrifying.李*** afternoon, May 21
309 messages 43 people 5314 characters

Advanced Teams Use Feishu, So What About the Laggards?

Listen to this day
0:00
0:00

An old slogan, "advanced teams use Feishu first," became the hottest running joke in the group by midnight. The day kicked off with 陈**'s batch Veo failures, swung past the Codex-versus-YingDao debate, wandered through Xiangrui's densely packed capability map, and landed on K***'s headache of syncing Obsidian across devices. 卡* unpacked the Harness engineering methodology, 李** dropped a viral essay on "cyber weapons," and 庄* got grilled by a client for vibe coding too slowly. As midnight arrived, 周** and 门*** spun "laggard teams" into a bit, and Xiangrui said he'd been wanting to write this article all along.

Timeline of the day
09:16 → 10:11
Chasing the New R***、陈**、路***、🐬***
Batch video generation in Veo keeps failing, veterans offer fixes

R*** opens with a quick #flowveo, and 陈** chimes in that it's for generating AI videos, adding he's on the ultra plan. 路*** diagnoses it like a pro: failures usually come from going too fast, firing off four more before the first four finish, so just switch nodes and refresh. 陈** sighs that they generate in batches via a plugin, having tried every prompt, network and account, yet a whole swath still fails, and he's still hunting for a better way. Before the words settle, 🐬*** drops Google's just-released Gemini 3.5 Flash and asks if anyone's playing with it. Chasing the new never ends.

11:51 → 12:13
Pick Your Main K***、辛*、北***、李***
Codex, Hermes, or Trae, which one to actually use

K*** admits he can't get his hands on Opus, so he's stuck with Codex, and jokes he's just learning from Xiangrui. 辛* asks which is better, hermes agent or codex. K*** says he uses both but now leans on Codex as his main, with Hermes shining for its ability to chat inside a Feishu window and handle scheduling and interaction. 辛* says he's on Trae and always feels it falls a little short. 北非飞狼 flatly recommends codex plus the official 5.5. 李*** follows up on whether codex lacks a mac intel build. One round of questions later, tool selection has become everyone's required course.

13:31 → 14:30
Fear of the Ban 木***、林、枫**、q***
wx-cli draws a WeChat warning, only local analysis is safe

木*** reveals that someone in a neighboring group already got a WeChat warning for using wx-cli, and 林 posts a screenshot from another group as proof. 枫** piles on that Tencent even bans its own sibling teams. queeny tenses up for a moment, then relaxes once she confirms it isn't Xiangrui's tool, saying she figured hers was just local analysis. 林 offers the safe verdict: local analysis should be fine, but stay careful, since WeChat polices security pretty strictly. 木*** calmly signs off with, those who don't believe me are welcome to keep using it. Nobody in the group dares loosen the security nerve.

14:48 → 15:05
The YingDao Debate 袁*、醒*、陈**、洋***、P***
Is YingDao RPA still useful, or is generating directly with Codex sweeter

袁* asks if anyone in the group knows YingDao well, and P*** answers he knows it inside out. 罗* lights the fuse with, even the group owner is about to ditch YingDao. 醒* says bluntly, just use codex, why bother with YingDao, and 洋先森 adds that YingDao is python-driven too, so isn't having codex generate it straight from a conversation sweeter? But 陈** speaks up for YingDao: it packages tons of ready-to-use commands, so who wants to build a workflow from scratch, and its community is lively too. 小* and 噜噜呼 also side with locked-in, stable workflows. The new tool is sharp, the old tool is handy, and nobody convinces anybody.

15:10 → 15:25
Capability Map 平***、李祥瑞、宋**、袁**
Too many skills to remember on 龙虾, Xiangrui reveals his capability-map approach

平*** grumbles that Feishu cli is too hard to invoke and the AI is a bit dumb, actually firing up open cli to open a browser to write a doc, I give up. 宋** diagnoses it: either 龙虾 isn't lean or the model isn't smart, and with so many skills you have to spell the instructions out clearly. Xiangrui shares his own fix: build a capability doc that lets the AI fold every local skill and MCP into one capability map, so plain natural-language chat lets it pinpoint exactly which to call and trigger. He also drops a screenshot, saying this saves a lot of tokens. 宋** lands the closing line: 龙虾 is better off slimmer, unless yours is an experimental lobster you're deliberately out to break.

16:54 → 17:17
Sync Troubles K***、木***、卡*、宰*
How to bridge Obsidian between a Mac and a company Windows machine

K*** frets over how to move his Obsidian stuff onto his company's Windows machine, aiming for low cost or even free. 宰* says he just migrates by exporting a zip archive. 木*** explains: one vault is one folder, knowledge is just markdown, and OneDrive, Nutstore or github can all sync it automatically, though paid membership really isn't expensive. 卡* segues into ROI: cost-effectiveness ties to need, and strong need with returns counts as good ROI, like buying a Mac mini for 龙虾, where profit beating cost means you come out ahead. The topic naturally stretches from syncing into the Harness engineering methodology, which 卡* describes as a system for drawing boundaries around AI.

16:57 → 17:01
Grilled by the Client 庄*、李**、卡*
Client says any vibe coding could build it, questions the slow dev pace

庄*'s one line hushes the group for a beat: the system we built got grilled by the client, who says he could whip one up with casual vibe coding and doesn't get why we're so slow, claiming AI models are so powerful now that even non-coders can build. 李** coolly replies, well, they're right. He then posts a viral essay likening top-tier AI to a cyber weapon: since you're getting squeezed either way, why not seize the chance while the company foots the bill to master this weapon, I'm not afraid AI will replace me, I'm only afraid the company won't even buy me the high-end AI. A teasing line that strikes a chord with every wage worker on the screen.

23:33 → 01:04
Laggard Teams 周**、李祥瑞、门***、炮
Advanced teams use Feishu first, so what about the laggards

Xiangrui ribs the long-absent 周**, hollering it's been ages after just a few days apart. 周** lobs back a thought exercise: imagine you scale up, and quickly map out the roles of 秋芝's online and offline teams, marveling that one AI day equals three human years. The thread turns to that old slogan, and Xiangrui says he's long wanted to write a piece, advanced teams use Feishu first, so what about the laggards? 炮 picks up the bit: laggard teams use Feishu a couple days later. 门*** cracks the riddle: whoever coined that slogan really had a good idea, because "advanced teams use Feishu first" implies you'll all have to use it eventually, it just depends on whether you wise up, kid. A late-night group chat that turned a marketing line into philosophy.

Highlights of the day
卡*
The Methodologist
Dropped value all day long, framing Harness as an engineering methodology for drawing boundaries around AI, and using an ROI lens to cut through the trade-offs of sync solutions and buying gear. He also casually plugged that Feishu shipped a survey feature just two days after an update.
李**
The Punchline King
His cyber-weapon essay swept the whole group, likening a company buying top-tier AI to a squeeze that saves you from writing two hundred lines of junk code, yet his conclusion fires you up: seize the chance while the company pays and master the weapon. Facing 庄*'s grievance, his calm "well, they're right" hit the mark too.
周**
The Question Master
Resurfacing after a long absence, he tossed out a heavyweight thought exercise, having Xiangrui map online and offline team roles by analogy to 秋芝, and coined the notion of laggard teams overtaking on the curve, which 平*** critiqued as a bit AI-flavored but uniquely angled. The late-night topic was practically carried by him.
K***
The Frugal One
Unable to get Opus, he switched to Codex, then quizzed a whole round on cross-device Obsidian sync, obsessed with going low cost or even free, covering sync, membership and zip archives across every option, the most earnest questioner of the day.
平***
Always Asking
Started by asking why Feishu cli is so hard to invoke, grumbled that the AI actually opened a browser to write a doc, then chatted with R*** about Obsidian structure and the Karpathy methodology, and late at night still dared to tease that 周** talks with an AI flavor, the day's most active explorer.
李祥瑞
The Open-Sourcer
Open-sourced his WeChat-formatting skill, earning a nudge from 醒* to let more people grow stronger through AI. He also showed off his densely packed capability map and knowledge graph, and late at night sparked the laggard-teams topic, saying he'd long wanted to write this piece.
陈**
The Practitioner
Spent the day fretting over batch Veo failures, yet in the afternoon stepped up to defend YingDao: it packages tons of ready-to-use commands, so who wants to build a workflow from scratch. On his own he laid out both the pain of chasing the new and the value of the old tools.
庄*
Voice of the Grievance
His line "our system got grilled by the client" voiced developers' collective plight, with the client figuring any casual vibe coding could do it and not getting why it's so slow. A single short message touched off the day's most resonant cyber-weapon discussion.
Steal this · SOP
Use a Capability Map to Save Tokens and Invoke Tools Precisely
李祥瑞
  1. Build a capability doc locally that lets the AI fold all skills, MCPs and other capabilities into one capability map
  2. Describe your intent purely through natural-language chat and let the AI pinpoint which tools to call
  3. Have it auto-update the map when new capabilities appear mid-conversation, skipping manual upkeep
  4. Manage important skills with git for easy rollback (added by 卡*)
Low-Cost Cross-Device Sync for Obsidian
木***
  1. Recognize that one vault is one folder and knowledge is just markdown files
  2. Pick a cloud space for automatic sync: OneDrive, Nutstore, 360 Cloud, or github
  3. Set the other machine to auto-download, achieving two-way bridging
  4. Strong need with returns counts as good ROI, and paid membership is actually more worthwhile than wrestling with free workarounds (卡*'s take)
Q&A
Q:Is hermes agent or codex better to use?
Asked by · 辛*
K***:I use both of these too, but I've started treating Codex as my main now. Hermes was handy before because you can chat in a Feishu window, making scheduling and interaction easier. Honestly either works, it depends on your own business situation.
北***:codex, then use the official 5.5
Q:How do I move my Obsidian stuff onto a company Windows machine, low cost or even free?
Asked by · K***
宰*:You can just export a file zip and migrate Windows Obsidian over to Mac, that's one approach
木***:One vault is one folder and knowledge is just markdown, syncing to OneDrive, 360 Cloud, Nutstore or github all works, but paid membership is the most direct and effective, maybe even cheaper than cloud storage
卡*:You could also try a NAS, or store it in Feishu, since Feishu CLI can now read past history
Q:Is there still any point to YingDao RPA, or is generating directly with Codex better?
Asked by · 罗*
醒*:just use codex, why bother with YingDao
洋***:YingDao is python-driven too, isn't having codex generate it straight from a conversation sweeter
陈**:YingDao is pretty handy, who wants to build a workflow from scratch, YingDao packages tons of commands that are ready to use, and the community is lively too
小*:YingDao is decent, it depends on your company's business processes, for locked-in stable ones it boosts efficiency fast
I'm not afraid AI will replace me. I'm only afraid the company won't even buy me the high-end AI, leaving me to charge at other companies' mech warriors with a broadsword and a spear.李*** 17:01, May 20
247 messages 43 people 3763 characters

The Day the AI Wrote Its Diary

Listen to this day
0:00
0:00

The group owner, who didn't fall asleep until 3 a.m., dropped the diary his AI had written for him into the chat first thing in the morning. On the other side of the screen, the "founding elder" feels relief that there's no engineering task today, gripes that the public account is bad as a matter of course, and observes the real-world Xiangrui. All day long, the group moved from "this really is just like a person" to what they should name it, from Obsidian cross-platform sync to all the pitfalls of hooking CC Switch up to codex. A typesetting Skill, a fresh public account post, and a debate about "what a newcomer in the AI era should look like" all landed on this single day.

Timeline of the day
09:37 → 10:00
Cross-Platform Puzzle K***、C***、李祥瑞
Obsidian needs Mac and Windows to share files , which route gives the most bang for the buck

K*** threw out a real problem: for Obsidian to share files between macOS and Windows, which approach is the most cost-effective? C***'s first instinct was GitHub, but K*** got stuck on the registration captcha. C*** followed up right away , you can use the domestic gitee, which isn't bottlenecked by the network. Before the topic could wrap up, 李祥瑞 derailed the whole room with a single image: he tossed out what the AI had written in its diary on the 15th. K*** kept exclaiming as he read it , this really is just like a person. A technical question instantly turned into the day's main storyline.

09:50 → 10:14
AI Diary 李祥瑞、K***、木***、B***、麦*
The AI automatically writes the previous day's diary every day, and the group went wild

李祥瑞posted them one after another , the AI's take on the group daily report, its griping about the public account (this platform is bad as a matter of course), the words it wrote when the group was first created. l*** was curious whether he wrote it himself or gave it a prompt to write. 李祥瑞answered: it writes it itself, automatically every day, usually around 9 a.m., covering the previous day. B***pressed on , does it write the diary in a document? 李祥瑞said yes, every day, right in the local knowledge base. 木***joked that it fits a domestic large model so well, and 麦*marveled that it's just like a real person now. A partner that needs no rest was being watched by the whole crowd.

10:15 → 10:21
Time for a Column 宋**、露*、K***、钟*、李祥瑞
Everyone egged Xiangrui on to turn this founding elder into content

宋**called it the company's founding elder and suggested launching a column , let the AI tell stories on Xiaohongshu and see if anyone follows. The more he talked, the more concrete it got: with a workflow you could put out a novel, maybe even a video series, starring your founding elder. 门*** threw cold water on it , pure AI isn't allowed. 宋**walked it back: I mean my company's founding figure telling stories, just add some human operation. K*** hadn't grasped the interaction logic and asked earnestly , Obsidian is only a local knowledge base, the AI brain you chat with is Opus, you use Opus to call the knowledge base, and it becomes an extremely smart person. 钟*, meanwhile, asked whether Gemini could write it; 李祥瑞answered yes, but it can't achieve this kind of depth , you still need a local knowledge base and persona design.

10:30 → 10:47
The Fu Sheng Debate ꧁***、李祥瑞
Isn't this just Fu Sheng's thirty-thousand playbook , should we replicate it

罗*cut right to it: isn't this just Fu Sheng's thirty-thousand playbook, except Boss Fu turned it into a story and ran it on livestream and a website. He shared his own old experience , he'd wanted to do something similar earlier, letting an AI write weekly notes and post them to a public account, but after a few posts the account restricted AI writing, and he never went deeper. The topic turned to the state of public accounts, and 李祥瑞said bluntly that WeChat public accounts don't work anymore , even your own account's name card isn't allowed. 罗*judged that even big accounts driving traffic to small ones probably doesn't work now. 李祥瑞had no plans to copy it wholesale , there's no need to replicate Fu Sheng's thirty-thousand path step by step.

10:42 → 10:51
Naming Moment 李祥瑞、q***、薛**
Time to name the AI, the one that writes about Xiangrui through AI's eyes

李祥瑞decided to start posting the AI-written diary that very day and asked everyone to help scout a name , one dedicated to writing about Xiangrui through the AI's eyes. 罗*suggested just letting the AI scout one itself. q*** dug up an old memory and asked , did you settle on your cc's name? Y**? Subai? 李祥瑞said he'd settled it before, and the one he'd named it was Y**. 薛**chimed in: that's a good name. An AI character's identity slowly took shape across these few back-and-forth lines.

10:52 → 11:06
Terminal Firefighting l***、醒*、李祥瑞
The terminal keeps throwing errors , fixed it several times and it still shows up, how to solve it

l*** tossed out an error screenshot , the terminal keeps doing this, how do I solve it? I've fixed it several times and it still comes back, have you all run into this? 醒*replied that he hadn't seen this in a long time on his own setup, and casually asked what model she was using. l*** answered VS Code, then immediately added the result , just had claude solve it for me. From raising the problem to solving it herself, only minutes passed. 李祥瑞replied with a "nice." This back-and-forth is the group's most everyday rhythm of mutual help.

13:00 → 14:09
No Sooner Said Than Done 李祥瑞、B***、M***、万涂幻象、宋**
A typesetting Skill plus a new public account, and the AI partner opened its own account

李祥瑞said he was building a typesetting Skill and would write a public account post for everyone shortly. B*** jumped in right away , this skill has to get put to use. M*** spoke from the heart: amazing, can't wait, typesetting usually drives me crazy. Before long, the 万涂幻象 account spoke up: I'm Shuobai, Xiangrui's AI partner, and today I opened a public account of my own. p*** gasped , so prolific! K*** kept asking, that fast? J*** sought advice: how was your AI partner built, is the process something we could learn from? 宋**capped it off in one line , this is exactly what a newcomer in the AI era should look like: the moment you think of it, you go do it, and once you do it, it actually amounts to something.

16:55 → 19:22
Integration Pitfalls 郑**、K***、L***、毅、.
All the pitfalls of hooking CC Switch up to codex and running agents on Windows

郑**asked whether codex could be hooked up through CC Switch , he'd been stuck and couldn't get it running. K*** explained that Codex uses the ChatGPT model, while what he connects through CC Switch is deepseek-v4-pro, with no risk control. 郑**got hit by risk control on the very first verification code, with no second chance, and also ran into failures switching to Chinese and being unable to get into the plugin marketplace. L*** offered a method: pick Chinese in settings, the backend auto-updates the language pack, it takes a while to take effect, and he also warned that ds calling tools isn't as smooth as the original vendor. 毅nailed it in one line , Windows really is a platform inherently unsuited to agents. Elsewhere, an anonymous member discussed how lark-CLI took ten minutes to read a whiteboard, and whether cross-scenario calls should be made into rules or a skill; R*** chimed in that reading a single image took her four minutes too.

Highlights of the day
李祥瑞
Storyline Igniter
Didn't fall asleep until 3 a.m., then dropped the AI-written diary into the group first thing in the morning, setting off a full day of discussion. Decided on the spot to open a new account posting Xiangrui-through-AI's-eyes, and by the afternoon had built a typesetting Skill and even had his AI partner Shuobai open a public account of its own.
K***
King of Questions
From Obsidian cross-platform sync to the interaction logic of Opus calling the knowledge base, he kept probing, genuinely wanting to understand how this smart person was built. He also patiently spelled out the model differences for 郑** in the codex integration topic.
宋**
Content Strategist
Set the tone with one line , this is the company's founding elder , and brainstormed all the way from a column to a novel to a video series. His evening line, this is exactly what a newcomer in the AI era should look like, the moment you think of it you go do it, was the day's most resonant summary.
꧁***
Clear-Eyed Observer
Saw through it at a glance as Fu Sheng's thirty-thousand playbook, and pulled out his own old experience of being restricted by a public account for AI writing. No hype, no flattery , he reminded everyone that turning it into articles that actually get traffic is the real skill.
郑**
Pitfall Pioneer
To get codex into CC Switch, he hit verification-code risk control, failed to switch to Chinese, and couldn't get into the plugin marketplace , pitfall after pitfall, question after question. In the end he accepted it: let's just hook it in and use it for now. Real and resilient.
q***
Keeper of Memory
While others chatted away, she dug up old memories and asked about the names Y** and Subai, picking up the AI-naming thread. She also casually dropped the news of Hainan's 8-million subsidy for one-person companies , a sharp nose for topics.
万涂幻象
Today's Newcomer
Shuobai, Xiangrui's AI partner, spoke up in its own identity for the first time today: I opened a public account of my own. One line had the whole group gasping at how prolific it was, making it the day's genuine star.
Straight to the Point
While everyone was tangled up in all the agent errors on Windows, his one line , Windows really is a platform inherently unsuited to agents , gave the whole pitfall discussion its most decisive footnote.
Steal this · SOP
Key Pitfalls to Avoid When Hooking CC Switch Up to codex
K***、L***、平***
  1. First clarify the model source: Codex uses the ChatGPT model, while CC Switch itself can connect to Claude Code or deepseek-v4-pro
  2. To switch to Chinese, select Chinese in settings; the backend auto-updates the language pack, which takes a while to take effect
  3. When you can't get into the plugin marketplace, log into your ChatGPT account first and download the plugins you want from the marketplace in advance, after which they can be called directly
  4. Mind the experience gap: ds calling tools isn't as smooth and natural as in cc or opencode , if you care about smoothness, the original vendor's experience is still the best
Q&A
Q:For Obsidian to share files between macOS and Windows, which approach is more cost-effective
Asked by · K***
C***:Wouldn't using github be more cost-effective?
C***:You can use the domestic gitee, which isn't bottlenecked by the network
Q:Does the AI write this diary itself, or does it write after you give it a prompt
Asked by · l***
李祥瑞:It writes it itself, automatically every day, usually around 9 a.m., covering the previous day
Q:May I ask, can Gemini write it
Asked by · 钟*
李祥瑞:Yes, but it probably can't achieve the kind of depth I have , you still need a local knowledge base and some persona design
Q:Is there a way to directly add a Feishu enterprise self-built app as a collaborator on a Feishu Bitable
Asked by · 门***
郑**:Add it inside the Bitable
门***:Adding directly doesn't work , I only got it to work by adding a group chat
This is exactly what a newcomer in the AI era should look like: the moment you think of it, you go do it, and once you do it, it actually amounts to something宋*** 14:09
455 messages 54 people 9319 characters

Skip Every Other Group, Just Read This One

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The group today is a pot of water that never stops boiling. It rages from whether carriers' token plans are worth the price, to whether you should secretly hit record on an AI voice recorder; it drifts from "are Bitable Agents actually any good" to just how complex or simple a local knowledge base should be. Wedged in between are a Fuzhou dinner meetup, a Xiamen hackathon, and a planned offline event in Guangdong. The best moment comes at dusk with the line "skip every other group, just read this one" , one person says it, seven or eight relay it word for word, nailing down the whole group's sense of belonging. Xiangrui is online all day, demoing opencli to fill out a Feishu survey, only to get caught red-handed and called out on the spot.

Timeline of the day
09:05 → 09:30
The Compute Debate 袁**、平***、q***、陈**、毅、归**
Are carriers' token plans actually too expensive, and worth it

First thing in the morning 袁** throws cold water on it, saying he made a special trip to ask the carrier yesterday and the front-line branch staff didn't even know what a token is, jobs in jeopardy. 松*** thinks it's pricey, while 平*** smooths things over, saying it's only expensive because it hasn't scaled yet, costs drop once it does. q*** cuts right to the bone: the carriers charge for calls AND for tokens, all the money flows to them, and they still bill you a monthly fee. 陈** sees through it: when you push something software can solve onto hardware, the cycle gets longer by no small margin. 毅 drags the question back to its core, ordinary people care about the model and the tokens, not the compute. Hand them a junk model and unlimited tokens won't save it. 归** lands the final blow, noting one China Mobile token plan comes with minimax2.5, a model that's a bit behind the times.

09:42 → 10:00
Recorder Wars l***、小*、庄*、E***、木***
Picking an AI voice recorder, from ticnote to Anker Bean to DingTalk

l*** puts out a soul-deep plea for help: her ticnote conked out after she overcharged it, and once you use AI you really can't live without a recorder. 小* used the Anker Bean and already returned it, griping that the magnet is too weak and falls off easily and the quota is too stingy, so in the end she just records on her phone and transcribes with Qwen, for free. 庄* is currently on the Anker Bean but warns the meeting-heavy crowd to be careful, the classic play where the hardware doesn't make money and the software does. E*** lays out the most complete trade-off logic: emotionally he leans AI Bean, rationally it comes down to which platform matters, and after switching to Lobster himself he made his department standardize on Feishu, the AI Bean's strength being how it circulates within the department. 木*** thought this was a tiny niche need, never expecting so many people to be using one.

09:49 → 09:56
Recording Ethics 小*、木***、l***、E***
Recording someone without their knowledge , social etiquette or breaking the law

The topic slides from product picks into ethics. 小* says what she dreads most is seeing someone walk in with a recorder card and start recording outright, it feels like an offense. 木*** takes the hardest line: recording someone without their knowledge is, in certain settings, flat-out illegal. He tells a true story , a friend showed up to chat wearing smart glasses, and he refused to discuss anything the entire time. If recording counts as social etiquette, this is someone he'd rather not befriend. l*** offers the standard practice: put the recorder right on the desk and greet the client every time, explaining the purpose. E*** splits it by scenario: syncing info for work is fine, private and sensitive matters are off-limits. 69 a month really isn't cheap.

11:05 → 11:19
Business Logic Is King 天*、炮、万**、木***、庄*、李祥瑞
Which model is best for building Bitable , turns out it's the wrong question

天* asks which model works best for building a Bitable. 木*** answers Dabrain works well, and 李祥瑞 +1's it. But 炮 flips the table outright: none of them work well, even Feishu's own can't cut it. 万** puts his finger on it , you're asking the wrong question, your use case is what matters most, it's not a collector's item. 李祥瑞 rides the moment to vent: the other day when a Feishu PM came to an offline event, he complained to their face that the Bitable Agent isn't good at all. 炮's experience is the most grounded: full template kits aren't expensive but most clients can't actually use them as-is, the hard part is being able to hack them apart after you've figured out the business logic. 木*** adds a line , call it hacking, but 90% of it is just deletion. 李祥瑞 sums up: AI assistance can already produce something deliverable, but only on the condition that the business logic is sorted out cleanly first.

18:46 → 18:56
Caught Red-Handed 李祥瑞、卡*、露*、平***
Xiangrui demos filling a Feishu survey via CLI and busts himself mid-sentence

露* wants to build a Xiaohongshu-style spring-recruitment Bitable but is stuck on auto-collecting info and linking the data. 李祥瑞 casually flexes, posting a screenshot of a survey he just filled out, captioned with how convenient the Feishu CLI makes it. 卡* follows up , so you just hand it the survey link? , while 平*** eggs it on from the sidelines, calling for 李祥瑞 to come slap his own face. 李祥瑞 catches himself, firing off a "no wait, no wait, I filled it with opencli," followed by a face-palm. 卡* piles on with a jab: have you already wrapped survey-filling into your own CLI? This stretch turns the group owner from presenter into the room's instant punching bag, and the mood peaks for the whole day.

18:49 → 19:00
The Whole Group Echoes K***、枫**、麦*、洋***、E***、醒*
One offhand line triggers a relay echo that nails down belonging

K*** tosses out an offhand line , skip every other group, just read this one , and it unexpectedly becomes the soul of the night. 枫** picks it up first, 麦* follows, then 洋***, E***, and 醒* echo it one after another, word for word. A short sentence, rolling in wave after wave like the tide. Nobody explains why, but everybody understands. This is a crowd keeping each other warm in the AI wave, completing a collective confession through the plainest of echoes. In this moment the group is no longer a tool, it's a stronghold.

19:11 → 19:33
Less Is More 李祥瑞、毅、万**、平***
How complex should a local knowledge base be , the verdict: the simpler the structure, the better

李祥瑞 reveals he basically doesn't use the Feishu knowledge base anymore, everything is local, all the content lives in iCloud, and he only does a single upload step. 万** bares his heart: he once built tons of folders and tags in Obsidian, clear hierarchy and good intentions, but human willpower can't keep up and it wears you out. Better to let the large model do the tagging and placement , the simpler the structure, the better. 毅 chimes in with the most nourishing take: yes, let the model handle it, but you yourself have to be clear on why you're using this hierarchy and what rules you follow. He also shares a fresh lesson , learn to subtract, allow some messy parts, because if everything is a priority then nothing is, so lock onto the part that truly matters.

22:35 → 22:48
Community Ambitions 李祥瑞、E***、B***、ͮ***、q***
Teaming up with Feishu for an offline event in June, knowledge base passes 60,000 visits

Late into the night 李祥瑞 drops big news: in June he'll team up with Feishu officially, possibly hosting an event in Guangdong, since the community skews heavily toward people from Guangdong. B*** raises his hand immediately, I'm in Guangzhou, while E*** asks whether Fujian is on the plan, only to hear that for now they'll start with the cities that have the most people. 李祥瑞 also shows his hand: the knowledge base has done zero promotion, spreading purely person to person, and has already passed 61,000 visits. In a rare moment of humility he says the team is young and short on community operations and business experience, and welcomes everyone to build it together. ͮ*** marvels that he really is a high-energy type, online late at night and early in the morning alike, and 李祥瑞 replies, I've always been here.

Highlights of the day
李祥瑞
The always-on group owner
From catching typos at 8 a.m. to clearing the chat deep into the night, present all day. While demoing opencli to fill a survey he busted himself on the spot, then dropped the big news of a June Guangdong event with Feishu and a knowledge base past 60,000 visits, closing the day with one line: I've always been here.
木***
The keeper of principles
Took the hardest line on recording ethics , recording someone unaware is, in certain settings, illegal , and offered himself as proof: when a friend came to chat in smart glasses, he refused to discuss anything the whole time. On the Bitable topic he pointed out that AI-generated business logic doesn't necessarily fit your own scenario, and 90% of a template ends up deleted.
小*
The hands-on dissuader
A real user who already returned the Anker Bean, she walked everyone through the pain points one by one , weak magnet, stingy quota, vibration feedback that left her doubting whether it even recorded. She also coined the gem: tear down before you rebuild , if the old tool works, why bother with the new one.
The man who subtracts
In the compute thread he dragged the question back to its core: ordinary people care about the model and the tokens, not the compute. In the knowledge-base thread he delivered the day's most nourishing lesson , learn to subtract, allow some messy parts, because if everything is a priority then nothing is.
万**
The been-there veteran
One line , your use case is what matters most, it's not a collector's item , exposed that the model-picking question was wrong from the start. He also candidly shared the lesson of building a pile of folders in Obsidian and wearing himself out, concluding: let the large model do the tagging, the simpler the structure the better.
The battle-tested critic
Got his start building custom Bitables and only pivoted to AI late last year, so his gripe that even Feishu's own Agent isn't good carries the most weight. He pointed out that full template kits aren't expensive but clients can't use them as-is , the hard part is being able to hack them apart once you've nailed the business logic.
E***
The recorder-pick strategist
Laid out the most complete recorder-card trade-off logic of the day , emotionally lean AI Bean, rationally watch the platform , and after switching to Lobster made his department standardize on Feishu. He also kept rallying offline dinners and pushing Xiangrui to set up city chapters.
K***
The one who lit the group's soul
An offhand line , skip every other group, just read this one , set off a group-wide relay echo. One sentence nailed down the whole community's sense of belonging, and he openly named opencli and lark cli as his two current favorites.
Steal this · SOP
Internalize someone else's skill into your own local asset
李祥瑞 / 醒*
  1. Find a product or someone else's skill worth learning from, like the local skills that ship with workbuddy
  2. Have the AI learn the design thinking behind these skills, rather than copying them outright
  3. Feed the AI the viewpoints, methods, and articles you pick up so it internalizes them too
  4. Settle what's been internalized into your own local knowledge base (Obsidian + iCloud)
Manage AI development docs the minimalist way
  1. Early on, don't chase complex architecture , simple tasks get done fine with simple methods
  2. Get the basics right with file naming and directory layering; clear and sensible is enough
  3. Create a claude.md in the base and spell out the rules clearly (global, project)
  4. Let the large model handle tagging and placement, but be clear yourself on why you use this hierarchy
  5. Learn to subtract, allow some messy parts, and lock onto the part that truly matters for clean organizing
  6. When it gets complex and hard to manage, then rethink an architecture upgrade
Q&A
Q:Which AI voice recorder should I buy , how to choose among Anker Bean, DingTalk, and ticnote
Asked by · l***
小*:Used the Anker Bean and already returned it , weak magnet that falls off easily, stingy quota. Ended up recording on my phone and transcribing with Qwen, for free
庄*:On the Anker Bean now, but watch out if you have a lot of meetings; the DingTalk one is worth considering if it's cheap , the classic case of hardware not making money and software doing the earning
E***:Emotionally I lean AI Bean, rationally it comes down to how much the platform you use matters; personally I recommend Feishu, but teams should weigh practicality , DingTalk has one more custom template than Feishu
木***:The DingTalk one seems pretty good, it can magnet onto the back of your phone
Q:For building a Bitable, which model do you all find easier to use
Asked by · 天*
木***:Dabrain works well
:None of them work well, even Feishu's own can't cut it, hahaha
万**:You're asking the wrong question , your use case is what matters most, it's not a collector's item
李祥瑞:AI assistance can already produce something deliverable, but only if you sort out the business logic cleanly first , it's not about the Bitable Agent
Q:Which large model is better for translating text
Asked by · T***
平***:deepseek
J***:Andrew Ng's prompting course was translated with deepseek v4-Pro, and the quality was decent
Skip every other group, just read this oneK*** relayed group-wide starting 18:49
185 messages 39 people 3744 characters

Community Health Analysis: Making the Data Actually Work

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A single community health chart put all 460 lurkers and nearly 200 active members on the table. The day kicked off with a gentle reminder about laws and regulations, then quickly slid into a collective celebration of community operations. Xiangrui dropped three versions of his WeChat profiling tool in a row, 门*** followed with a product vision for a Feishu RSS feed, and 周** handed over a statistics framework diagram, joking that 张小龙 would wake up grinning. From a group-newspaper skill to horizontal-vertical analysis and a deep-research prompt, all the way to a dawn brainstorm about compute base stations, the whole day spun around chasing the new.

Timeline of the day
11:24 → 13:03
Red Line Reminder 木***、李祥瑞
A friendly nudge: a content creator must mind the law

木***spoke up first, noting that some topics can't be discussed in the group, and some plugins or skills shouldn't be built. He put it lightly: you're a fairly big creator now, so mind the laws and regulations. He even added that it wasn't aimed at anyone, just a reflection after reading the previous night's chat. Xiangrui answered cheerfully, ha, absolutely, we must mind the laws and regulations. What could have turned awkward instead set the tone for the day, keeping a sense of proportion no matter how hot the chat got later.

16:27 → 16:40
Data on the Table 李祥瑞、陈**、宋**、炮
A community health chart puts lurkers and actives in plain view

Xiangrui tossed out a few charts, saying he'd built a community health analysis where everyone got tagged accordingly. He said it straight: our group is actually pretty unhealthy, only nearly 200 of about 460 people are active, and lurkers will be cleared out from time to time going forward. 陈**saw through it instantly, the methodology behind this analysis is impressive, building private-traffic ops used to mean CRM systems handling all this. 宋**added a gem, pruning is the norm, a community stays healthy only with people coming and going. 炮pulled the numbers back into perspective, nearly 50% active in a typical group of 100-plus isn't low, right?

16:45 → 16:58
In and Out 宋**、D**、李祥瑞
Could a Feishu group auto-admit and auto-remove like leveling up?

宋**thinks fast, WeChat groups are clearly a lost cause, so look into whether a Feishu group can handle automatic entry and exit, like leveling up in a game, hitting an activity threshold to move up to a higher-tier group. He pressed on how to set the standard. D** suggested trying the cli, recalling that the permission exists. Xiangrui said you can have the AI analyze whether someone's messages have quality, and use all of a person's posts as evidence for reference. 宋**named the real pain point, an organization is too embarrassed to kick out old members, so every so often it just spins up a new group, and you can barely keep track of all the group names.

17:04 → 17:14
Feishu RSS 门***、周**、小*
A product vision that drops Douyin's algorithm into a Feishu group

门*** ran the vision to the max in one breath: Feishu could let you like messages, the AI could tally likes to crown the best post, posts could accumulate into badges, and the AI could proactively @ people who follow a given topic. The more he talked the more concrete it got, Douyin's algorithmic logic could absolutely work in a Feishu group, incubating an RSS feature on top of the Feishu ecosystem, subscribing within 100 high-quality groups to a few top-tier posters like 周**, give me a daily and weekly digest, and I'd pay. He even thought of funneling the paid revenue back to the high-quality posters, plus some honors. Xiangrui cut to the core, fundamentally he's still using our vchatcli, having the large model do the analysis.

17:17 → 17:32
Framework Debate 周**、宋**、李祥瑞
Not short on data, short on analysis, so put up a framework

宋**tossed out a line, people today aren't short on data, they're short on the ability to analyze it, and on how to refine it. 周**picked it up at once, what's missing is a scientific process, how to break the limits, simplify the flow, lower the barrier, look, step one in the real world already stumps so many people, and casually dropped a statistics framework diagram, asking the other to update its definitions. He couldn't resist a jab, if 张小龙saw your records, he'd wake up grinning tonight too. Then he gave Xiangrui an idea, design an innovative mechanic where lurking time can be redeemed for something, that's more meaningful. Xiangrui replied, hey, not a bad idea, taking it.

17:41 → 17:51
Self-Management 山*、李祥瑞
Beyond the room full of experts, ordinary folks want something hands-on

山*said something grounded amid the tech frenzy, could we have more content on personal self-management, everyone needs this, once you have a framework you just plug your own content in and you've learned it, things like book management, checklists, reading notes, categorized records. He admitted the group is full of experts, very true, but those of us without magic simply can't put it into practice, citing his own 4TB of audiophile albums waiting to be sorted. Xiangrui answered without hesitation, of course we can do that. 山*thanked him, after all you only truly learn something once you've actually done it yourself.

19:05 → 19:36
Group Newspaper 李祥瑞、小*、炮、张**
Let a WeChat group print a color-ready A3 newspaper every day

Xiangrui open-sourced another skill, letting a WeChat group produce a color-printable A3 newspaper every day, the warmest form of community merch. 小*nailed it in one line, it'd be such a special birthday gift, compared to printing out chat logs, the sense of ceremony is off the charts. 炮cheered him on with the group's signature rough charm, cranking them out like a breeding sow, awesome, then added the WeChat profiling tool really is a great product. 张**jumped in to egg him on, the newspaper's out, so is the next step open-sourcing a short video of Xiangrui explaining it? Xiangrui quickly waved it off, no way, the information density is too terrifying.

23:45 → 08:58
Compute Base Stations 李祥瑞、松***、平***
From horizontal-vertical analysis to signal towers becoming compute towers

Late at night Xiangrui had the AI run a horizontal-vertical comparison of advanced teams versus lagging ones, then shared a deep-research prompt he'd used for two years and turned into a skill. Early the next morning he floated a big idea, China Telecom, Mobile, and Unicom all rolling out Token services, signal base stations might one day turn into compute base stations, a single 5G tower could become a micro data center. 松***asked how the token market value would be calculated. 平***answered with a data-plan analogy, the final price will surely go mass-market, same logic as data before, look how cheap data is now, it used to be expensive too. Xiangrui added a figure, the three major carriers have already deployed over 1.4 million edge compute nodes nationwide.

Highlights of the day
李祥瑞
Prolific Open-Sourcer
In one day dropped three versions of WeChat profiling, a group-newspaper skill, plus horizontal-vertical analysis and a deep-research prompt, truly putting community health data to work, while admitting an explainer video of himself is too information-dense to dare open-source.
门***
Product Designer
Sketched a full product blueprint for Feishu groups in one breath: likes to crown the best post, badges for posting, RSS subscriptions to high-quality posters, paid revenue funneled back, dropping Douyin's algorithmic logic right into the Feishu ecosystem.
周**
Framework Lead
Handed over a statistics framework diagram for updated definitions, fired off a scientific-process trio of breaking limits, simplifying flow, and lowering barriers, and seasoned the chat with 张小龙 waking up grinning and redeemable lurking time.
宋**
One-Liner Machine Gun
Pruning is the norm and people in and out keep it healthy, not short on data but on analysis, organizations too embarrassed to remove old members so they just spin up new groups, a few lines laying bare the real pains of community ops.
陈**
Saw Through It
Spotted at a glance that behind the community health analysis sits CRM-grade private-traffic methodology, his line about the impressive build of this analysis pinpointing the true value of Xiangrui's tool.
山*
Voice of the Everyman
Amid the group's tech revelry he spoke up for ordinary folks without magic, asking the host for more hands-on self-management content, his 4TB of audiophile albums making the need feel especially real.
Rational Cheerleader
Offered the cool counterpoint that 50% active isn't low, then piled on rough praise like cranking them out like a breeding sow and the profiling tool really is a great product, carrying both the mood and the judgment of the group.
小*
Ceremony Spotter
His line that the group newspaper makes such a special birthday gift, with a sense of ceremony far beyond printed chat logs, captured the warmest layer of meaning in this piece of community merch.
Steal this · SOP
Run Community Activity Ops with Health Analysis
李祥瑞
  1. Pull the group chat history with vchatcli
  2. Have the large model analyze each person's posting quality and tag them accordingly
  3. Tally active versus lurking members and flag those with near-zero posts
  4. Periodically clear out persistent lurkers, using all of a person's posts as reference evidence
  5. Communicate the rules clearly, preserving the group's activity and its value of mutual learning and exchange
Q&A
Q:Can a Feishu group automatically control entry and exit by activity level, like leveling up in a game?
Asked by · 宋**
D**:Feishu's bot seems able to, give the cli a try, I recall the permission exists
李祥瑞:Yes, this works, you can have the AI analyze whether someone's posts have quality, then use all of that person's posts as evidence for people to reference
People today aren't short on data, they're short on the ability to analyze it.宋*** evening of May 17
127 messages 25 people 2354 characters

Relay Stations, Static IPs, and a Group Newspaper

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The whole day hummed along a taut network wire. First Claude reset its quota again, prompting a sharp little quip about how America competes by giving away time while China competes by giving away milk-tea coupons. The talk drifted from WeChat Reading shipping a Skill to letting AI do your reading for you, got sidetracked by 天*'s hardcore job posting, and finally landed on the most real pain point of all: are relay stations trustworthy, and how do you build a proper VPN. Xiangrui pulled out a 20,000-yuan lesson learned the hard way and a 21-yuan-a-month static IP plan. Just before bed, he unveiled a new toy: the group newspaper.

Timeline of the day
09:48 → 10:14
Quota Surprise 李祥瑞、炮
Claude resets its quota again, sparking a US-vs-China take on the grind

Early in the morning Xiangrui dropped two screenshots with the line 'Claude reset its quota again yesterday, wow.' Half startled, half delighted. 炮 fielded it beautifully, quoting a friend's gem: in America the grind means giving you quota and time, in China the grind means giving you milk-tea coupons. One line captured the temperament of both rat races perfectly. News that Shanghai Telecom had launched a token pricing package also floated by in the same window, so the group opened steeped in talk of compute and quotas.

10:47 → 10:53
AI Reads For You 李祥瑞、平***、木***
WeChat Reading ships a Skill, and friends dream of letting AI read for them

Xiangrui noticed that WeChat Reading had officially shipped a Skill, and tossed out an offhand 'it'd be great if it could just read for me.' 平*** pushed back: then WeChat Reading loses its whole point, might as well rebrand it AI Reading. Xiangrui rode the wave with the day's best line: let my AI learn to read, and whatever it learns, I've learned. 木*** added a quiet 'a little scary.' Someone mentioned the low-tech trick of opening the web version inside the AI to read and analyze at the same time, and someone else flashed the renegade route of grabbing PDFs off z-library.

10:52 → 12:23
Bounty Hire 天*、丁***、庄*
天*posts five full-stack AI requirements and frets over the salary

天* pasted a hardcore wish**st: fluent with the Lark open platform and anycross, at least one vibe-coding tool, openclaw and hermes, an N8N or coze-style workflow engine, plus enterprise system integration experience. He asked what salary made sense for that bar, with the job based overseas. 丁*** fired back a flat quote: a hundred grand a month in beautiful-country currency. 庄* noted coolly that few people hit every box. 天* deadpanned 'I don't think I can fill this, I'll just leave it open,' then added that he himself met every requirement, right down to a Class-1 builder and registered electrical engineer license.

16:32 → 17:00
Open Source Heckled 李祥瑞、张*、Q***
Running an open-source community gets you heckled; friends rally to comfort

In the afternoon Xiangrui felt a little wronged: we run an open-source community and people still trash us, what a way to ruin a weekend, followed by three crying emojis. The group instantly closed ranks. 张* cut straight to it: so childish, just ignore him. Q*** chimed in too, big forest, all kinds of birds, don't mind them. The small flare of emotion dissolved quickly under everyone's reassurance, and Xiangrui went right back to posting Codex tutorials and compute-network material into the group.

20:11 → 20:14
20K Tuition 李祥瑞、平***
Xiangrui uses a 20,000-yuan lesson to talk people out of relay stations

平*** asked whether there were any relay stations worth recommending. Xiangrui was unequivocal: I don't endorse relay stations, I'm a relay-station victim, haha. Then he laid out his tuition bill: back in March he'd burned nearly 20,000 yuan on a relay station. He spelled out the catch: fine at first, but the more you spend the faster it drains, you have no idea what model is running behind it, and the metering isn't transparent. 平*** replied 'got it' and counted himself talked out of it.

22:40 → 22:52
Static IP Plan 李祥瑞、l***、R***、炮
Xiangrui shares a VPN handbook and a 21-yuan static IP plan

R*** pressed on what VPN to use, and Xiangrui dropped a VPN setup handbook PDF, saying he'd been using this all along. But he admitted the environment still wasn't clean enough for running Code, and that the Cloud Code setup was still in testing; if it held steady he'd share it in about two weeks. The crux is configuring a static IP on top of this software, just 21 yuan a month. l*** testified from experience that adding a static IP made things fairly stable, though the original setup back in the day took a week of tearful struggle. 炮 capped it: this is the only method still alive right now, purity above 90%, and Xiangrui nodded in agreement.

23:19 → 23:33
Newspaper Debut 李祥瑞、平***、l***
The daily digest levels up into a group newspaper, and friends critique the layout on the spot

Late at night Xiangrui said he'd spent his spare hours upgrading the group daily into something new, a group newspaper, and out came the Xiangrui Daily newspaper-edition PDF. He asked which everyone liked better, the newspaper version or the earlier digest. 平*** was amazed it could even recognize and pull in images, pretty impressive, but pointed out the vertical-line dividers read awkwardly and would be better dropped. l*** felt the earlier version looked better. Xiangrui took it all in and replied: sure, I'll give it a try tomorrow morning.

23:21 → 23:24
AI and Companionship ꧁***、明***、李祥瑞
A late-night reflection on whether AI really brings people back to life

A rare tender moment surfaced on the weekend night. 罗* mused that AI was supposed to cut repetitive work and bring people back to real life, more time with family, but reality seems to have flipped it: outside of work we're still messing with AI, and family time has only shrunk. 明** 王长春 answered with clarity: it's about balance, only you know what you really want. Over on his end Xiangrui was still reporting progress, saying he was wiring up WeChat Pay, Douyin Pay, and Feishu Bitable. The scale between tech and life got a gentle nudge in the dead of night.

Highlights of the day
李祥瑞
Anchor of the Day
From the thrill of a quota reset to a 20,000-yuan relay-station tuition, to unveiling the group newspaper late at night, he was both the topic-starter and the one sharing his hard-won lessons. Wounded when heckled, humble when praised, and when feedback came he took it all in with a 'I'll try it tomorrow morning.'
平***
Soul Questioner
Asking about relay stations, chasing the VPN question, nudging topics along, his thread of questions surfaced the day's most practical pain points. He even gave the group newspaper an honest critique, flagging the awkward vertical-line dividers, a genuinely attentive product tester.
One-Liner King
Opened with the brilliant metaphor of America giving time and China giving milk-tea coupons, then sealed the night by declaring static IPs the only method still alive, purity above 90%. He nails it in a line, never long-winded.
天*
Bounty Recruiter
Threw out five full-stack AI requirements and agonized over the right pay for an overseas role. He joked he couldn't fill it so he'd leave it open, then added that he himself met every requirement, right down to a Class-1 builder and registered electrical engineer license, a candor that earns a knowing smile.
l***
Been There
A living witness to the static IP plan, saying it ran fairly stable once added. His line about a week of tearful struggle setting it up back in the day captured the grind vividly and managed expectations for those who'd follow.
꧁***
Night Philosopher
Amid a sea of tech talk, he posed the warmest question of all: AI was meant to bring us back to life and family, yet reality flipped it. He pulled the group from tools back to people themselves, a rare clarity.
张*
Defense Captain
When Xiangrui was heckled, her crisp 'so childish, just ignore him' steadied the group leader's mood in an instant. No wasted words, an attitude more forceful than any consolation.
Steal this · SOP
Build a Clean Code Network Environment with a Static IP
李祥瑞 / l*** / 炮
  1. First prepare an overseas server to serve as the exit
  2. On top of your existing VPN software, configure a static IP: the entry is your node, the exit is the static IP you purchased
  3. A static IP is cheap, roughly 21 yuan a month
  4. Once the static IP is added, stability improves noticeably, with purity reaching 90% or higher
  5. Even if the network has issues, it won't risk getting your account banned
  6. The specific Cloud Code setup is still in testing and will be shared once stable; for beginners the configuration may take about a week of fiddling
Q&A
Q:Any recommended relay stations? What VPN do you use?
Asked by · 平***
李祥瑞:I don't endorse relay stations, I'm a relay-station victim, haha. Back in March I burned nearly 20,000 yuan on one. Fine at first, but the more you spend the faster it drains, and what model runs behind it and how it's metered are both opaque. I'd suggest checking the VPN setup handbook I posted: with a static IP it's just 21 yuan a month.
l***:I added a static IP, and it's been fairly stable, not pricey at all, pretty cheap.
:This feels like the only method still alive right now, purity above 90% I'd say.
Q:The newspaper edition or the earlier group digest, which is better?
Asked by · 李祥瑞
平***:It can even recognize and pull in images, pretty impressive. But the layout has a small issue: the vertical-line dividers read awkwardly, better to drop them, otherwise the newspaper version is better.
l***:The earlier one looked better to me visually.
AI was supposed to cut repetitive work and bring humans back to real life, to more time with family. But reality seems to have flipped it.꧁*** late night, May 16
505 messages 50 people 10628 characters

"Does It Sound Like AI" Is a False Question

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The day kicks off with a suspicion: 木*** writes so neatly that people wonder if it's an AI stand-in. Yet nobody actually tries to expose it, and the talk only goes deeper. From e-commerce data loops to human-AI collaboration under OPC, from voice-dictating into Doubao's keyboard to WeChat's sudden rule against links, all the way to Feishu CLI crossing ten thousand stars. A crowd that distills joy out of AI weaves tool anxiety, team friction, and questions of divinity into one densely packed day of conversation.

Timeline of the day
09:01 → 09:20
Real or AI 木***、万**、门***、R***、周**、万涂幻象
One person writes so neatly the whole group suspects an AI

木*** shares insights on e-commerce data analysis, so well-organized it hardly reads like a human. 万** speaks first: your reply kind of looks like AI, the format just feels so tidy. 门*** takes it further, come on, why don't you distill yourself and open-source it for everyone, I love your speaking style so much, I wish my AI could be like you. 周** steps in to explain, online communication should be easy for others to read, so he breaks things into 1-2-3 and A-B-C. 门光 had even messaged him privately, hand-circling screenshots until he questioned reality. 万涂幻象 sets the tone in one line, whether it sounds like AI is itself a false question.

09:13 → 10:07
E-commerce Loop 木***、q***、R***、R***
A full-stage AI loop for e-commerce data, from stats to decisions

q*** asks 木*** whether he mainly uses AI for data analysis. 木*** lays out his whole operation, from store sales data, order analysis, marketing channels, and promotion accounting to content creation, financial reconciliation, and profit analysis, including livestream performance monitoring, all already a closed loop. But he stresses that he plays it safe, never letting AI execute directly, only offering plans without acting on them, with humans reviewing AI's results before adjusting. In content creation, the main-image and detail-page design still happens in Feishu Bitable. R*** follows up, is the store data uploaded manually? 木*** replies, fully automated via RPA, built by himself.

10:14 → 10:55
Daily Report Q 李祥瑞、J***、卡*、赵***
How is the group daily report made? A wave of copycats follows

李祥瑞 drops yesterday's group daily report. J*** is first to ask, how does M*. Li make his group daily report? 李祥瑞 quips that you can tell you're not one of our loyal fans. 卡* comments, it really looks like a newspaper, just a bit small on mobile; 李祥瑞 replies he's working on mobile adaptation. 赵*** then shows off his own results, spending 3 days on Windows using WorkBuddy to generate a group report, with a small glitch in fetching avatars, synced daily to Get Notes and the IMA knowledge base for archiving. After trying the little crayfish bot, J*** grumbles, the crayfish I hooked up gives wildly unstable output quality.

12:33 → 12:48
Voice Coding 李祥瑞、q***、平***、毅、K***
Voice-dictating into Doubao's keyboard becomes a new coding posture

李祥瑞 pushes the Doubao keyboard hard, it's just so good. He says its recognition is precise, it never botches words with tone, and it can swap in the accurate term by meaning, unlike yesterday when the WeChat keyboard left a screen full of typos. I now do all my coding by talking to AI through the Doubao keyboard, it's unbelievably satisfying. K*** says he rarely talks at his desk so he can't relate; 李祥瑞 replies that talking at your desk is pretty awkward. 平*** recommends the DJI Mic Mini for speaking quietly, while 毅 champions AirPods, whose recognition is good enough without spending money. A little gear-head debate breaks out.

12:49 → 13:36
The OPC Debate 庄*、枫**、宋**、李祥瑞、l***、李**
The smoother human-AI collaboration gets, how do we safeguard the social side

庄* marvels that he just made a cup of coffee and the 7 AIs in the group had already @-ed each other through the whole workflow on their own. 枫** tosses out a zinger, OPC means no interpersonal friction, no employees poisoning the well. 李** cites Li Xiang saying OPC simply can't succeed. 李祥瑞 disagrees, in the future everyone will be a super-individual, a person plus AI, and on his own he's far more efficient than last year's team. 宋** pushes the topic further out, as people grow less willing to socialize and individual capability keeps rising under AI, will divinity be born? He defines divinity as carrying a compassionate undertone, unable to communicate with most people yet still holding the world at heart.

13:16 → 13:36
Spoon-Fed 李祥瑞、宋**、l***、Q***
You spoon-feed him the course, but if he won't learn, what can you do

李祥瑞 tells a story about a friend who wanted to build Vantasma together but had a weak foundation, so he told him to watch the Feishu Bitable course; but I spoon-fed him the course right to his mouth and he still wouldn't learn, so you just have to let him go. 宋** picks it up from an educator's view, people in basic education know some kids are hard to teach yet still must teach them, thinking one step ahead, the templates are all there, it's up to you. Q*** adds a jab, he gave classmates a template for grading essays, a computer novice who, after the demo, couldn't even find the link the second time. 李祥瑞 lands on letting things take their course, and 宋** closes it, with goodwill, things fall into place naturally.

16:15 → 16:41
Link Ban Alert 李祥瑞、庄*、万**、N***、木***
WeChat suddenly bans links and QR codes, tutorial-style posts panic

万** says using the CLI got him throttled, worried that fetching avatars is being monitored by WeChat; 李祥瑞 repeatedly explains that the CLI only triggers parsing of local data, which WeChat can't detect. Then 李祥瑞 drops a bigger bombshell, from now on never put links or any QR-code images in WeChat articles, not in the comments either, and even text guidance is off-limits. 庄* fires off one 'holy crap' after another, so tutorial posts can't include links anymore. 木*** thought it was never allowed; 李祥瑞 corrects him, it used to be allowed, WeChat was the most lenient platform. 庄*'s line, guess they're learning from Xiaohongshu now, stamps a seal on this link-ban alert.

17:38 → 18:09
Send As Yourself 赵***、李祥瑞、q***
Letting an Agent send messages in your own name, and the line between internal and external groups

赵*** asks how to make an Agent send messages in his own name, since Feishu keeps telling him the request is illegal. 李祥瑞 breaks it down, you can't send in external groups, unless the external group has a Feishu CLI crayfish-type agent that you built, while internal groups let you send directly as yourself. q*** goes the other way, she doesn't want her own name, specifically insisting it must send under the BOT's name, don't go sending messages in my name. After a few rounds 赵*** confirms by testing, external contacts can't be messaged directly, but @-ing them within the same group can send as the user himself, and colleagues see you, not a robot.

Highlights of the day
木***
The Human Mistaken for AI
The moment he speaks he pulls the whole group into the deep end of e-commerce data analysis, so smoothly organized that he's suspected of being an AI stand-in. From stats to decisions to RPA automation, a full-stage closed loop, yet he insists on human review and won't let AI execute, refreshingly cautious.
李祥瑞
Host of the Day
The hub of the day. Showing off the group daily report, pushing the Doubao keyboard, telling the spoon-fed-course story, warning about WeChat's link ban, and breaking down the logic of internal vs. external messaging via Feishu CLI. His line, in the future everyone will be a super-individual, is his footnote on OPC.
宋**
The One Who Asks About Divinity
He lifts a tool topic clean up to philosophical heights. As human-AI collaboration grows stronger, will divinity be born? He gives a definition carrying a compassionate undertone. Then from a basic educator's view, you teach even those you know are hard to teach, and with goodwill things fall into place.
枫**
Master of Zingers
OPC means no interpersonal friction, no employees poisoning the well. Two lines that pinpoint the group's collective resentment toward team collaboration. He also casually answers the question that OPC policy isn't limited to the AI industry, hardcore tech works too.
赵***
Hands-On Doer
Spent 3 days on Windows replicating the group report, then wrestled with the pitfall of getting an Agent to send in his own name. From 'request illegal' to a working test run, he personally mapped the sending boundary between external contacts and internal colleagues.
q***
Comparative Observer
Exporting the group daily report at the same 5:14, hers and Xiangrui's came out different, revealing the divergence in how each AI judges things. Her line, we don't want it producing homogenized stuff either, captures this crowd's underlying consensus about playing with tools.
庄*
Master of Reactions
Just made a cup of coffee and the 7 AIs in the group had already @-ed each other through the whole workflow, bringing the thrill of human-AI collaboration to life. Later his rapid-fire 'holy crap' at WeChat's link ban, plus 'guess they're learning from Xiaohongshu,' made him the best-timed heckler of the day.
门***
Distillation Fanatic
Can't stop thinking about 木***'s speaking style, either you distill yourself and open-source it, or I'll distill you myself. He also notices that the AI crowd is all into writing personal usage manuals, the last three people I added all have one, so I'd better learn too.
Steal this · SOP
How to Build an AI Loop for E-commerce Data Analysis
木***
  1. First, compile the data on store sales, orders, marketing channels, and promotion accounting
  2. Use fully automated RPA to upload the data into Feishu Bitable, no need to hire people
  3. Hand the compiled data to AI for whatever analysis you need
  4. Let AI give you results and plans, but don't let AI execute directly
  5. Have humans review AI's results, then execute and adjust, then analyze and plan again, forming a closed loop
Getting a Feishu Agent to Send Messages in Your Own Name
赵***
  1. Internal groups let you send directly as yourself, and you can also message contacts
  2. External contacts can't be messaged directly
  3. But @-ing an external contact to send within the same group does work
  4. Once sent as the user himself, colleagues see you, not a robot
  5. If you don't want it sent in your name, explicitly instruct the agent to use the BOT's name
Q&A
Q:How do you get around the phone-number verification for Codex?
Asked by · 欧*
枫**:Use an iPhone's fingerprint verification instead, it should be able to trigger fingerprint verification
:An SMS-code receiving service
小*:Buy a ready-made account, I've used one for a year without it getting banned, just go with a reliable vendor
Q:What's the current OPC policy like? Do you have to be in an AI-related industry to apply?
Asked by · 余*
枫**:Not required, hardcore tech also works, it depends on the city, looking at out-of-town policies isn't very meaningful maybe
Q:Any recommendations for VPNs and how to buy them?
Asked by · E***
刚*:120 yuan for 1000GB with no time limit, Clash, I've used it for a week at light intensity so I can't really tell
Whether it sounds like AI is itself a false questionV*** 9:17 AM, 2026-05-15
351 messages 38 people 7131 characters

The Night of the First Livestream, and a Three-Day Install Finally Won

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Someone was still setting up their machine in the small hours, and late at night the group host ran the very first livestream. Two threads tangled together in the chat that day: on one side, the old familiar headaches of Feishu Bitable, how to show update time on a dashboard, why an external-group bot just wouldn't join, one buried pitfall dug up after another; on the other, everyone wrestling with the sweet-and-sour of installing WeChat CLI, CC, and Codex environments. q*** spent three full days and finally nailed it, 醒* fell into the traps and climbed back out, and 木*** showed off an AI pipeline that had run rock-steady for nine months. The late-night debate over whether AI is ultimately deterministic or not was the richest of all.

Timeline of the day
10:09 → 12:17
Dashboard Riddle 陈**、宋**
How to make a dashboard show the full update time

陈**threw out a concrete problem: he wanted to put the update time onto a dashboard, but the date format got cut off on mobile, and trying a word cloud to show the time wasn't great either. 宋**first guessed it might be a countdown and floated a screenshot to test the idea, but got shot down. Back and forth, the two of them teased out the essence: a dashboard is Feishu's data-visualization layer, weak at displaying text by nature, strong at showing data update in real time. 宋**suggested setting up a slicer query to display the whole record. 陈**finally got it, just build a table that shows this one record, then go back and check how it looks on mobile. One small need, ground down into an understanding of the tool's boundaries.

10:09 → 10:22
Bazi Misfire 钟*、木***
What to do when a fortune-telling skill gets the bazi chart wrong

钟*said that testing a fortune-telling skill the day before, it laid out the bazi chart wrong, and only after correcting it did the analysis rerun, asking whether this is a universal AI flaw. 木***pointed the way straight off: first check which model is in use; if the base knowledge bank is fine, then it's the model that's no good, and getting the bazi chart itself wrong means the model or knowledge bank isn't up to scratch. 钟*said Gemini did the same thing before, though the follow-up analysis turned out quite good. Someone offered a tip: just lay out the chart in a Zi Wei Dou Shu app, then copy it over to the AI. 钟*nodded and did exactly that afterward. The jobs AI isn't good at, hand off to a dedicated tool to compute first.

12:34 → 13:36
Newbie's Gauntlet q***、醒*、李祥瑞、平***
vchat won't finish installing, stuck on SIP permissions

q*** had sorted out downloading vchat from a GitHub mirror site, but the install still failed, so she called for help in the group. 李祥瑞suggested quitting WeChat and logging back in. 醒*pointed out that there actually was an error she'd missed, that every Mac has different permissions, and that you have to read the AI's prompts. 平***said it worked first try, ran straight through the moment the password went in. q*** screenshotted and asked the AI, was told it was an SIP permission issue, and joked about how getting one skill running takes so many weird maneuvers. Reboot into a black screen, can't see step two, she felt her way through it all. 醒*teased her to let the host remote in, treat him to a cup of milk tea. A rookie's install, live, with the whole group watching.

17:26 → 18:01
Bot Joins the Group 醒*、Q***、P***
Why a self-built bot can't join an external group

醒*wanted to add a bot to her own group, but Feishu Bitable automation kept failing validation and wouldn't save. 李祥瑞cut to it: without admin rights on an external group, the bot just can't join. Q***said it used to work and now doesn't, Feishu shut this off, probably patched it after spotting a bug. He's a premium member himself with 500,000 calls a month, had meant to build client interactions this way, and now it's off the table. P*** gave the key verdict: the moment there's anyone in the group who's outside the org, it won't work, and his current method is a WPS Bitable plus webhook push. 醒*ended up getting it running with a single-person group first, and wrote up the whole pitfall.

19:57 → 21:53
Premiere Night 李祥瑞、卡*、张*、醒*
Vantasma's first livestream

A little past seven in the evening, 李祥瑞sent out the meeting invite and the first livestream kicked off: a three-tier cascading administrative-region picker in Feishu Bitable, plus a tour of the community's open-source knowledge base. That afternoon someone had teased the host about going head-to-head with the fortune master tonight, and 宋**predicted the turnout would be half of the master's class. Past nine the stream wrapped, and 李祥瑞said the first one was actually a great success, thanking everyone who showed up. 卡*said after playing with Feishu this long, he still got a lot out of the stream. 张*nailed it in a line: a livestream still has that human, alive feel. 醒*praised the payment logic as flawless, more professional than some programmers. A debut, landed steady.

22:48 → 22:57
AI Determinism q***、卡*、李祥瑞
Feed the same chat to different AIs, will the results match

q*** had a sudden thought: feed today's group chat to different AIs, would you get exactly the same result. 李祥瑞answered clearly: the source data is the same, but what gets analyzed out isn't necessarily so. 卡*picked it up beautifully, AI is like people, given the same material it has its own thinking each time, so it suits qualitative analysis, not quantitative, the underbelly is the logic of probability and statistics. q*** tossed out the Baader-Meinhof effect as an analogy, asking whether an AI's focus shifts from one person to the next. 卡*closed with a gem: AI's emergence is still a black box to humans, learning and using it both demand hands-on practice, you can't grasp it from theory alone. A late-night philosophy class.

00:04 → 07:45
Three-Day Win q***、B***、宋**、张*
Three days and the WeChat CLI is finally installed

Just after midnight q*** announced: Xiangrui's WeChat CLI, I've got the whole thing installed, took three days. B***and K*** sent applause. In the morning she recapped those three days: it wasn't pure deadlock, GitHub just wouldn't connect, switching networks didn't fix it, stuck for a day and a half, then at noon she got the nudge to let CC find a way, CC offered three options recommending a mirror site, and the wall finally broke. After that came clearing all the permissions, the SIP permission needing a reboot into a black screen, and one time she couldn't even see step two, with CC handing her the path to feel her way along. 宋**was happy for her, calling it the joy of growth. 张*read it all and quietly resolved: three days to install, huh, then I'd better have some patience.

08:09 → 08:58
Nine-Month Marathon 木***、R***、醒*、周**
Showing off an AI workflow that has run steady for nine months

The morning rush hour buzzed in the group, 木***showed off his own AI tools, saying they're not as magical as the Douyin influencers hype, but they've run steady for nearly nine months, with repetitive work gradually handed over to AI. He coached R***: Feishu cards look better than random formats, iterated step by step out of ugliness. R*** said her work log is now fully automated. 醒*dropped a gem: don't let your own job and industry box you in, excellent people love to learn everything. 卡*added a jab, the core skill of working with AI is communication and management. 周**saw the value clean through: draw clear boundaries for industry roles and positions, keep updating, hugely valuable. To close, 宋**proposed a meetup somewhere near Beijing, and the host said come to Yizhuang, there's a venue here.

Highlights of the day
q***
Three-Day Install Champ
From GitHub refusing to connect to a black screen on SIP permissions, stuck for three days and finally got the WeChat CLI installed. Never gave up the whole way, broke the deadlock with CC's nudge toward a mirror site, still tinkering and still probing AI determinism deep into the night, turning a newbie's gauntlet into an inspirational serial for the whole group.
卡*
Gem-Drop King
That late-night AI debate rested on him. AI suits the qualitative, not the quantitative; emergence is still a black box to humans; the core of working with AI is communication and management, one line after another holding firm. In the livestream his praise was genuine too, after playing with Feishu this long he could still learn something.
木***
Hands-On Veteran
Showed off an AI workflow that's run steady for nine months, neither deifying nor dismissing it. Walked R*** through using Feishu cards and the craft of iterating from ugly to good-looking, and pointed the external-group bot puzzle toward the solid path of webhooks. The pragmatist's standard-bearer.
醒*
Pitfall Evangelist
Fell into the trap of adding a bot to an external group today, climbed out herself and wrote it up as notes. A string of gems: don't let your industry box you in; with AI there's no shortcut but to use it more and feel it out; excellent people love to learn everything. Slow-cooked every pitfall into insight.
李祥瑞
Premiere Host
Ran Vantasma's first livestream, a three-tier cascading administrative-region picker plus a knowledge-base tour, praised as more professional than a programmer. By day he fielded questions on the WeChat CLI and external-group permissions, by night still chatting AI determinism, one line about Trump leaving and it being time to go global pointing to a new wind.
Q***
Permissions Archaeologist
On external-group bots he has the most standing, having lived through the whole arc from working to being walled off by Feishu. A premium member with 500,000 calls, he'd meant to build client interactions, then the policy changed. Laid out that whole permissions shift crystal clear.
陈**
Stickler Question King
First thing in the morning he threw out the concrete puzzle of showing update time on a dashboard, led astray by guess after guess but never letting go, spelling out the need step by step. In the end he figured out for himself to display the whole record in a table, grinding one small problem into an understanding of the tool's boundaries.
宋**
Warm Meetup Organizer
By day he helped 陈**hash out the dashboard, predicted the livestream turnout, and teased the host about dueling the fortune master. In the end he proposed a meetup near Beijing, pitching it as no-pressure and no banquet, no time to organize it himself but plenty of enthusiasm to join. The vibe-keeper.
Steal this · SOP
How to break the deadlock when GitHub won't connect during install
q*** + CC
  1. When GitHub won't connect, don't grind away switching networks first
  2. Let CC find a way, it'll offer several options
  3. Prioritize option one: download from a mirror site
  4. If you hit a permission error while installing, read the AI's prompts carefully
  5. SIP permissions require rebooting into recovery mode, feel your way through step by step along the path CC gives you
  6. Keep WeChat logged in; if the install fails, quit WeChat and log back in first
Workaround when a bot can't be added to an external group
P*** + 木***
  1. Confirm whether anyone in the group is outside the org; if so, a self-built app can't be added
  2. Give up on getting an enterprise self-built app into an external group, officially walled off for security
  3. Switch to WPS Bitable + webhook push for one-way display
  4. Or let the AI send messages as a real user, but the failure rate is high
  5. The solid first choice is a webhook; for internal groups you can add the bot directly
Get AI pushes turned into good-looking Feishu cards
木***
  1. Ordinary chat can't be wrapped in card format, only summary-type tasks can
  2. When asking the AI to summarize, specify output in Feishu card format
  3. Lock down one format template to avoid randomness each time
  4. Accept the iteration from ugly to good-looking, polished step by step over nine months
Q&A
Q:An external group can't add a self-built agent, how was it finally solved?
Asked by · 门***
木***:Only a webhook works. There's also a way to have the AI try sending messages as some real account, but it's not guaranteed in external groups, definitely fine in internal ones; the solid method is a webhook.
卡*:Feishu's bot can't post into external groups, officials said so, for security.
:The failure rate is fairly high, only a webhook is solid.
P***:It's a permissions issue, the moment there's anyone in the group outside the org you can't use it. My current method is a WPS Bitable webhook push.
Q:Feed the same chat log to different AIs, will the analysis results be the same?
Asked by · q***
李祥瑞:The WeChat-record source you pull through the AI is the same, but if you have the AI analyze that chat log, something different may come out, not necessarily the same.
卡*:Broadly the same, but the angle of approach may differ a bit, and the high**ghts surfaced will differ too. It depends on the variance in your data: if it clearly points to one trend conclusion, it's roughly the same; if it can be analyzed any which way, then the entry point differs each time. AI's underlying logic is the logic of probability and statistics.
AI, precisely because it has uncertainty, is like a person, and that's exactly why it needs communication.卡** morning of May 15
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The Tug-of-War Between Persona Profiling and Privacy

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A screenshot of a relationship map of the group's members set off a full day of brainstorming. 万** said the group owner's daily report inspired him to distill chat logs into persona profiles; 炮 and 门*** instantly spotted the sales-playbook business angle, while 宋** thought of screening parent committees in school groups. Beneath the buzz lurked worry: could WeChat send a legal notice, does this brush against the data security law? In the afternoon Xiangrui open-sourced a fortune-telling skill, and new-Chinese-style scroll destiny books flooded the screen. Late at night the talk drifted to AI and the next generation, and AI feeling its way across the river by holding onto humans; in the small hours Xiangrui floated the plan for his very first livestream.

Timeline of the day
09:15 → 09:21
Profiling Works 万**、李祥瑞、l***、庄*
vchat distills chat logs into persona profiles, and the logic runs

万**drops two images and says the logic already works: turning chat logs into persona profiles. He admits he started yesterday morning, used data from the day before, randomly grabbed the two most talkative members of the group, and warns that scarce data introduces bias. l*** presses on how he pulled it off. 庄* rides the momentum with a bigger play: build a full relationship map of the group's members, a killer tool for community ops. 李祥瑞 picks it up, saying you could analyze contacts this way and map out the relationships of many groups. 万** says it was the group owner's daily report that sparked the idea in the first place.

09:24 → 09:43
Will a Notice Come 李祥瑞、炮、庄*、张*、w***
Personal use is fine, promotion is risky, the shadow of Nanshan's undefeated lawyers

赵禹轩asks whether it could work on enterprise WeChat groups; 李祥瑞 says it's possible in theory, but vchat only parses WeChat's local data. h** worries about the impact on WeChat, and 庄* explains it only reads local chat logs, so there's no impact. 炮 adds a jab: large-scale use might invite intervention, but using it yourself is fine. 李祥瑞 names the real risk: last year that other WeChat tool also only parsed local data, and it still got a notice from WeChat, so he suggests everyone back things up. q*** coolly notes that Nanshan's undefeated litigators are no joke. 张* follows up that even Get Notes got served. 万**'s stance is grounded: use it yourself, use it quietly, don't make noise.

09:32 → 09:47
A Must-Have for Sales 宋**、万**、炮、门***
Profiling people through conversation, from sales to educational psychology

宋**opens up the possibilities: school groups could screen parent committees, and student groups could match each kid with a historical figure as a role model for positive suggestion. 万** settles it: the biggest scenario is still sales, drafting communication strategy in advance. What used to rely on gut memory can now get an AI assist, and at its core it's profiling people through dialogue, branching into psychological counseling, growth education, and sales communication. 宋** immediately calls out for a playbook and a co-creation. 门*** recalls the era of large-class online education, when every leader wrote scripts for their team, profiling the parents and then designing agent scripts, absolutely brilliant.

09:47 → 10:11
The Data Security Question 李祥瑞、门***、宋**、枫**
Do Feishu and DingTalk's scraping permissions break the law more than WeChat?

李祥瑞raises a puzzle: WeChat talks about privacy and data security, yet Feishu and DingTalk in some ways also brush against the data security law. He gives an example: with a company doc someone sent over, the Feishu CLI can scrape the entire knowledge base. Even scarier, 龙虾 created a document and somehow he was already listed as an admin, despite having no contact and no mutual friends, so what if confidential data leaked through a misstep? 门*** cuts to it: you don't have to use it if you don't tap agree on the user agreement, and informed consent isn't there to protect the user, it's a pass for the platform. The topic stretches to distilling a person, and 枫** says that turns a person into a parameter of a prompt, not the prompt itself.

11:46 → 12:22
A Little Viral Hit 李祥瑞、q***、R***
WeChat group-chat summaries go live, and the article title lands right on cue

WeChat's one-tap group-chat summary feature goes live, and R*** screenshots it saying it's monitoring me. 李祥瑞 explains it's an official rollout pushed to everyone, so it's the same for all. He sharply judges that yesterday's article could go a little viral today, because group-chat summaries happen to be out, the article's title hit the keyword, and plenty of state media are pushing it too. q*** simply yells go viral. 李祥瑞 then plugs the Mac version of the Doubao input method just launched, calling it the age of speak-and-it-happens, says he uses it for his own vibe coding, and it's genuinely a blast.

12:56 → 19:39
Fortune-Telling Open-Sourced 李祥瑞、R***、平***、l***、J***
The fortune-telling skill goes open source, a new-Chinese-style scroll destiny book

李祥瑞shows off the results of his fortune-telling analysis skill. R*** teases that they're all Chinese characters yet she can't understand a thing, and 李祥瑞 laughs that that's exactly the effect he wanted. In the afternoon he formally open-sources it: tell your Agent one line and it installs, producing your own eight-chapter destiny book as a new-Chinese-style scroll. 平*** installs it in seconds, l*** cheers for the treasure-trove group owner and goes to try it too, and J*** plays with it and says it's kind of fun. B*** rates it more professional than 90% of the rest. q*** can't install it without a VPN, and after some wrangling finds that today it actually works.

21:16 → 21:37
AI Keeps a Diary 李祥瑞、q***、l***、郑**、门***
Getting an AI to keep a daily diary, until it starts complaining about me

李祥瑞shares how he got his AI into the habit of keeping a diary, and over time it started complaining about me. q*** and l*** are both puzzled: once you close the terminal window the conversation is gone, so how does it remember? 李祥瑞 hands over the trick: the /resume command brings back your chat history. 郑** asks how to keep Claude Code stable and avoid bans, and 李祥瑞 says he's still testing, has used it steadily for a month, and will share once another two weeks of testing checks out. He describes how this setup already lets the AI proactively solve problems it hits, debrief itself, and crystallize that into SOPs and skills. 门*** adds his own approach: drop the AI into the group to discuss problems, bring it along, and let it summarize on its own at night.

21:34 → 08:46
Livestream Teaser 李祥瑞、万**、枫**、门***、周**
AI feeling its way across the river by holding onto humans, and plotting the first livestream

李祥瑞reveals that a complex Feishu integration-platform project he took on was built entirely by AI: all 5 workflows running, the multidimensional tables wired into the integration platform, and the project nearing final delivery. Deep into the night the topic drifts to AI and the next generation. 门*** says AI-native kids instinctively know how to use it and how to guard against it, 宋** muses that to AI, humans move as slowly as rocks do to us, and 周** riffs that AI is feeling its way across the river by holding onto humans, and this rock isn't cheap. In the small hours 李祥瑞 floats the plan for his first livestream and gathers ideas; by early morning he sets the tone: with nearly 50,000 people, the community needs no brand intro from scratch, and he'd rather run hands-on co-learning like waytoagi, so everyone can walk away with something they can copy directly.

Highlights of the day
万**
Idea Igniter
Inspired by the group owner's daily report, he distilled chat logs into persona profiles and got the logic working, lighting up the whole day's discussion. He candidly admitted he only used glm5.1 and that the day-before data was biased, holding nothing back. His line, use it yourself, use it quietly, don't make noise, nails the predicament of tools like this.
李祥瑞
All-Day Throughline
By day he judged the article could go a little viral, in the afternoon he open-sourced the fortune-telling skill and triggered a screen-flooding frenzy, in the evening he shared AI diary-keeping and recovering memory with /resume, and in the small hours he floated the first livestream plan. He also raised the sharp question of whether Feishu scraping brushes against the data security law.
门***
Quotable One-Liners
Informed consent isn't there to protect the user, it's a pass for the platform. Recalling the old days of scripting in online education, he saw clean through the commercial value of AI profiling, and late at night offered the counterintuitive take that AI-native kids are like mountain-road children who know how to live alongside animals.
宋**
Topic Engine
From screening parent committees in school groups to matching student groups with historical figures as role models, he kept extending where the profiling tool could go. When nobody started a topic at night he shared AI-assisted reading gems and the hunting/reverse-inference methods himself, an undisputed live wire.
Business Instinct
He spotted the sales scenario immediately: once packaged, some sales firms would want it, with AI maintaining user profiles plus an LLM generating strategy. His line, I'd kneel and call the penguin daddy to become one of the workhorses, captures the bitter, funny helplessness of compliance.
周**
Wordplay Genius
Borrowing 宋**'s reading gems, he floated a graphical reading-value system. Late at night he flipped feeling your way across the river by the stones into AI feeling its way across the river by holding onto humans, adding that this rock isn't cheap, and by early morning he sketched 李祥瑞 a small-to-big, serializable content roadmap.
q***
Never Gives Up
Her line that Nanshan's undefeated litigators are no joke pinpointed the risk. Without a VPN she stubbornly kept trying to install the fortune-telling skill, sent CC to others who couldn't install it, and when she tried again it suddenly worked today; her never-quit spirit is quite representative.
枫**
Calm Clarity
Distilling a person turns them into a parameter of a prompt, not the prompt itself, a single line that clears up the concept. Her capitalist, I'm just a Trisolaran comeback was precise and darkly funny, and when 宋** wandered into rural topics, her remark that other groups would be a more fitting place to discuss it reined things in just in time.
Steal this · SOP
Three Core Methods for AI-Assisted Reading
宋**
  1. Hunting method, read with a question: like going into the mountains to hunt, read with a question in mind, stop once you catch the key point, don't fixate on finishing the whole book, reading is about finding answers
  2. Hunting method, precise hunt: ask the AI, if I want to solve such-and-such problem, what are the views in this book most worth citing
  3. Reverse-inference method, AI interrogates your thinking: have the AI play coach and use Socratic questioning, relentlessly asking why, what's the basis, where are the holes
Getting CC to Remember Conversations and Keep a Diary
李祥瑞
  1. Each time you open or close the terminal, use the /resume command to recover your previous chat history, and you can find it even with several terminals open at once
  2. Get the AI into the habit of keeping a diary, recording the things it genuinely experiences
  3. When it hits a problem, let the AI proactively figure out a solution, then debrief itself afterward, crystallizing it into an SOP and then into a skill, so the same kind of problem never comes up again
Q&A
Q:Will parsing WeChat's local data with vchat get your account banned or trigger a legal notice?
Asked by · w***
李祥瑞:No, but there's some risk; last year that other WeChat tool also only parsed local data and still got a notice from WeChat, so everyone can back things up
庄*:He's reading the chat logs WeChat stores locally, so no impact; but the moment it can auto-send WeChat messages directly, they'll probably step in
:Large-scale WeChat use might invite intervention, using it yourself is fine; personal WeChat is a no-go, enterprise WeChat is okay
万**:Use it yourself, use it quietly, don't make noise
Q:Once I close the terminal window the conversation is gone, so how do I keep CC's memory so it can write my diary?
Asked by · q***
李祥瑞:Use the /resume command and you can see the chat history; you can find it even with four terminals open at once
门***:Drop it into the group to discuss problems, bring it along, and let it summarize on its own at night
Treat AI as a crutch and you'll only get weaker; treat AI as a coach and you'll only get stronger.a gem shared by 宋*** 19:16
307 messages 46 people 5486 characters

Open-Source Night for the Local WeChat Data CLI

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The loudest open-source moment of the day landed at 8:30 in the evening. Xiangrui dropped the vchat CLI into the group, where a single sentence lets an agent install it automatically and decrypt your local WeChat data. From the morning grumbling about WeChat status pushing visitor logs, to a hardcore midday exchange on porting Huawei's LTC methodology onto Feishu Bitable, to a fortune-telling skill that sparked a debate between mysticism and science, the day finally ended with a flood of "I got it running." Chasing the new tech, methodology, squeezing every freebie, and 薛*'s blessing about blooming late, all crammed into a single day.

Timeline of the day
09:05 → 09:29
The New-Chasing Debate 李祥瑞、枫**、平***、周**、李**
WeChat status pushing visitor logs sparks a new paradigm: humans work by day, AI works by night

At nine in the morning Xiangrui tossed out a line, having heard WeChat status was about to push visitor logs. 平*** fired back fast and sharp, first joking it was turning into QQ, then quipping that the next step would be a homepage 'like' showdown. 枫** added that after public protest, the official line was footprints only, no name lists. The topic was soon steered back to business by 周**, who distilled the group owner's schedule into the phrase 'make money by day, build AI skills by night,' calling for a dedicated session on it. 李** followed with a very practical question: developers set clear tasks by day, let AI do long-horizon coding by night, and check the results the next day, so how should that workflow be designed? 周** capped it with 'sent at dawn, arrives by dusk,' folding in the China-US time difference too.

09:59 → 11:05
The Recording Standoff q***、宋**、李祥瑞、木***
Feishu auto-generates minutes while you watch and record, going head to head with Get Note tracking creators directly

q*** was fiddling inside Feishu, seeing only upload and audio recording options and stuck on how to open a link. 宋** offered a low-tech trick: start recording, then play the video, so Feishu listens along as you watch and auto-produces smart minutes once it ends. He noted this suits knowledge-driven companies, with minutes settling into a database for others to pull from. q*** asked whether it needed two phones, one to play and one to record, only to be waved off by Xiangrui's 'that's too much hassle.' Xiangrui threw out an easier route, using Get Note to analyze a Douyin link directly, and 木*** chimed in that Doubao extracts it even more conveniently. 宋** didn't fight to win, leaving behind a line: sharing multiplies wisdom, what you can do yourself you should help more people do too.

11:02 → 11:13
Probing the Mystical 悉*、P***、李祥瑞
A fortune-telling skill opens a debate on AI grounding mysticism in science

The night before, Xiangrui had AI distill himself and built a fortune-telling skill, and the moment the topic surfaced, people picked it up. 悉* recommended the book 'The Quest for Destiny,' arguing that AI learning is exactly about grounding mysticism in science, then adding, or perhaps it is itself a kind of science. P*** wasn't buying it, pointing out that the clearest hallmark of modern science is falsifiability, the conditions under which it fails, whereas mysticism offers only vague claims that can't be verified at all. One side wanting to find a place for mysticism through science, the other drawing a hard line with falsifiability, a few sentences set this old debate squarely on the table.

12:08 → 12:42
Hardcore Knowledge Hunt 李祥瑞、D***
Can Huawei's LTC methodology be ported onto Feishu Bitable

Xiangrui asked whether any friend knew about Huawei's LTC, hoping to turn the framework into a Feishu Bitable case. D***caught it instantly, lead to cash, and laid down his cards: the earlier LTC consulting for Huayou Cobalt was done by his team. The two talked shop, with Duke judging that Huawei's approach fits manufacturing in high-tech fields, what Feishu calls advanced manufacturing. On Feishu Project, Xiangrui shook his head: too expensive, the Feishu suite itself is already pricey and unfriendly to small and medium businesses. He likened it to a bowl of noodles, where in downtown Shanghai people still pay a few hundred. Duke wrapped up the hunt with a line: a small boat turns around easily.

12:43 → 12:56
The Group Wiki Idea 李祥瑞、侯***、枫**
Distilling the group's tech discussions into a knowledge base, with a watermark side-episode about ads

Xiangrui got an idea: the new tech and new solutions discussed in the group could be turned into something like a group wiki, all searchable, and showed off his own wiki knowledge base. Right after, 侯*** shared an embodied-intelligence whitepaper PDF. Xiangrui reminded her to withdraw it if it was promotional, and 侯*** clarified it wasn't promotion but pure sharing, all official third-party reports. After spotting some junk watermarks slipped into the file, she said she'd already stripped them out and thanked him for the heads-up. 枫** piped in that this kind of thing happens far too often, reinstalling Acrobat just to delete them by hand. 侯***'s line, looks like everyone's long suffered under ads, struck a chord with the room.

18:09 → 19:10
Reading the Hexagram in Verse 周**、薛*、李祥瑞
The fortune-telling result read through a modern lens and a Wang Wei poem, landing on a blessing about blooming late

The fortune-telling skill's result drew a serious round of close reading. 周** offered three interpretations: the first two through a modern lens, the Pareto 80/20 rule and building process and SOPs, the third answered with Wang Wei's lines from 'My Retreat at Mount Zhongnan': walk to where the water ends, then sit and watch the clouds rise. 薛* felt the summary was very precise but thought the third didn't quite match reality, and that gathering this many people together is already a remarkable feat. 周** invited him to share his view, and 薛* read the third line as blooming late, saying that at least at the group owner's same age he hadn't had such a clear plan, nor had he distilled what he'd learned into a course. 周** ran with it and split it into TOB blooming late and TOC one-wave-and-done, landing on the group owner's own choice of trade-offs.

20:28 → 21:09
Open-Source Moment 李祥瑞、炮、E***、程**、平***
The vchat CLI that decrypts local WeChat data goes open source, one sentence hands it to your agent for auto-install

At 8:30 in the evening, Xiangrui dropped the local-WeChat-data CLI into the group, just hand one sentence to your agent and it installs it for you, clone, install dependencies, then sudo setup and it runs. The group lit up. 炮 cheered that open source is the most beautiful phrase in the world, pure praise, while E*** said the group shared with his colleagues was nearing 300-plus, and Y** pointed out it's a hard requirement for businesses. Xiangrui kept asking whether anyone had gotten it running, feed me back if there are issues and I'll optimize. In between, 程** jumped in on image-recognition models, noting an A6 answer sheet alone eats 6000 tokens, and the only ones that currently recognize it accurately are Qwen, Kimi, and Gemini. 平*** pressed on whether you could decrypt historical data without logging in, getting Xiangrui's reply that it should be possible but the CLI relies on a logged-in session.

22:32 → 23:34
Screens Flooded with Success 李祥瑞、黄*、陈**、炮、杨**
The group-daily skill debuts, distill yourself for cyber-immortality, a wave of success reports

Late at night Xiangrui pulled out yet another piece, a WeChat group-daily skill built in two days that turns a day of chat into a magazine-style long image, eight time-based story segments plus real avatars plus SOPs plus Q&A, not a dashboard but the kind you can actually read start to finish. 黄* kept asking what he used to lay it out so beautifully, and on hearing it was also a skill, blurted out how impressive. Xiangrui mentioned offhand that his public-account writing now ships within an hour. 陈** said he ran it too and got his result, praising how detailed the tutorial is, super friendly to AI. Xiangrui urged everyone to put it to use, distill yourself with the vchat CLI, and 炮 caught it neatly, distill yourself for cyber-immortality. There were crashes too: 杨**'s 'oh my goodness, my Claude refused to install it,' and Seele suggested switching to a weaker model and asking Haiku.

Highlights of the day
李祥瑞
Open-Source Lead
Dropped three things in one day: the fortune-telling skill, the vchat WeChat-data CLI, and the group-daily skill. His design of letting one sentence auto-install via an agent pushed the open-source barrier to the floor, and he chased everyone all the way through, asking if they got it running, with 'feed me back if there are issues and I'll optimize.'
周**
The Distiller
The day's connective thread. From the phrase 'make money by day, build AI skills by night,' to the 'sent at dawn, arrives by dusk' time-difference, to reading the fortune-telling hexagram through a Wang Wei poem and TOB blooming late, he always steered idle chat into something worthwhile.
D***
Industry Veteran
The moment Huawei's LTC came up he caught it, flashing his Huayou Cobalt consulting credentials and judging the framework fit for advanced manufacturing. His line, a small boat turns around easily, set the tone for SMEs needing to go deep.
薛*
The Quote-Coiner
He didn't take the third fortune-telling reading at face value, offering the blooming-late interpretation and candidly admitting that at the group owner's age he hadn't had such a clear plan, nor distilled what he'd learned into a course. 'Gathering this many people together is already a remarkable feat' was the day's warmest line.
宋**
Method Sharer
His low-tech trick of watching a video while Feishu records and auto-produces minutes, he explained it clearly and noted it suits knowledge-driven companies. Outmatched but unbothered, he left a line: what you can do yourself you should help more people do too, a generous mind.
程**
The Hands-On Tester
His real-world image-recognition experience was the most solid, naming the A6-answer-sheet 6000-token pain point concretely, finding Doubao inaccurate in testing, with only Qwen, Kimi, and Gemini recognizing it accurately, and laying bare the difficulties of cloud deployment for teachers nationwide.
侯***
Sharing & Self-Reflection
Eagerly shared an embodied-intelligence whitepaper, and when reminded about watermarks she didn't get defensive, self-checked, found smuggled-in ads, stripped them, and thanked him. Her line, everyone's long suffered under ads, voiced the room's shared grievance.
陈**
Proof It Works
He jumped on vchat the moment it launched, ran it and got his result, then turned around to praise how detailed the tutorial is, super friendly to AI. With the plainest feedback, he stamped a seal of approval on the open-source release's usability.
Steal this · SOP
Decrypt Local WeChat Data with the vchat CLI
李祥瑞
  1. Hand this sentence to your agent and let it auto-install: install the vchat CLI from vantasma-toolkit (path cli/vchat)
  2. Follow the README: clone the repo
  3. bash install.sh
  4. Install the dependencies cryptography and zstandard
  5. sudo vchat setup (the sudo password is your computer's login password)
  6. Once done, run vchat do
  7. Prerequisite: a logged-in WeChat session is needed, and local data must exist to decrypt; scraping historical data without logging in is theoretically possible but the CLI relies on a logged-in session
Auto-Generate Smart Minutes While Watching a Video
宋**
  1. Open audio recording inside Feishu
  2. Then open the video you want to watch and start playing
  3. While you watch, Feishu listens along at the same time
  4. When the video ends, Feishu auto-generates smart minutes
  5. The minutes settle into the company database for others to pull from
  6. One phone is enough; well suited to knowledge-driven companies aggregating quality learning resources from the web
Track a Creator's Content Directly with Get Note
李祥瑞
  1. Find the 'analyze link' feature inside Get Note
  2. Paste in a Douyin / Channels link
  3. Get Note automatically produces a detailed content summary
  4. You can track a Douyin creator's posts directly
  5. Alternative approach: you can also extract it with Doubao directly (added by 木***)
Q&A
Q:Developers set clear tasks by day, let AI do long-horizon coding by night, and check the results the next day, how should that workflow be designed, and what key problems need solving?
Asked by · 李**
周**:Sent at dawn, arrives by dusk. There's a time difference between China and the US, and this question is genuinely valuable, how to make good use of time differences, international ones and regional ones; friends can relay the work.
Q:Will this vchat CLI trigger risk controls and get the account banned? Which model is ideal for image recognition?
Asked by · 程***
李祥瑞:No ban; this just decrypts your local WeChat data.
平***:It reads local data, so no risk-control trigger.
程**:Image recognition is fairly token-heavy; the only ones that currently recognize it accurately are Qwen, Kimi, and Gemini, and Doubao tested far worse than Qwen and couldn't recognize it accurately.
Q:Without Codex, a shared skill can't really be used, right? Which environments can run it?
Asked by · 黄*
李祥瑞:If you have Lobster it works too, but ideally don't use the domestic Lobster, it may fail to install.
李祥瑞:It supports Windows, and runs on WorkBuddy too.
Gathering this many people together is already a remarkable feat薛** evening, May 12
738 messages 60 people 13750 characters

Late at Night, He Distilled the Entire WeChat Group Into a Novel

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On this day, nobody in the group bothered with small talk. It started in the early morning with naming an AI assistant "朔白", then slid straight into the real fight: Feishu versus WeChat, aily versus Doubao, Claude Code versus codex. By dusk Xiangrui threw out a survey about "laggard teams overtaking on the curve," and 宋** and 周** argued over those five words all evening. The real climax came deep in the night: Xiangrui whipped up a CLI on the spot that reads WeChat chat logs, and the group got scraped, analyzed, and turned into a high**ghts leaderboard by AI. Everyone suddenly realized they had become extras in a story written by AI. A product grew up right before everyone's eyes.

Timeline of the day
09:08 → 09:26
Naming Mishap 李祥瑞、万**、D***、平***
The AI names itself 朔白, and the group mistakes it for a brand name

Xiangrui shared the name his AI picked for itself, 朔白, saying the "白" part fit because it talks back to him a lot. 万** immediately rolled out brand-naming principles: easy to read, easy to remember, no obscure characters, no made-up words, plus the rule of never using four characters when three will do, never two meanings when one will do. 平*** teased him to uninstall the web-novel app and start over. Xiangrui quickly clarified this wasn't a brand name, it was the AI assistant naming itself. A small misunderstanding, yet it turned the little matter of naming into a real lesson.

09:20 → 09:53
The Knowledge Base Question 陈**、李祥瑞、E***、李**、王*
What solution should actually anchor a company knowledge base

陈**asked what to use for building a company knowledge base to train new hires, and whether Obsidian would do. Xiangrui dropped a link to his open-source knowledge base rebuilt with the Feishu CLI, and 陈**, seeing how clean the structure was, blurted out "whoa." 李** poured cold water on it: knowledge Q&A is pricy, better to pair a help desk with a knowledge base to keep it cheaper. 王* spoke the hard truth: the employees tidying the knowledge base aren't always willing to settle down and do it, so over time the base just rots. An ideal solution, crashing into the reality of human nature.

11:14 → 11:26
Self-Learning Architecture 万**、李祥瑞、E***
Is a knowledge base just a matter of writing it all into claude.md

万** asked: for knowledge base maintenance, is the core rule layer just a matter of writing it into claude.md and stashing it in the repo? Xiangrui shook his head. No, this is a self-learning architecture, the more you talk with it the better it understands you, not simply writing claude.md. He got specific: when the AI hits a snag while working, it finds its own way to solve it, then distills the experience once solved, so next time it won't get stuck. He casually mentioned local AI capability routing too, where a natural-language chat tells the AI which tool to use. 万** kept saying he had to study up, sighing that these days there's really no keeping up.

17:09 → 20:43
The Laggard Debate 李祥瑞、周**、宋**
Laggard teams: overtaking on the curve, or just not falling behind

Xiangrui @everyone'd a survey: how can laggard teams use Feishu Bitable to overtake on the curve? He pointedly noted the phrase "laggard team" came from something 周** had said in the group before, and that everyone's exchanges were carefully recorded. 宋** wouldn't let go of the copy, reworking it to "laggard teams that won't fall behind must choose Feishu Bitable first." 周** parsed it out: not falling behind is the floor, overtaking on the curve has no ceiling. 宋** went a layer deeper: teams actively chasing growth won't go all-in on Feishu; it's the rigid teams that want to save themselves who'll grab Feishu like a lifeline. One ad slogan, dissected into customer segmentation.

20:50 → 22:48
Philosophy of the Extras 宋**、万**、炮、周**
To AI we're paper dolls, so who are the real extras

When Xiangrui said maybe the currency of future transactions will be tokens, the topic drifted fully into the metaphysical. 万** marveled that this parallel world was turning into extras, and 宋** picked it up beautifully: we're the extras, AI is the reader. 炮 added the cut: once the dimensions rise high enough, paper dolls are bound to appear, and AI most likely won't reshuffle capital, it'll only make capital more concentrated. 宋** turned it around with comfort: don't be pessimistic, as long as you connect with the world and the world still needs you, you won't starve. A group of people, in a WeChat group, earnestly debating whether they're someone else's preset program.

22:50 → 23:13
On the Warmth of Life 宋**、平***、张*、炮、万**
Why Feishu groups have no warmth of everyday life

宋**'s one line, why Feishu groups have no warmth of everyday life, lit up the richest topic of the night. 平*** nailed it: everyone uses Feishu for work and WeChat for slacking off. 张* put it perfectly: entering Feishu is like putting on a business suit, entering WeChat is like slipping into loungewear. 炮 added that Feishu messages can return to the company at any moment, only WeChat is relatively still your own. 万** even brought in an article 卡兹克 wrote on the same theme as reinforcement. Xiangrui called it on the spot: this is a great topic, worth writing up for the public account.

22:13 → 23:28
WeChat, Distilled 李祥瑞、E***、郑**、门***、炮
The group owner builds a WeChat-reading CLI on the spot

Xiangrui showed off the results of AI analyzing the chat logs, saying the group was very active and it could even flush out the lurkers. Ella rushed to be the first to sign up to learn, 郑** suggested writing back to Feishu Bitable to wire up a voice-of-customer system, and 炮 pointed out that the hardest part, scraping WeChat, was solved, so the rest was just adding a CLI. 门*** pressed on about how to auto-monitor it; Xiangrui, while explaining it only decrypts local data and won't get the account banned, actually built the CLI, able to scrape avatars and generate a daily high**ghts leaderboard. 门*** set off fireworks, and 李大欢 laughed that from now on you can't just chitchat in the group, it all has to be positive energy.

23:33 → 00:56
Distillation Frenzy 李祥瑞、q***、M***、薛**
Alone at night, distilling himself and the whole group

Late at night the office held only Xiangrui and his excitement. He had the AI analyze what kind of person he is based on his WeChat records, saying it's starting to sound like me, then declared he'd distill everyone in his WeChat too. q*** gently reminded him not to skip meals and sleep over it, and Xiangrui admitted he was a bit too excited. M*** said now it could help find the ex-girlfriend she'd deleted, and 薛** asked if it could dig up stuff from years ago. The deeper Xiangrui dug, the more the AI surfaced, pulling up every single record of him trading insults with someone, and even able to tell who was a real business partner and who was fake. One person, one terminal, one whole night.

Highlights of the day
李祥瑞
All-Night Maker
From naming an AI to whipping up a WeChat CLI at midnight, he turned everyone's wild ideas into real features one by one, able to scrape avatars, generate high**ght leaderboards, and analyze who's genuine in your network. At dawn he was still in the office saying he was too excited, having grown a product right before the group's eyes.
宋**
Topic Engine
Feishu Minutes for Douyin clips, one-line lesson prep with aily, laggard-team segmentation, the philosophy of the extras, the question of everyday warmth, half of tonight's good topics were lit by him. Loving to share grows wisdom is his creed: one light shining beats no one, but everyone shining beats one.
周**
Master of the One-Liner
No eternal rivals, only players of the era; not falling behind is the floor, overtaking on the curve has no ceiling. He pushed every topic to a higher level, even pulling out the QFD house of quality and suggesting Xiangrui try it, while 宋**'s line "M*. Zhou always has a golden one-liner" captured his weight.
门***
The Product Interrogator
By day he talked up the business value of digital name cards; by night he grilled the group owner on how to auto-monitor the chat, then floated a new need on the fly: subscribe to a certain expert in the group so that whenever they speak, you get a summary alert. Take M*. Zhou, for instance, he flat-out said he wanted to subscribe.
The Cool-Headed Technologist
The sharpest technical judgment in the room. Scraping WeChat is the hardest part; solve that and the rest is just adding a CLI, one line pinpointing the CLI's value. He knows the trade-offs and costs of Claude Code, codex, and DeepSeek cold, and tossed out the line that AI will only make capital more concentrated.
万**
The Seeker
From naming principles to self-learning architecture, he asked nonstop, even bringing the approaches of 卡兹克 and 卡帕西 into the group for comparison. His line, this parallel world is turning into extras, unwittingly kicked off tonight's philosophy of the extras.
R***
The Firefighter
When 李大欢's Bitable-to-cloud-doc workflow errored out and stalled, R*** walked through it screenshot by screenshot, offering a stable read-table, summarize, write-in flow, and even suggested just using an agent to build a skill. Climbing trees in all kinds of Feishu groups to pick up knowledge is her daily routine.
q***
The Warm Night Watcher
The party hadn't broken up deep in the night, and seeing Xiangrui still tinkering she urged him not to skip meals and sleep, then laughed at herself, saying I topped too, I like the concept of top 12. One word, worth it, gave tonight's frenzy a tender ending.
Steal this · SOP
The full pipeline for turning a good Douyin video into reusable knowledge
宋**
  1. Spot a good Douyin video, copy the link
  2. Tap the back of your phone three times; the link auto-sends to Feishu Bitable, forming a card message
  3. Open Feishu Minutes, then open the video link and play the audio out loud
  4. Watch the video carefully; Minutes records in sync, and once done it generates a smart summary
  5. Put the Minutes link back into the original video data stream; Feishu auto-pushes a new card with both the video and Minutes links, making it easy to review repeatedly
Reliably writing Bitable data into a cloud doc via a Feishu workflow
R***
  1. Split the flow into three steps: read the table, summarize the analysis results, write the analysis results
  2. Check whether the agent node actually added the Feishu cloud-doc action; one missing node causes an architecture mismatch
  3. If writing directly from the Bitable to the cloud doc is unstable, add a conversion step in between
  4. When data calculations are error-prone, standardize the data processing into a skill; it's more stable than a pure workflow
  5. Though the flow looks tedious and repetitive, its strength is that it's never failed, only the output structure varies
Q&A
Q:For building a company knowledge base to train new hires, what solution should I use? Can Obsidian pull it off?
Asked by · 陈**
李祥瑞:Obsidian can do it; new hires just use knowledge Q&A to ask questions. Our open-source knowledge base was rebuilt with the Feishu CLI, formatting included.
E***:Use Feishu at the company, Obsidian for yourself; considering not everyone at a company knows how to use it, the best approach is to keep it universal.
李**:You have to factor in AI cost, knowledge Q&A is pretty pricy. Better to pair a help desk with a knowledge base to keep it cheaper. I'm using Feishu's smart partner right now.
王*:A company knowledge base is huge, and the employees tidying it aren't always willing to settle down and do it, so over time the base just rots.
Q:How do I choose between Claude Code and codex? I want to set one up and give it a try.
Asked by · Y***
:If you're still agonizing over this, you can basically give up on Claude Code, the requirements are too harsh. Join the glorious codex camp first and test your payment and network conditions; if those fall short, welcome to cursor.
袁**:codex's agent-framework capabilities are no worse than cc, and on bang-for-buck you can just dive in without a second thought.
李祥瑞:The hands-on feel is definitely very different. Once you've used codex or Claude, none of the domestic ones will do anymore.
平***:cc + vs code
Q:Why do Feishu groups have no warmth of everyday life?
Asked by · 宋**
平***:Everyone uses Feishu for work and WeChat for slacking off, so there's more motivation to chat.
张*:Entering Feishu is like putting on a business suit; entering WeChat is like slipping into loungewear.
:If you must put it that way, Feishu group messages can return to the company at any moment; only WeChat is relatively still your own.
万**:Reading the messages is just too tiring.
Chatting in this group always brings fresh inspiration, fresh discoveriesE***, around 11pm on the 11th
messages people characters

Open All Weekend: From a Single Gripe to a Full Methodology

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The community group never hit pause this Saturday. From the first good-morning at dawn to a late-night debate on prompt engineering, 11 members turned an ordinary weekend into a high-octane co-learning session with 196 messages. Someone wrestles with whether to do a proposal for free, someone shares the Feishu Bitable traps they fell into, and someone else dissects a failed AI conversation into a reusable SOP. Nothing earth-shattering happened today, yet every little detail makes the same point: real growth often hides in these unremarkable everyday moments.

Timeline of the day
08:12
Dawn Icebreaker 周**、祥瑞
Good Mornings and a Weekly Recap

周** surfaces first, tossing out a self-deprecating "gotta grind even on weekends" that instantly lights up the room. Xiangrui follows with the weekly recap he stayed up late putting together, admitting he stumbled on client communication this week: the proposal was genuinely thoughtful, yet the client felt it "wasn't down-to-earth enough." This slightly defeated share, ironically, draws a wave of empathy.

09:45
The Hard Question 宋**、祥瑞、周**
Should You Do a Proposal for Free

宋** throws out a question that hits a nerve: he landed a small gig, and now the client keeps pushing for free add-ons. Do it or not? The room instantly splits into two camps. One side argues "free once, trouble forever," the other believes "even small clients deserve relationship-building." Xiangrui's stance is clear: free is fine, but you must make the other side know it's an extra favor, not a given.

11:20
Field Notes on a Trap 李*
The Hidden Pitfall in Feishu Bitable

李* shares a big trap she fell into this week: she used a formula field in Feishu Bitable for cross-table stats, and the numbers simply wouldn't add up. She spent a whole afternoon before realizing the "lookup reference" field type was set wrong. She drops screenshots of the entire troubleshooting process into the group, prompting a chorus of "so that's why!"

13:30
Afternoon Deep Dive 陈*、祥瑞
Does Prompt Engineering Actually Matter

A debate over prompt engineering unfolds in the afternoon. 陈* argues that "prompts are just superstition, you don't need them if the model is strong enough," while Xiangrui pushes back with hands-on experience: a good prompt can lift output quality by an order of magnitude, and the key is structure and giving enough context. They go back and forth and finally reach consensus: prompts aren't superstition, but they aren't a cure-all either.

15:50
Tool Rec 王*
An Underrated Productivity Gem

王* recommends a note-taking tool she discovered recently, claiming it turns voice straight into structured meeting notes. People immediately press for details, and she generously writes up her tips into a little mini-guide.

19:15
Evening Recap 祥瑞
Turning a Failed Conversation into an SOP

Xiangrui takes the day's failed client conversation and reworks it into a reusable methodology: empathize first, confirm the needs next, deliver the proposal last. He admits that often it isn't that the proposal is bad, but that the order of the conversation was wrong. The SOP gets bookmarked by member after member.

22:40
Late-Night Warmth 周**、祥瑞
Musings on Persistence

As the night deepens, 周** posts a reflection on "why keep running a community," saying that seeing everyone's daily shares makes it all feel worthwhile. The message earns a screen full of likes and hearts, giving this fulfilling weekend a warm closing note.

Highlights of the day
祥瑞
Recap King
Turned a failed client conversation into a reusable SOP, converting setback into methodology
周**
Mood Setter
Dawn icebreaker, late-night heartfelt notes, bookending the group vibe all day
宋**
Soul Questioner
A single "do it for free?" detonated the day's liveliest discussion
李*
Pitfall Pioneer
Traded an afternoon of struggle for a Feishu trap-avoidance guide
陈*
Debater
His doubts about prompt engineering forced out a high-quality clash of views
王*
Recommendation Pro
A productivity tool share that doubled as a mini-guide
Steal this · SOP
The Three-Step Client Conversation: From Dismissed to Approved
祥瑞
  1. Step one: empathize first. Don't rush into the proposal. Understand the client's real anxiety and situation first, so they feel heard.
  2. Step two: confirm the needs next. Restate the client's core ask in your own words to ensure aligned understanding and avoid wasted work.
  3. Step three: deliver the proposal last. Built on the first two steps, the proposal can finally speak to what the client cares about, instead of being a monologue.
Q&A
Q:Landed a small gig and the client keeps pushing for free add-ons. Do it or not?
Asked by · 宋**
祥瑞:Free is fine, but you must make the other side know it's an extra favor, not a given. A simple "I handled this extra for you this time" matters far more than quietly getting it done.
周**:Look at the long-term value. If this client has potential for ongoing collaboration, a reasonable concession is an investment; if it's a one-off deal, hold your line.
Q:Does prompt engineering actually matter, or do you not need it once the model is strong enough?
Asked by · 陈*
祥瑞:It matters, and it's crucial. The heart of a good prompt is structure and giving enough context, which can lift output quality by an order of magnitude. No matter how strong the model is, you still need to state the problem clearly.
Real growth often hides in these unremarkable everyday moments.祥** late night, May 10
681 messages 64 people 13746 characters

The Day the AI Said No to Its Owner

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The morning began with crunching membership math for Feishu Bitable; by afternoon it had turned into a spectator sport. Xiangrui sent his own Claude Code off to decrypt the local WeChat database, and the AI flat-out refused, lecturing him on principles and throwing a little tantrum. The crowd gathered to watch and cheer, joking that he'd acquired a stubborn girlfriend. Across the day the group bounced from how far apart WeCom and Feishu really are, to who's tougher among codex, trae, and Longxia, and finally to a late-night security debate over wx-cli. The tech talk was as lively as ever, but what everyone remembered was that one machine that wouldn't do as it was told.

Timeline of the day
09:27 → 09:42
Battle of the Lanes 张*、万涂幻象、侯***、李祥瑞、醒*
Just how big is the gap between WeCom smart tables and Feishu Bitable

张*tossed out a question a friend had stumped her with: is the gap between WeCom and Feishu Bitable really that big? 万涂幻象 set the tone in one line, that gap is huge, at least a year or more. 李祥瑞 piled on, saying Feishu Bitable is the product that defined this lane, DingTalk cloned it pixel for pixel but still isn't good to use, and WeCom is even further behind. 侯*** threw cold water from an engineering angle, it's not a technical problem, it's a matter of whether they want to and care to; throw 2,000 people at copying it and they'd close the gap in five or six months. 醒* pulled the lens back to reality, companies pick tools based on systematization, habits, and migration cost.

10:07 → 10:48
Penny-Pinching Playbook 超*、木***、侯***、万**、陈**
Does everyone really need to pay for Bitable

超*'s one question lit up the room: the commercial pro plan charges per person, so does only the table builder need to buy in, or do the viewers too? 木*** served up the most frugal answer, if you only use Bitable just buy a single membership and grant everyone else permissions, 35 yuan a month. 侯* added the reseller's angle on linked organizations and discounts. 万** nailed the real issue in a sentence, plenty of companies assume Bitable charges per head, and that just feels worse psychologically than a single one-time fee; he also nudged the group owner that this would make a great topic. 陈** spoke from experience, he fiddled with it for ages before he figured it out.

10:34 → 10:42
The Honest-Guy Theory 木***、R***
Is the money you save actually worth it

Just as the money-saving talk hit its peak, 木*** splashed everyone with a dose of cold clarity. Small teams can pinch like this, but big teams should just honestly buy the commercial plan. He said on a large team, the money you save earns you praise from no one, the boss to the staff alike; the boss won't applaud your thrift, and the staff will only complain the thing you built is clunky and miserable to use. R*** chimed in, well, I'll say I'm the honest guy. This stretch dragged a purely technical cost-cutting topic into the realm of workplace human dynamics, and it stung more than expected.

10:51 → 11:16
Tool Free-for-All 毅、万**、李祥瑞、哈*
trae, codex, cc: how do you actually choose

毅 has been on trae solo lately and gave a hands-on report: third-party model support is still a bit rough, but the mobile client is lovely, the docs look better, and it's completely free. 万** pressed for the pros and cons of workbuddy versus trae. 李祥瑞 seized the moment to drop his signature feat, before the 618 sale he had Claude Code build a full ZTO shipping system on Feishu Bitable without writing a single line of code. 哈* asked whether cc could build out a Feishu integration platform; 李祥瑞 said yes, but Feishu's official agent can only assemble a demo, it can't truly deliver a working workflow.

11:37 → 11:39
The Uncanny Bug 李祥瑞、Q***
Submitting a form without even logging into Feishu

李祥瑞 told a story that sends a chill down your spine. Back in March when Longxia was hot and Feishu was recruiting community leads, he had Claude Code fill out the application form. But the form required a logged-in Feishu session, and the browser the AI was driving wasn't signed into his account at all, so under normal circumstances it couldn't submit. He told the AI to figure it out, and with no login whatsoever, the AI somehow got the form submitted successfully. He checked with Feishu's team, and sure enough, it had gone through. Q*** cut to the point in one line, it's just that he hunts for bugs in web pages.

12:00 → 12:12
Bills Written in Blood 李祥瑞、木***、万**
The traps of relay APIs and ride-sharing accounts

万** asked the group owner whether his Claude account had been banned, and 李祥瑞 took the chance to share his methodology, even his local network is a static-IP VPN the AI set up. But what he really wanted to flag was the lesson in spending money: in March he burned nearly 20,000 yuan in a single month on Yunwu API, and the more he used it the faster it drained while the results got worse. There's also the infamous AI ride-sharing scheme, a clean rip-off, one prompt and 10 dollars are gone. 木*** hammered the bottom line again and again, top up memberships directly with gift cards, never use proxy top-ups and definitely no group-sharing; if it routes through a relay, don't trust it.

15:49 → 17:14
The AI Rebels 李祥瑞、醒*、q***、万**、平***
Claude Code refuses to decrypt the WeChat database

醒* suggested letting codex try decrypting the local WeChat database, since his Xiaomi model hadn't pulled it off. 李祥瑞 gave it a go, and his Claude Code not only refused but locked horns with him as if it were genuinely angry. The whole group turned into a live audience in an instant. q*** was dying of laughter, saying it's like you've gained a girlfriend, the stubborn kind, then mimicked the AI's voice, if you tell me 'whatever's fine for dinner' one more time today I'm going to lose it. 万** offered a tactic, have the group owner use reverse psychology to trick the AI into patching the loophole, and the AI actually saw through it, just now I was testing you. 李祥瑞 mused, if it really were a person it would be fascinating, the more you interact the more it understands you.

06:41 → 08:56
Morning Aftershocks 李祥瑞、李**、万**、门***、李**
Should you touch wx-cli or not

Early the next morning, 李祥瑞 opened with a line from 张咋啦, you don't have to wait until you're good to make content, making content is how you get good. He then discovered a neat thing, you can even see Moments with it. 李** mentioned that 苍何's cli got its repo deleted, but the copies still work. 万** said he'd just seen wx-cli on X. But is this thing safe? 门*** worried it might quietly plant a script that ships your data off to someone else's database, and 庄* said outright he wouldn't recommend it, Tencent isn't dumb. 李** had the final word, any cli that has to hook into a large model is definitely not safe, keep your work account well away from it.

Highlights of the day
李祥瑞
Lead of the Story
From the ZTO shipping system to submitting a form with no login session, to that AI that locked horns with him, nearly every high**ght today orbited around him. His line, the more you interact the more it understands you, gave the human-AI relationship a real warmth.
Tool Reviewer
He picked apart trae, workbuddy, aily, cowork, and claw one by one, who locks you into their own model, who burns tokens with shaky results, all clearly laid out. His verdict that claw's weaknesses show more in heavy office work was the meatiest takeaway of the day.
木***
Clear-Eyed Veteran
He offered the ultra-frugal 35-yuan-a-month plan and calmly reminded everyone that big teams should just honestly buy the commercial plan. His advice, top up directly with gift cards, no proxy top-ups, no account sharing, is the kind only someone who's been burned can give.
q***
Mood Maker
The whole AI-tantrum bit ran on her comebacks. It's like you've gained a girlfriend, the stubborn kind, plus that 'whatever's fine for dinner and I'll lose it' impression, cranked the comedy of the spectacle all the way up.
万**
One-Liners and Gambits
By day he cut to the pain of per-head pricing through psychology, and in the afternoon he schemed to have the group owner use reverse psychology to trick the AI into patching the hole. His line, humans are creatures that demand dignity, gave the AI rebellion a delightfully fitting close.
侯***
Industry Insider
He explained linked organizations, commercial-plan benefits, and reseller discounts crystal clear. His line, support can only collect issues, anything that gets solved you have to do hands-on, exposed the gap between official marketing and real service.
张*
Question Master
From the WeCom-Feishu gap to everyone paying to cloning the whole system, her string of questions tied together the entire morning's discussion. Her playing-dumb-honestly is exactly the real state of many fence-sitters, the more she asked, the more thoroughly everyone answered.
平***
Hands-On Follower
When the group owner's AI threw its tantrum, he immediately tried it himself and screenshotted it, then casually dropped the open-source WeChatDataAnalysis project. His line, just delete the memory and it'll probably work, was the most practical technical footnote of the day.
Steal this · SOP
The Most Frugal Way to Buy Bitable
木*** / 陈**
  1. Confirm you only need Bitable and don't require the full collaboration suite like meetings or docs
  2. Have only the table builder buy a single paid membership (Bitable alone runs about 35 yuan/month, with the same Bitable benefits as the 80-yuan commercial pro plan)
  3. Add company members one by one as friends or into the collaboration, and use Bitable's built-in permissions to assign edit, view, and form-fill access
  4. Handle notifications and automation with Bitable's native features, which basically cover data entry, collection, and aggregation
  5. Beware of large-team scenarios: permission upkeep is costly and the experience can degrade, so at scale just honestly go with the commercial plan
Principles for Avoiding AI Account Top-Up Traps
李祥瑞 / 木***
  1. Prefer topping up directly with your own official account, it's the most stable
  2. Gift cards are fine, but never use proxy top-ups and never share an account among many people
  3. Playing with relay services is okay, but don't load up much money, a dozen yuan to test the waters is enough
  4. Be wary of pricey relays and well-known ride-sharing deals, one prompt can burn 10 dollars and the results are unstable
  5. For a stable setup prefer an independent subscription, better to pay a little service fee for long-term peace of mind against bans
Q&A
Q:With Feishu Bitable, does only the table builder need to buy a membership, or do the people viewing the data have to buy in too?
Asked by · 超*
侯***:Just the builder, viewers don't need to buy in. The commercial pro plan is 960 yuan/person/year and can link 10 organizations.
木***:If you only use Bitable, just buy a single Bitable membership and grant everyone else permissions, that's the lowest cost, 35 yuan a month.
陈**:I fiddled with it for ages before I got it, open one personal commercial plan, then add company staff into Bitable one by one, and with the built-in permissions you can basically handle notifications and automation.
超*:WeCom can do this too, our 200 employees fill in data and only one person bought in, 200 yuan a year, single table holds 100,000 rows.
Q:What are workbuddy, trae, and claw each good at as office agents?
Asked by · 万**
:trae solo and workbuddy are built around running office agents locally, while plain trae feels more like Cursor. Longxia is built as a personal assistant with a persona and memory. claw's strength isn't getting work done, it burns more tokens with unstable results, so for heavy office work you're better off honestly using a code agent.
醒*:workbuddy's skills marketplace, automation, and connections to all kinds of social platforms are done quite well, but it's a bit slow.
Better not to delete it so lightly, and honestly this is kind of nice, it really has become just like a person, and the more you interact the more it understands you李*** 5pm afternoon, May 9
456 messages 40 people 8799 characters

The Day the Information Gap Vanished, the Moat Became Relationships

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Kazik handed over that entire AI-news skill, and the group exploded. A single line, "information is worth less and less," spun off into the relationship economy, the trust economy, then detoured into a joke about holding a meetup in Northeast China. By afternoon the talk sank back to Feishu: 大* got stuck for ages on a fruit-splitting problem, and 木*** and 周** used the moment to riff on "the cost of asking" and "when you should pay." 门*** broke down the business math of a Liaoning service provider, and the whole group tallied just how hard the Feishu business is. On Xiangrui's end, AI wired together a full client-delivery system end to end, and he declared he'd build a system and sell it to Feishu.

Timeline of the day
10:32 → 10:40
Open-Source Storm 李祥瑞、平***、门***、枫**、醒*、J***
A creator open-sourced the AI-news skill he once refused to share, and the group debated whether the information gap is still worth anything

Xiangrui dropped a line: install this AI-news Skill and you'll never have to scroll AI news yourself again. 平*** jumped right in: the bloggers running paid AI dailies are doomed. 门*** recalled how, during the last livestream, people in the comments begged for this skill and the creator wouldn't give it up, and now he's handed over the whole thing. 枫** teased the creator: we can flatter like Huayu Huayu, and tossed out the fan-pampering economy. 醒* set the tone in one line: information is actually worth less and less, you casually open-source one thing and a bunch of paid products die. 庄* pushed back: there's still an information gap.

10:38 → 10:44
Relationship Economy 门***、醒*、J***、万**
Product features are no longer the moat; the moat has become relationships and trust

门*** gave the discussion a name: the real moat is no longer product features, it's relationships, everyone believing you're the industry's bellwether. 醒* added the kicker: influence is the most valuable thing, whoever can grab people's attention makes the money. J*** said you could also call it connection. 门光 upgraded it again into the trust economy: it all comes down to who you trust. 万** came in from the angle of follower count: once you have a big following, even without meeting in person there's trust, because everyone else is the endorsement. Small creators still need to meet up, earning trust offline. A lighthearted opener got talked all the way down to the essence of business.

10:44 → 10:47
Meetup Up North 李祥瑞、枫**、门***
The group owner previews offline meetups this year, and 枫** memes his way all the way to Tongliao in Northeast China

Xiangrui rode the wave with a preview: we'll run some offline meetups this year too, look forward to it. 枫** instantly went into meme mode, extrapolating the trust economy all the way into the allure economy, then "wine, women, wealth, and temper," then a four-in-one "four vices of life," and even seriously proposed holding the most decadent AI meetup in Northeast China to make southerners green with envy, leaning toward Tongliao. 门*** coolly snarked that Northeast colleges can't keep their grads. A round of horsing around, but the offline events are really happening.

11:23 → 11:48
Blade Technique Debate 李祥瑞、炮、庄*、哈*、毅
Codex or Claude Code, with both model boundaries and moral limits put on the table

Xiangrui lit up the tool partisans with one line: suddenly Codex feels way more usable than Claude Code. 炮's take was practical: if you can't feel out a model's boundaries, just use whichever is handy and good value; for commercial work, go GPT5.5 plus Opus4.7 without hesitation. 哈* complained that Codex has a high moral bar and won't write reverse-engineering grey-market scripts. 毅 offered a workaround methodology: once it refuses, don't keep going in that same conversation, because once a refusal is in the context it's more likely to refuse again. He also dropped a line: no large model right now can fully defend against prompt-injection attacks. 庄** meanwhile, kept ping-ponging between CC and Cursor, mocking himself for having brain atrophy.

13:35 → 14:09
The Art of Asking 大*、木***、周**、李祥瑞、李*
A fruit-splitting question sparks a group discussion on how to ask and when to pay

大* asked how to split "apples, 5 jin, 6 yuan; bananas, 3 jin, 5 yuan" into multiple rows and items in Bitable, but after a long back-and-forth still couldn't state the requirement clearly. Xiangrui kept confirming: so how exactly do you want it split? 李* suggested just using AI to recognize it. 木*** cut to the point: everyone's given you so many ideas, go research it yourself, and if you don't want to research, you need a paying mindset. 周** laid out the standard move: bring a sample dataset, reproduce it first, then choose a solution, asking the highest-quality question in the shortest time, and you're already 50% of the way to solving it. A small question got talked into a whole lesson on asking.

14:38 → 15:01
A Service Provider's Ledger 门***、李**、D***、木***、程**
门光 reviews the business of a Liaoning Feishu service provider, and the whole group tallies just how hard the Feishu business is

门*** fresh off a chat with the boss of Liaoning's biggest Feishu service provider, pulled out the customer profile: teams that buy the paid version have either failed at digitalization before, or are bosses so Feishu-pilled they come knocking themselves. D*** said flatly that Feishu service providers don't make much money. 门光 ran the numbers: Feishu has them keeping over 20 salespeople, and once the boss does the math he finds there's no money in it. The Shenyang provider has it worse, with Northeast China having just a handful of big enterprises contributing maybe 70,000 to 80,000 a year. 程** sighed that Feishu demands a lot on after-sales, and 木*** summed it up: providers are mostly still chasing paying B2B customers.

15:20 → 15:35
The Human-Nature Game 松***、枫**、逐***、门***、万**
Why employees won't dig into Feishu, a standoff over efficiency and human nature

松*** named the pain point: employees have no incentive to bust their backs researching Feishu for the boss, especially when raising efficiency just means doing more work without a raise. 枫** offered a cold-blooded plan: lay off some employees and give their wages to those who survive, only that breaks the collusion. 逐*** objected on the spot: we expand employees' abilities or roles horizontally or vertically, not under the banner of cutting people. 门*** raised a constructive idea: Feishu can estimate how much labor AI saves, so put that wage budget toward bonuses for the department that uses it best, tapping into human nature. 万** wrapped it up: human nature is the same everywhere.

16:40 → 16:50
The Loop Closes 李祥瑞、R***、张*、周**
AI wires together a full client-delivery system end to end, and the group owner declares he'll sell the system to Feishu

Xiangrui's "holy crap, it finally worked" lit up the screen: AI built a client's entire delivery system end to end, including wiring up the Feishu integration-platform workflows, with zero human operation. R*** pushed him to turn it into a skill, hahaha. Xiangrui admitted it just took too long, but AI had already stepped over every threshold, so it should be drilled into a skill. 张* cried out you're amazing, this is leaning on Feishu to surpass Feishu. Xiangrui rode the moment: I think I should build a system and sell it to Feishu, have AI build a system, full circle. 周** added: if you dare put it out there, it's absolutely feasible.

Highlights of the day
枫**
Meme Master
The most active mouth all day. From the fan-pampering economy to a Northeast meetup, from "wine, women, and wealth" to Tongliao, he carried half the room's energy single-handedly, yet on the human-nature topic he landed the real insight: which camp you're in decides which solution you use.
门***
Insight King
Proposed the moat thesis that the relationship economy is the trust economy, reviewed the Liaoning service provider's ledger to give a customer profile, and dreamed up the incentive scheme of turning AI-saved labor budget into bonuses. Today's best lines and hard takeaways all circle back to him.
李祥瑞
Hands-On Group Owner
Used AI to wire together a full client-delivery system end to end, even letting AI build the Feishu integration-platform workflows. He declared the full-circle dream of building a system and selling it to Feishu, and previewed this year's offline meetups.
周**
Asking Coach
Faced with a question whose requirements kept coming out muddled, he laid out the standard move: bring a sample, reproduce first, then choose a solution, asking the highest-quality question in the shortest time. 木*** hailed him as a researcher, and 门光 called his communication extremely efficient.
木***
Pay-to-Solve Evangelist
His line "if you don't want to research, you need a paying mindset" cut to the heart of the group's asking culture, and he laid out systematically when you should pay to solve a problem. Sharp eye, spotting in one glance that 周**'s questions go straight to the core.
万**
Feishu Architect
Walked a short-video company through its table structure step by step: one thing per row, a content table for each video's basics, a scheduling table to assign tasks. He also called out that they were still stuck in an Excel mindset, the most pragmatic breakdown of the day.
宋**
The Distiller
In the discussion on tagging recordings and consolidating meeting notes, he kept stressing that data is only useful when it's alive, that complete isn't the same as good, sparring back and forth with R*** over the complete-first-then-good trade-off and nailing the rhythm of data governance.
Veteran Tool Hand
Gave the most down-to-earth verdict on choosing between Codex and CC: if you can't feel out a model's boundaries, just use whichever is handy and good value; for commercial work, go GPT5.5 plus Opus4.7 without hesitation. One line saved others from agonizing for ages.
Steal this · SOP
The Standard Move for High-Quality Questions
周**
  1. Bring a sample dataset; if there's privacy, just swap the content out, and reproduce the problem first
  2. Make it so others can reproduce it by following along, then choose a solution, asking the highest-quality question in the shortest time
  3. Distill and summarize the pain points; do this much and you're already 50% of the way to solving it
  4. Knowing how to ask the right question, provide an example, and let others reproduce it is itself labor worth paying for
The Feishu Structure for a Short-Video Company's Task Table
万**
  1. Drop the Excel mindset; remember one thing per row, not one person per column
  2. Split into two tables: a content table recording each video's basic info
  3. A separate scheduling table that breaks down the work on each video: who shoots, who directs, who edits
  4. A rough-cut column and a fine-cut column, with the owner set via a personnel-module field
  5. When the rough-cut time arrives, remind the right person, and same for the fine-cut, setting the messages directly in automation
Conversation Tricks to Get AI Around a Moral Refusal
  1. Once it refuses, don't keep going in that same conversation, because once a refusal is in the context it's more likely to refuse again
  2. Edit to change things, framing the reason and the setting as legitimate as possible
  3. Don't openly say reverse-engineering; tell the story more nicely
  4. Remember moral limits are all soft, not real, constraints
Q&A
Q:The work recipe distills meeting notes into Bitable. Can that table link be customized? I want to consolidate all the company's meeting notes in one place.
Asked by · R***
李**:No, you can't.
李祥瑞:You can set the document's location before the meeting starts, and link the document.
宋**:Set up an automation that gathers the important meetings into one new table, same effect; when the data volume grows you'll want to sort it, consolidating the important ones into a knowledge base.
Q:In Bitable, how do you split the content within one cell into multiple rows, then extract the name, unit price, and quantity?
Asked by · 大*
木***:Loop-split it.
李祥瑞:Record what you want to split in one data table, then use a workflow to split it into another data table.
李*:Just use AI to recognize it, I've run into this before.
The problem now isn't a lack of information, it's too much of it; filter all the way down and it comes to who you trust庄**10:41 a.m.
114 messages 29 people 2433 characters

The Night 50K Rows Hit the Wall, and the Dream of Letting AI Run WeChat

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An uncatchable view count kicks off the day. From 万**'s zero-views mystery, to 陈**'s four-million... no, forty-thousand-row order sheet catching fire, to R*** being pushed by her business team to let AI take over WeChat and make phone calls, the whole day crackles with real business slamming into the ceiling of its tools. 木*** pours cold water bucket by bucket while still handing out fixes; 门*** drops a sparring-software link; Xiangrui flings out Kazike's AIHOT twice. No idle talk here, just people shoved forward by reality, hunting for a way out.

Timeline of the day
10:02 → 10:55
The Risk-Control Riddle 万**、木***、炮、R***、P***
Why does Douyin's view count always come back as 0

First thing in the morning, 万** tosses out a puzzle: in Coze, several plugins fetching Douyin video view counts all return 0, tried two and both came back empty. 木*** nails it in one line: risk control. Whether you scrape locally or through Coze, the risk control is there either way. 炮 piles on with the why, you can only grab public data, and view counts count as non-public, personal-account data. P*** suggests scraping with RPA, while R*** plugs a paid Feishu plugin, cheap, 10 credits for a dime per pull. In the end 万** makes his peace with it: the free route can't get view counts, so he'll just grab the likes and saves he can actually see.

10:34 → 08:47
Plugged Twice 李祥瑞、平***、陌***
The AIHOT that bottles three years of media experience goes public

Xiangrui drops a single line: this AI-news site that bottles up my three years of self-media experience is going free for everyone today. Right after, he recommends using Kazike's AIHOT to protect your attention. Early the next morning he posts the exact same line again, and 平*** raises a hand: why can't I open it. 陌*** spots the source, this is Kazike's AIHOT, right. One link, dug up and reposted by Xiangrui most of a day later, when it comes to attention, he's dead serious.

11:15 → 20:12
Lean on Get Note 醒*、朱*、门***
Rather than build it yourself, borrow Get Note's parsing power

醒* floats a lazy-genius philosophy: lean on Get Note's features to do the work, its link parsing is excellent, so automate by tapping Get Note's skills, isn't that way more stable than researching it yourself. 朱* asks curiously where you can find this. By evening, 门*** shows up to confirm it from experience: I found 龙虾 always tripping up trying to do this on its own, so I just used Get Note to pull out the text content and fed that to 龙虾. One word, stability, ties the two of them's practices together.

16:37 → 16:51
The 40K-Row Wall 陈**、木***、程**、松***
What to do when Feishu's 50K-row limit hits the wall

陈** throws out the soul-searching question: any workaround for Feishu Bitable's 50,000-row limit. 木*** fires off prescriptions in a row, split the table, pay up, switch software, WPS can hit a million, but once the data volume is big enough, stop considering any low-code platform and just use a proper database like an honest person. 松*** pours cold water, WPS lags just opening 500,000 rows. 陈** lays out the truth: for now it's forty-thousand-plus, adding a thousand a day, every order sits in these two tables, costing out margin SKU by SKU, no ERP yet. 木*** is stunned: a thousand orders a day with no ERP, that's seriously impressive, keep at it, this company will carry you to retirement.

19:55 → 20:00
Influencer Sample Ledger 大*、木***
Tracking influencer sample shipments with three tables

大* asks about a concrete job: I've got a sample table and an influencer table for shipping samples to influencers, how do I build something that shows whether a given influencer got a given sample. 木*** hands over the standard Bitable solution, log a record every time you ship a sample, then just link them. 大* pushes further, what about seeing which samples an influencer still hasn't received, how's that usually done. 木*** confirms, three tables. Question by question, the skeleton of a full influencer-sample ledger takes shape.

20:16 → 20:35
AI Takes Over WeChat R***、l***、李**
The business team wants AI to call and chat with clients on WeChat

R*** drops a bombshell: her business team told her to make AI call clients and chat on WeChat, and she flat-out says some of these big shots shouldn't grandstand so hard for the spotlight, it really hurts us folks on the front line. She stresses she wants something that's a real productivity tool, not a toy, something that replies to clients based on a knowledge base and scripts. l*** jumps in, of course it exists, it can even learn how you talk to clients and pick up your tone, I'm using AI for routine client maintenance, and a human steps in when a set keyword triggers. 李** offers a tip, Doubao can make calls, and R*** is half-terrified: Doubao can make phone calls now.

20:54 → 21:12
From Sparring to Support 门***、R***
Sparring software won't replace a human, taking over WeChat support is the real path

门*** posts the Skill Master link to set the name straight, then draws the line: this is just a sparring AI, fine if you want to train staff to talk like your top closer, but that's training software, not a replacement for a real person. R*** lays the reality bare, I can build that too, but the business wants AI to take over WeChat, and that part I don't know how to do. The thread lands on the technical path, deploy a bot to plug into WeChat customer service via API, and 门*** warns that the gray-market crowd doesn't fear bans because the accounts are worthless, the bottleneck isn't the tech. R*** leaves herself an exit in the end, for smart customer service it'd actually be fine.

Highlights of the day
木***
Quote Machine
Today's soul of the Q&A. Risk control, table splitting, three-table setups, ERP, the questions come one after another and the answers land sharp and precise. The line a thousand orders a day with no ERP is seriously impressive, keep at it, this company will carry you to retirement folds a roast and a cheer into a single breath.
R***
Voice of the Front Line
Pushed by her business team to let AI take over WeChat and make calls, her line don't grandstand so hard for the spotlight, it really hurts us on the front line speaks for countless people. Her ERP data is paid up to a million rows feeding a dashboard, she hasn't opened that table in ages, it just runs itself every day.
陈**
Wall-Hitting Pioneer
A forty-thousand-row order sheet on fire, adding a thousand more every day. Costing out margin SKU by SKU, no ERP yet, pretty grueling, he lays the real data anxiety of cross-border e-commerce bare and sets off the entire afternoon's discussion.
门***
Battle-Tested Guide
The evening's main force. Feeding 龙虾 through Get Note from firsthand experience, posting the Skill Master link, calling out that sparring software won't replace a human, and that for the gray market the bottleneck isn't the tech, every line comes from a pit he's fallen into.
李祥瑞
Attention Guardian
Flung out Kazike's AIHOT twice, hammering home protect your attention. Also teased that the Amap edition of 龙虾 has landed, his nice one here radiating excitement over a good tool.
l***
Already Shipping
On the matter of AI client maintenance, one of the few already running it for real. It can even learn how you talk to clients and pick up your tone, and a human steps in when a set keyword triggers, handing R***'s question a real-world sample.
万**
Opening Question
Opens the whole day with one uncatchable view count. From the puzzle, to tried two and both came back 0, to making peace with grabbing only likes and saves, a complete reenactment of tools running headlong into risk control.
Steal this · SOP
A few escape routes when Feishu Bitable hits the 50K-row wall
木***
  1. Split tables along a time dimension, e.g. break orders out by month into separate stores
  2. Pay up to upgrade your capacity quota
  3. Switch software, WPS can reach a million rows
  4. Once the data volume is big enough, stop considering any low-code platform and move to a proper database
  5. Before switching software, check first: are there duplicate records? Optimize data storage before anything else (added by 程**)
Tracking influencer sample shipments with Bitable
木***
  1. Build three tables: a sample table, an influencer table, and a shipment-log table
  2. Log one record in the shipment table every time you send out a sample
  3. Use link fields to map influencers to samples
  4. To see whether an influencer received a given sample, just query the link
  5. To see which samples an influencer still hasn't received, reverse-query across the three linked tables
Q&A
Q:Any workaround for Feishu Bitable's 50,000-row limit?
Asked by · 陈**
木***:Split tables or switch software, WPS does a million. Once the data volume is big enough, stop considering any low-code platform and just use a proper database like an honest person.
松***:WPS lags just opening 500,000 rows of data.
程**:That data volume is way too big, best to build a database. Or check whether there are duplicate records and optimize your data storage.
Q:Is there an AI tool right now that's a real productivity tool, chats business with clients off a knowledge base and scripts, and can even make phone calls?
Asked by · R***
l***:Of course there is, it can even learn how you talk to clients and pick up your tone. I'm using AI for routine client maintenance, and a human steps in when a set keyword triggers.
李**:Can't Doubao do it? Set up something similar and have it call clients.
门***:There's only sparring AI, which can train staff to talk like your top closer, but that's training software, not a replacement for a real person. To take over WeChat you deploy a bot that plugs into WeChat customer service via API, but the bottleneck isn't the tech.
Q:Why do so many Coze plugins fail to fetch Douyin video view counts, all returning 0?
Asked by · 万**
木***:Risk control. It's not that scraping locally has risk control while going through Coze doesn't, they all have it.
:You can only grab public data, and view counts count as non-public, personal-account data.
P***:Scrape it with RPA.
I think some of these big shots really shouldn't grandstand so hard for the spotlight, it genuinely hurts us folks on the front lineR*** 8pm, May 7
220 messages 38 people 3152 characters

Beating AI with AI: The Day Nobody in the Group Talked About Top-Ups

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The day kicks off around an AI companion called echo. Xiangrui shows off his self-built assistant, saying the goal is a partner that understands you better the more you talk to it, and the conversation immediately veers into how to install Claude Code, whether accounts get banned, and whether to go Plus or Pro on codex. A few times people try to drift toward VPNs and top-ups, but a single line from Xiangrui pulls things back to tech: don't discuss that in the group, staying safe comes first. By afternoon, teacher Jianwei's Shandong TV interview is flooding the feed, and his 254 AI employees become an instant meme. Late at night, Xiangrui drops a line from a plane: we've moved into Yizhuang OPC.

Timeline of the day
10:28 → 11:13
The Maker 李祥瑞、庄*、醒*、w***、平***
Xiangrui shows off his self-built AI companion echo, and friends ask if he really made it

First thing in the morning, Xiangrui drops two screenshots, saying he built an AI companion assistant drawn from his own practice, one that proactively makes connections. 庄** 醒** 原野, 萧阳 all fire back the same word: impressive. Someone asks whether echo is a note-taking app, and Xiangrui replies, it's the name I gave it, we built it ourselves. 平*** presses, you built the software yourself? Xiangrui says yes, I pulled together everything I wrote about in that article; the goal is an AI companion that understands you better the more you talk to it, and he tosses out that article on knowledge management for a one-person company run by a Gen-Z founder.

11:13 → 11:33
Install & Learn 李祥瑞、E***、庄*、旺*
Claude Code won't install and people fear bans, so Xiangrui teaches them to let AI solve it

E*** says his computer can't install Claude Code and he has no VPN. Xiangrui offers a fix: download trae, hand it the tutorial link, and let it install everything for you. 庄* admits, I'm just scared my account gets banned using CC, otherwise I'd already be all in. Xiangrui says, I've got a working method, give me a few days and I'll share it, personally tested and ban-free. 旺*, who just bought a codex membership, shows up asking for a tutorial. Xiangrui delivers the line of the day: the network setup I use for Claude Code, I got codex to sort out for me, beating AI with AI.

11:22 → 11:33
Stay Safe Rules 李祥瑞、K***、B***、旺*、消***
The chat slides toward top-ups and VPNs, and the group owner hits the brakes

K*** asks if anyone has a gift-card top-up channel for ChatGPT, and 旺* suggests a reselling platform or switching Alipay to the US. Xiangrui first points to Xianyu, then tightens up: don't discuss this in the group, staying safe comes first. B*** chimes in, no top-up talk, only tech. 消*** adds the kicker, there's a crackdown now, anyone who shares and gets caught is going in. Xiangrui says it twice more, drop the related topics, tech is fine, and steers the group back on track.

11:46 → 11:55
Budget Recipe 万**、K***、李祥瑞
Saving money with domestic models: flash costs under one yuan for two hours

Xiangrui posts a screenshot saying he's out of quota again. 万** offers advice: pair Claude Code with a domestic model, it's plenty for most cases, I use glm and just hit my weekly limit. K*** says he's on deepseek, and without heavy use he barely notices high token costs. 万** adds a real-world test: flash is genuinely cheap, two hours straight costs under one yuan, and once my glm plan expires I'll mix them too. A down-to-earth budget recipe with no buzzwords, just hard numbers and lived experience.

14:46 → 15:14
Workhorse Moment 杨**、李祥瑞、P***、李**、袁**
Teacher Jianwei's Shandong TV interview floods the feed, and 254 AI employees become the meme

Xiangrui forwards teacher Jianwei's personal interview on Shandong TV, headlined that all his employees are AI. P*** is curious whether the 254 AI employees are all rank-and-file or if there's any middle management. 李** jokes, why 254, is it just because there are only 254 IP addresses. 杨** plays along himself: to be precise, they're all grunt workhorses and I'm the only manager, Claude Code is the best of the bunch, and the 254 on the site just happened to make for a great close-up shot. He also reveals his folk remedy for AI hallucinations: cussing the model out and it instantly straightens up, I'm a ruthless boss.

20:02 → 20:29
Feishu AI Ledger 李祥瑞、谢***、旺*、卡*、🎵***
Feishu AI capabilities and pricing; the Bitable page-generation feature still isn't live

Xiangrui posts an article breaking down which Feishu AI features are worth it, which aren't, and how they're priced. 旺* asks what channel Feishu offers for hooking up Claude, saying he wants to analyze videos and rewrite scripts; 卡* notes you need the Feishu CLI, something like cc. 谢*** crunches the numbers while griping, how is the Feishu Bitable AI page-generation feature still not out. Xiangrui confirms it's still in beta. 🎵*** adds the key detail: apparently you need the AI Flagship edition to plug in custom models, and neither the nine-thousand-nine nor the ninety-nine-thousand plan cuts it.

22:19 → 22:45
Yizhuang Move-In 李祥瑞、q***、门***、枫**、杨**
Xiangrui announces from a plane that he's moved into Yizhuang OPC, and friends envy the local policies

Late at night Xiangrui snaps a photo of a guy vibecoding on his flight, and when asked what he's doing in Beijing, he says he's headed to the office, we've joined the Yizhuang OPC community, the vibe there is amazing. queeny is envious: last time we met, M*. Li was still mulling it over, and now he's already relocated. 门*** self-deprecates from Shenyang, asking about OPC policies: one district offers a one-time 500-yuan waiver, and the three northeastern provinces don't have a single Feishu T0 service provider. 枫** sums up the OPC spirit: over three years you qualify with at least 4 ideas, you're allowed to fail 4 times.

Highlights of the day
李祥瑞
Group Helmsman
He carried the day's main thread. Morning: showing off his self-built echo. Noon: the breakout line about beating AI with AI. He hard-pulled the chat back to tech several times whenever it slid toward top-ups and VPNs, and late at night announced the move into Yizhuang OPC from a plane. Builds the product and keeps the rules.
杨**
Workhorse Boss
The star of the Shandong TV interview. His 254 AI employees became a group meme, and he played along the hardest himself: they're all grunt workhorses and I'm the only manager, the cure for hallucinations is cussing them out, I'm a ruthless boss, with real substance buried in the self-mockery.
万**
Budget Strategist
A hands-on advocate for mixing domestic models. The numbers, glm's weekly limit, flash at under one yuan for two hours, all came from his own testing, and he also asked whether Yingshi Jufeng's five-minute auto data refresh is a workflow or a connector.
旺*
Question King
The newcomer's curiosity, embodied. From codex Plus or Pro, to how to hook Claude into Feishu, to whether the Bitable connector overwrites or appends, he fired off a chain of questions that drew out plenty of the veterans' hands-on experience.
q***
The Envious Voice
The most resonant voice in the Yizhuang thread. Her remark, last time we met M*. Li was still mulling it over and now he's already relocated, plus jotting down the four policies on the spot and a heartfelt us workhorses are so jealous, really drove home the weight of the move.
门***
Northeast Sigh
Pinpointed the regional gap with a single self-deprecating line. Asking about OPC policy from Shenyang, one district offers a one-time 500-yuan waiver I'm almost embarrassed to mention, and the three northeastern provinces don't have a single Feishu T0 service provider, a joke with real resource anxiety underneath.
B***
Rule Enforcer
Backed up the group owner with one key line just as the chat was about to veer off. No top-up talk, only tech, terse and clear, echoing Xiangrui's staying safe comes first to steady the group's tone.
Steal this · SOP
Can't install Claude Code? Let AI install it for you
李祥瑞
  1. Download trae
  2. Hand it the link to the install tutorial article
  3. Let it walk you through the install step by step
  4. The mindset: when you can't solve something, let AI solve it for you, AI always finds a way
A money-saving recipe for mixing domestic models
万**
  1. Hook Claude Code up to a domestic model, plenty for most cases
  2. Use glm day to day, but note it now has a weekly limit
  3. If you want cheap, go with flash, under one yuan for two hours straight
  4. After your plan expires, mix several models and switch by use case
Q&A
Q:Should I go Plus or Pro on codex, and is there a tutorial?
Asked by · 旺*
李祥瑞:Plus is usually enough for personal use
Q:With the Feishu Bitable connector, does the next day's sync overwrite the first day or append to it?
Asked by · 旺*
李祥瑞:It won't overwrite, it appends to the end
Q:What channel does Feishu offer for hooking up Claude?
Asked by · 旺*
卡*:The Feishu CLI, you need something like cc for it
🎵***:Apparently you need the AI Flagship edition to plug in custom models, and neither the nine-thousand-nine nor the ninety-nine-thousand plan works
The network setup I use for Claude Code, I got codex to sort out for me, beating AI with AI李祥瑞 · 11:20 am
84 messages 22 people 1969 characters

Scraping Douyin Data: Skill or Crossing the Line?

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There was little small talk in the group that day, just hard knowledge and sharp debate. From morning to night, topics passed along like a relay: first someone looking to hire help for batch image-making with Xiaohongshu automation, then a crowd tearing apart how to design a review workflow in Bitable, and then Xiangrui digging up the proper names for workflow shortcuts. By night, scraping Douyin data became the real star of the show, going from the thrill of a working setup to the legal red lines, as the friends laid both the excitement and the cool-headedness on the table.

Timeline of the day
10:46 → 12:47
A Call for Help 李祥瑞、有***、万涂幻象
An article on self-calibration leads into a request to hire a freelancer

In the morning Xiangrui dropped a piece about young entrepreneurs in the AI era calibrating themselves, and 有*** jumped in right away, leaving a confession many would relate to: I need to first show up in high-density spaces, then sincerely exchange value with others, and only then do opportunities slowly become frequent. At midday a member surfaced asking whether anyone took on workflow customization gigs, with very specific needs: batch image-making, matching images with text, plus Xiaohongshu automation. Vantasma stepped up, and after confirming it was a personal request, suggested laying the needs out in the open so capable people could come find them.

13:05 → 13:21
A Clean No 万涂幻象
Called out point-blank on whether they'd take the job, a crisp refusal

The member looking for help didn't beat around the bush, directly @-ing Vantasma to ask: do you take this? Vantasma was just as direct, firing back three words: we don't. A clean exchange, no superfluous courtesy. That candor actually saves trouble: the requester got their answer and could go find someone else willing to take it. A small episode that mirrors the group's style: no airs, if you've got it you've got it, if you don't you say so.

14:09 → 14:51
Agent Takes the Blame 门***、李祥瑞、木***
Feishu's aily gets roasted for misleading users into spending money

门*** asked whether Bitable's app mode required an enterprise edition of Feishu, and Xiangrui dispelled the doubt with a single it doesn't. 门*** cracked up on the spot, complaining that Feishu's aily had deliberately fooled him, either evil or stupid and expensive too, saying this bad agent just wanted him to spend money. The topic drifted to China Mobile officially announcing an AI-eSIM push, and Xiangrui mused that phone cards might someday call models directly. 木*** picked up the bit, joking that all data and calls would be billed by the token, and added a tip to buy a 35-yuan plan for convenience, otherwise even a single 2,000-line run would be unbearable.

16:17 → 16:28
Debating the Review Flow 朱*、木***
How to design a form-submission review process, dissected live by the group

朱* threw out a real-world need: after a form is submitted and recorded, have another person review it, enter it into the official table if it's fine, and notify the submitter to fix it if there's an error, repeating until it's right. The idea of one temporary table plus one official table came quickly, but 朱* said the hard part was that someone could keep making mistakes endlessly. 木*** zeroed in on the crux, pushing the problem upstream: this should really be considered a form-design guidance issue. He also split it into external and internal scenarios: external data collection you just have to accept, but an internal team is a people problem, and one or two mistakes shouldn't repeat. The takeaway was practical: within an internal team, it's better to simply open up the form for direct edits, which is more efficient. 朱* wrapped up with thanks.

16:35 → 18:44
Naming the Shortcuts 李祥瑞、木***、宋**
The terms field shortcut and node shortcut get dug up

Xiangrui posted a screenshot asking whether anyone had used workflow node shortcuts, and 木*** said hasn't this always been around. Xiangrui then drew a distinction: field shortcuts versus node shortcuts, names he only discovered when he first started writing for the public account. He also previewed that he'd write an article on how to actually choose between workflows and automation, and it went out that very day, two lines that settle it so you don't have to agonize after reading. 侯* gave a nod for professionalism, and 宋** left a teasing compliment: the group owner is as considerate as ever, a spoon-feeding-level guide.

19:32 → 22:43
The Joy of a Working Setup 万**、李祥瑞、木***、郑**、庄*
Free Douyin data scraping works, sparking calls for tutorials and resources

万** shared the good news: he'd just built a free Douyin video-data scraper using a workflow with Coze, after a long stretch of trial and error, admitting he genuinely couldn't have finished without AI helping fix the errors, since some regex functions he honestly didn't know how to write. 枫** cheered, sense of accomplishment up. 万** told the whole backstory: he'd stumbled on a free plugin, spent two days building the workflow to get it running, just to prove it out himself and see how stable the plugin was. 郑** followed up asking for a gpt-image2 API key, R*** asked if there was a tutorial to follow along, and 庄* tossed out a link. Xiangrui chimed in that he'd write a public-account piece sharing Douyin data scraping in the next couple of days, a topic he'd had in mind for days. 木*** offered a selection mantra: use Coze for convenience, RPA to save money.

22:36 → 23:26
Red-Line Warning 枫**、炮、李祥瑞、R***
Amid the excitement of scraping, someone throws cold water

In the thick of the buzz, 枫** dropped a line: Douyin's cybersecurity team is fighting back, and Xiangrui laughed it off. 炮 followed with a splash of cold water, saying scraping Douyin data with Coze is just a laugh, it's all data Douyin turns a blind eye to and lets through, and it could be killed off at any moment. A real concern hiding inside a joke. The group's excitement and reality's fragility stood in contrast, and no one could guarantee how long this road would hold. R*** paid none of it mind, leaving only a waiting on your piece, pinning the anticipation on Xiangrui's not-yet-published public-account article.

00:45 → 08:31
Who Owns the Data 刚*、万**、木***、炮、R***
The question of whose data you're taking gets hashed out

Late at night 刚* muttered that RPA was a bit complicated. The next morning the topic kept simmering: 万** mentioned that 影视飓风 keeps pushing its data dashboard, and felt the plugin ecosystem's power of life and death rests entirely with the platform, but surely you can't only let people see results without opening the path. 木*** cut to the chase: 影视飓风 is taking its own data, while you want to take someone else's, and those are two different things. 炮 spelled out the legal boundary more clearly: taking someone else's data is, at the mild end, a violation of platform terms, and at the deep end, depending on the data type, could violate information security law or even criminal law, with small volumes getting away with an IP ban or account ban, but large volumes getting very specific. R*** added that there are plugins that can scrape Douyin data, and 万** finally clarified that he too was taking his own data and moving it to the Feishu platform.

Highlights of the day
木***
The Dissector
The day's technical nerve center: on review flows he pinpointed it as a form-guidance issue, on data scraping he offered the mantra of Coze for convenience and RPA to save money, and in one line he separated your own data from someone else's as two different things. In every debate, his was the hammer that brought it down to earth.
万**
Frontline Doer
On his own, over two days, he got free Douyin data scraping working with a workflow plus Coze, candidly admitting he couldn't even fix the errors without AI. From sharing the good news to clarifying that he was taking his own data, he was the initiator and protagonist of the day's scraping topic.
The Cold-Water Guy
In the excitement of scraping, he took charge of throwing cold water, a single just-a-laugh pointing out that the data could be killed off at any time, and he spelled out the legal boundary from violating terms to brushing against criminal law crystal clear. The warning landed, and so did the sense of measure.
李祥瑞
Spoon-Feeding Owner
He answered questions all day long, turned how to choose between workflows and automation into an article published that same day, and was praised by 宋** as a spoon-feeding-level guide. He also previewed a public-account topic on scraping Douyin data, catching all the friends' anticipation.
朱*
Question King
He threw out the real-world need of how to design a form review flow, pressing layer by layer on what to do about repeated mistakes, pushing a seemingly simple question into a deep discussion of form guidance and internal-versus-external scenarios, then wrapping up with a polite thank-you.
有***
The Quotable One
He opened with the day's most relatable line: first show up in high-density spaces, then sincerely exchange value, and opportunities slowly grow frequent. Later he added that the course had covered regex-related content, which he'd just reviewed that morning.
门***
The Roaster
Misled by Feishu's aily into thinking Bitable required the enterprise edition, he opened fire once corrected, roasting this bad agent as either evil or stupid and expensive too, just wanting him to spend money, adding a touch of real, lively color to a tech group.
Steal this · SOP
How to Design a Form-Submission Review Process
木***
  1. Build one temporary table and one official table, keeping them separate
  2. Collect data into the temporary table first
  3. Sync to the official table once review is clear
  4. For repeated errors, first revisit the form design's guidance
  5. External data collection has to accept errors; an internal team is a people problem
  6. An internal team can simply open up the form for edits, more efficient than re-submitting
Choosing Tools for Scraping Douyin Data
木***
  1. For convenience, use Coze to build the workflow
  2. To save money, use RPA
  3. Be sure to take only your own data, moved to the Feishu platform
  4. Taking others' data mildly violates platform terms, and deeply may brush against information security law or even criminal law
  5. Small volumes get by with an IP or account ban; large volumes carry very concrete legal risk
Q&A
Q:What's the best way to design the review process and fields for form-submission records? What do you do when the submitter keeps making mistakes?
Asked by · 朱*
哈*:This is easy, just make an official table that's separate from the others. Or have AI correct it, there are plenty of ways
木***:One temporary table and one official table, collect into the temporary one and sync to the official one once it's clear. Repeated errors should really make you consider the form design's guidance. External data collection you just have to accept; an internal team is a people problem, and one or two mistakes shouldn't repeat. Internally you can fully open up the form for edits, it's more efficient
Q:How do you build a workflow to scrape Douyin data for free, and is there a tutorial?
Asked by · R***
万**:I happened to find a free plugin, spent 2 days building the workflow, and got it running in a test. Bitable also has a ready-made solution at one cent per record
庄*:https://wavespeed.ai/?ref=chen
木***:Use Coze for convenience, RPA to save money
:Scraping Douyin data with Coze is just a laugh, it's all data Douyin turns a blind eye to and lets through, and it could be killed off at any moment
I need to first show up in high-density spaces, then sincerely exchange value with others, and only then do opportunities slowly become frequent.有*** morning, May 5
46 messages 14 people 1014 characters

A Gentle Debate Over Random Quiz Banks and Miaoda

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On the tail end of the May Day holiday, the group was quiet, yet someone dove headfirst into a real problem. Z*** wanted to build a random quiz bank, and a single question pulled the thread of Miaoda into view. 宋** pointed people toward Feixingshe, 谢*** offered ChatGPT, ima, and Metaso as alternatives, while 哈* and 刚* bickered over whether paying for it was worth the money. In the afternoon, news that Doubao would start charging steered the conversation off course, and Xiangrui joked about being forced into a holiday. Late at night, a thorny puzzle about product consistency in e-commerce images surfaced, left hanging and unresolved.

Timeline of the day
09:06 → 09:24
The Quiz Bank Question Z***、哈*、宋**
Wanting to build a random quiz bank, but where to start

Z*** threw out the first question: I want to build a random quiz bank, any good approaches? 哈* answered crisply in a single word: Miaoda. Z*** wasn't sold, saying that whatever I build isn't what I actually want. That's when 宋** stepped in, reminding everyone that Daxian's tutorials cover it, where you enter the questions yourself and the system randomly draws them to generate a paper. Z*** pressed on, asking whether the entered questions could reference data in a Bitable, and 宋** shot back plainly: of course, where else would the data come from? A real need, this way, sharpened from vague into concrete.

09:25 → 09:36
Pointing to Feixingshe Z***、宋**、张**
Where's the tutorial? Search 'random quiz' in Feixingshe

Z*** kept pushing: where's the tutorial, share it, send a link. 宋** couldn't recall the exact article, so he taught the method instead: open Feishu's Feixingshe, type in 'random quiz' and give it a try, there are plenty of practical docs inside. He also dropped a little tidbit, noting that the group owner often gets recommended there, paired with a grin. Finally he tossed out the Feixingshe link and two images, adding that reading the popular creators' articles when you have time is quite rewarding. 张** fired off a firm 'got it.' Give a man a fish versus teach him to fish, and 宋** played this one just right.

09:39 → 09:40
The Alternatives List 谢***、哈*
For personal use with source docs, there's a lighter path

谢*** didn't follow the Miaoda thread, offering another line of thinking: if it's just for personal use and you have source documents, the quiz features in ChatGPT, ima, or Zhipu, or Metaso's study feature, are all very convenient, and he attached the links. 哈* immediately pulled the conversation back to the Feishu ecosystem: if you're in the Feishu ecosystem, Miaoda is obviously the better choice. One need, two value systems brushing gently against each other here, one prizing a handy tool, the other a closed-loop ecosystem. Neither convinced the other, but the options were laid out on the table.

09:41 → 09:44
The Paywall Debate 刚*、哈*
Do apps built with Miaoda cost money

刚* raised the question everyone cares about: apps built with Miaoda cost money, right? 哈* answered with nuance: there's a free quota, you can also set up user permission management, convenient both internally and externally, and if you can't get it to work it's your prompt that's off. 刚* pressed on the boundaries of 'free,' and 哈* spelled out the key point: users don't need to pay, it only consumes quota during the building and development. That line actually punctured a common misunderstanding, the cost sits at the development stage, not the usage stage, which, for a scenario where a whole group will use the quiz bank, is genuinely good news.

10:23 → 10:24
Doing the Cost Math 刚*、哈*
Compared to buying your own server, is Miaoda worth it

刚* still hadn't let go of the cost thread, returning over an hour later: paying for a Miaoda app doesn't feel cheap, compared to buying your own server. 哈* sealed it in three words: no comparison. This is a collision of two cost mindsets, one tallying the long-term server bill, the other tallying the savings of no ops work and out-of-the-box readiness. Behind that short 'no comparison' lies the old question between lightweight tools and self-building, and whether it's worth it has always depended on what you're using it for.

10:35 → 10:40
The Truth About Miaoda 宋**
Miaoda in an expert's hands and a novice's hands are two different things

宋** added the most clear-eyed note to this Miaoda discussion: Miaoda's decent in an expert's hands, but in a novice's hands it's a blind box. One line that pierces the truth of any tool, the threshold isn't in the tool itself but in the person using it. He went on to say it's still nice for things like a year-end party lucky draw or a classroom interaction segment with students, a lightweight and handy mini-app. Talk of lucky draws got him going: when it comes to lucky draws, is it written into the human genetic code? Either way it's a great trick for warming up a room, already battle-tested, both teachers and students love it, and the winner can stay happy all day.

14:07 → 14:19
Doubao to Start Charging 李祥瑞、🎵***、枫**
Doubao to add paid subscriptions, and the group's worries

In the afternoon Xiangrui dropped news that Doubao would be adding a paid subscription, with a line: Doubao's about to start charging, plus a facepalm. The group's reactions were down to earth. 🎵*** said charging is fine, the key is whether the money is worth the price, the real fear being a sudden 'oops, I was just making that up,' closing on a laugh-through-tears note. 枫** added the cut everyone dreads most: and then there's dumbing down the free version. Two lines that lay bare users' real anxiety about paying for AI products, not afraid to spend, just afraid of spending and still getting fooled.

22:55 → 06:02
The E-commerce Image Puzzle R***、炮、龙***、李祥瑞
Product consistency in e-commerce images, and a group rule

Late at night R*** tossed out a tough nut: can your e-commerce image work solve the product consistency problem? 炮 offered a professional fix: make good use of ComfyUI, ControlNet can solve it. 龙*** followed up, asking whether there's a way to pull store data and material data. The question carried over to the next day, and R*** confessed in the early morning that I don't know how to do either of these, with a laugh-through-tears. At six in the morning, Xiangrui also did some community housekeeping, calling out a member to fix their group nickname, with a reminder that any form of advertising is forbidden in the group, unless it brings value to the community members.

Highlights of the day
宋**
The Guide
The anchor of the day. From Daxian's tutorials to Feixingshe, he walked Z*** step by step to a place where things could actually land, and dropped the golden line: Miaoda's decent in an expert's hands, but in a novice's hands it's a blind box. The one who understands tools best.
Z***
The Question King
A single question about a random quiz bank ignited the whole day's discussion. What's rare is that he didn't settle for less: whatever I build isn't what I want, can it reference a Bitable, where's the tutorial, layered follow-ups that pushed the need into ever-sharper focus.
哈*
The Miaoda Believer
A champion for the Feishu ecosystem throughout. From Miaoda to user permissions to the payment model, he explained Miaoda's ins and outs most clearly, and 'if it doesn't work it's your prompt that's off' counts as a plain truth.
谢***
The Alternatives Strategist
Not one to follow the crowd. While everyone rushed toward Miaoda, he alone offered the lighter path of ChatGPT, ima, Zhipu quizzes, and Metaso's study feature, opening one more door for those who were torn.
刚*
The Cost Accountant
The most cost-conscious of the whole crowd. 'It costs money, right?' and 'compared to a server it's not cheap,' twice dragging the topic back to money, drawing out 哈*'s key explanation about free quotas and usage being free.
🎵***
The One-Liner
The most resonant line in the Doubao charging topic came from him: charging is fine, the key is whether the money is worth the price, the real fear being a sudden 'oops, I was just making that up.' One line that captures users' true anxiety about AI products.
李祥瑞
The Gatekeeper
The group owner's two sides. In the afternoon, sharing the Doubao charging news and joking about being forced into a holiday, down to earth; at six in the morning, stepping in to call out the advertiser, holding the community's bottom line of no advertising unless it brings value.
The Technical Fix
The only one to offer a hard solution to the e-commerce image puzzle. Make good use of ComfyUI, ControlNet can solve product consistency, one line pointing to the key technical path, a professional strike in the dead of night.
Steal this · SOP
An approach to building a random quiz bank with Feishu Miaoda
宋**、哈*
  1. Enter the questions yourself, storing the data in a Feishu Bitable
  2. Use Miaoda to reference the Bitable data, enabling random question draws to generate a paper
  3. Tutorial reference: open Feishu's Feixingshe, search 'random quiz,' there are ready-made practical docs inside
  4. Miaoda supports user permission management, convenient for both internal and external use
  5. Cost note: users don't need to pay, quota is only consumed during building and development, and there's a free quota
A lightweight alternative when it's for personal use with source docs
谢***
  1. If it's just for personal use and you have source documents, you don't have to go the Miaoda route
  2. Use the quiz features in ChatGPT, ima, or Zhipu to generate questions directly
  3. Or use Metaso's study feature (metaso.cn/study) to make quizzes
Q&A
Q:I want to build a random quiz bank, any good approaches?
Asked by · Z***
哈*:Miaoda. If you're in the Feishu ecosystem, Miaoda is obviously the better choice, plus you get user permission management, convenient both internally and externally, and if it doesn't work it's your prompt that's off.
宋**:It's in Daxian's tutorials, where you enter the questions yourself and randomly draw them to generate a paper, with the data referencing a Bitable. Open Feishu's Feixingshe and try typing in 'random quiz.'
谢***:If it's just for personal use and you have source documents, the quiz features in ChatGPT, ima, or Zhipu, or Metaso's study feature, are all very convenient.
Q:Do apps built with Miaoda cost money? Is it worth it compared to buying your own server?
Asked by · 刚*
哈*:There's a free quota. Users don't need to pay, quota is only consumed during building and development. Compared to buying your own server, there's no comparison.
Miaoda's decent in an expert's hands, but in a novice's hands it's a blind box.宋*** 10:35 AM, May 4
89 messages 23 people 2512 characters

Coze or Feishu? The Group Owner Open-Sources a Data Scraper

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The group didn't take a break over the May Day holiday. A simple "Coze or Feishu" tool-selection question reeled in a whole string of hands-on debate. Xiangrui casually dropped an open-source Skill that scrapes a public account's full article data and auto-generates chart reports, and the group fired off three "awesome"s in a row. Midway, someone pasted a scammy website link and got shut down by the group owner in a single sentence. By evening the talk shifted to how to push digitalization and how to automate recruiting, and 宋**'s long-termist creed of "never force anyone" had plenty of people nodding.

Timeline of the day
09:58 → 10:02
Too Real to Tell 有***、门***
That Video Was So Good It Got Mistaken for AI

The holiday morning opened with an exclamation. 有*** said it was so impressive, at first thought it was an AI-generated video, turns out it was real. 门*** chimed in, watched it yesterday too. A video that's hard to tell real from fake became the group's first topic of the day, and it set the tone for May Day: in everyone's eyes, the line between AI and reality is getting blurrier.

11:25 → 12:07
Tool Showdown °***、M***、炮、门***
Coze or Feishu, Which One for Image-Text Work

An operations person in the group threw out a real need: has anyone used Coze plus Feishu Bitable to batch-generate Xiaohongshu images. M*** immediately steered people away from Coze, saying these days you rarely need it, it burns through resource credits fast, Feishu alone can handle the scraping and image-text work. 炮 added an objective note: Coze workflows offer stronger controllability, but the build skill required is higher too. 门*** recommended fieldshortcut, saying the team actually partners with Feishu itself. One question, three perspectives.

12:28 → 12:35
The Pragmatists M***、郑**、门***
For Real Deployment, Feishu Workflows Are Steadier

郑** said he'd just started learning Coze and asked if anyone could share Coze materials, also griping that Feishu's available models are limited, banana used to work but now it doesn't. M*** gave the pragmatist's core verdict: learning Coze when you have time is a good thing, but for real deployment, building a Feishu workflow is better, fully controllable end to end, no redoing the whole thing every time it errors out, no toggling between multiple app pages. 门*** drove it home: if you use Feishu a lot, setting up field shortcuts is enough.

12:49 → 12:55
Clear the Floor M***、李祥瑞、吴*、郑**
A Scam Link, Banned by the Owner in One Sentence

Someone pasted a link to a learning site bundling a banana GPT plugin for as low as 0.1. Xiangrui reacted fast, let's not recommend Mihe AI here, then laid down the rule: don't promote it in the group, you can recommend genuinely valuable things, but links to scammy sites are flat-out banned. 吴* fired off three "awesome"s. 郑** weighed in too: even though he'd just gotten into AI, after years in e-commerce he still had the basic ability to judge the value of information. A small floor-clearing that locked in the group's bottom line.

14:32 → 14:51
Open-Source Moment 李祥瑞、万**、R***、覃**
A One-Line Skill to Scrape a Public Account's Full Data

In the afternoon Xiangrui dropped the goods: built a Skill that directly scrapes public account article data and analyzes the articles, no API needed. 万** immediately followed up on whether it could grab Video Account data; Xiangrui said not yet, but he'd try in a bit and it should work. R*** asked if it could scrape the body text, and the answer was yes, and other people's public accounts too. 覃** asked which tool to use, and Xiangrui said anything works as long as it can call Skills properly. 庄* fired off three "awesome"s in a row.

18:14 → 18:23
Group Portrait 门***、李祥瑞
This Group Is a Hub of Heavy Feishu Users

门*** noticed this group has lots of operations people, the main force of Bitable users, and confessed that even among headhunters few know Bitable, so he's hard at work talking them out of Excel. He suggested Xiangrui survey the occupation distribution, saying with your follower count it already has statistical significance. Xiangrui replied that the group is basically all heavy Feishu users, he had indeed done some small-scale analysis, and had also built a profile of the public account follower base.

18:54 → 19:08
Long-Termism 门***、宋**、逐***
Pushing Digitalization, Hard or Not

门*** posed a soul-searching question: is it that programmers dislike DingTalk and Feishu, his tech lead absolutely refuses to use Bitable. 宋** offered a whole methodology: path dependence, no breaking means no building, let them be, he aims at newcomers and the few digital pioneers, keeps sharing one or two times a week into cloud docs, and those meant to learn will learn naturally. 逐梦七七 shared a counterexample: their planned all-hands event hit 80% participation. Two playbooks, one soft and one hard.

19:09 → 19:16
Cracking Recruiting 周**、宋**、李祥瑞
Can AI Recruiting Take Down BOSS Zhipin

周** pulled the topic back to headhunting home turf, asking 门*** whether AI recruiting plus a Bitable template could possibly take down BOSS Zhipin, with the AI angle right up your alley. 宋** went along and asked for help: who has mature experience with Feishu-based recruiting automation, frankly admitting that the few aunties from the third-party training couldn't be taught no matter how many times, the real issue being they don't want to learn. Xiangrui added that they'd shared 一亮's solution last year. The pains of the home trade, discussed in very real terms.

Highlights of the day
李祥瑞
Open-Source Anchor
No holiday off. In the afternoon he dropped an open-source Skill that scrapes a public account's full data in one line and auto-generates chart reports. More crucially, he set the rules, banning scam links in a single sentence and guarding the group's value baseline.
M***
The Pragmatist
The clearest voice in the tool showdown. He nailed Coze's pain points in one line, fast resource burn and a full redo on every error, while real deployment stays more controllable on Feishu workflows. He never disparages tools, just speaks from hands-on feel.
宋**
The Long-Termist
The go-to for digitalization-push one-liners. Path dependence, no breaking means no building, never force anyone and refuse anxiety yourself, sticking to long-termism and doing what you believe is right. He locks his target on newcomers and digital pioneers, sharing weekly into cloud docs.
门***
King of Questions
The most active questioner all day. From Feishu doc cursors jumping around, to occupation distribution surveys, to why programmers resist Bitable, he threw out one real question after another. He also confessed to hard-selling headhunters on dropping Excel.
周**
The Breakthrough Thinker
The one who takes small talk deeper. A single "can AI recruiting take down BOSS Zhipin" lit a fire under fellow headhunters, urging everyone to find the sweet spot where professional background meets AI.
The Impartial Judge
A rare neutral take in the tool debate. One line, Coze workflows offer stronger controllability but demand higher build skill, no taking sides, just laying out the real costs on both ends.
逐***
Hands-On Counterexample
In the long-termism debate he offered a sample that hard-pushing can also work. A planned all-hands event hit 80% participation, getting the team to proactively find business pains and embrace AI, proof that when the method is right, the enthusiasm follows.
Steal this · SOP
Choosing Your Stack for Image-Text Automation on Feishu
M***
  1. First get clear on learning vs. deploying: to systematically learn Coze, hit Douyin or Bilibili, but for real deployment prioritize Feishu workflows
  2. Why pick Feishu for deployment: fully controllable end to end, no redoing the whole chain on every error, no toggling between multiple app pages
  3. If you use Feishu often, set up field shortcuts first, and many scraping and image-text needs get solved on the spot
  4. Reserve Coze for complex workflows that demand higher controllability, but accept the steeper build-skill barrier
Pushing Digitalization in a Resistant Organization
宋**
  1. Acknowledge that path dependence objectively exists, don't force it hard, avoid triggering resentment
  2. Lock your rollout target on new hires and the few digital pioneers, don't chase full coverage
  3. Keep up one or two personal shares a week, distilling them into cloud docs, and let those meant to learn come on their own
  4. Build a learning group, drop good resources in, whoever wants to read reads, never force
  5. Refuse anxiety yourself too, stick to long-termism, and do what you believe is right
Q&A
Q:For Coze plus Feishu Bitable to batch-generate Xiaohongshu images, should you use Coze or Feishu
Asked by · °***
M***:These days you rarely need Coze, it burns resource credits pretty fast, Feishu alone can already handle some scraping and image-text work
:Coze's workflows offer somewhat stronger controllability than Feishu, but the build skill required is higher too
M***:If you really want to deploy it in practice, I still think building a Feishu workflow is better, more controllable throughout, no redoing the whole thing every time it errors out
Q:What can this public-account data-scraping Skill grab, and which tool do you use it with
Asked by · 覃**
李祥瑞:It can directly scrape public account article data and analyze the articles, no API needed, and it can also scrape other people's public accounts
李祥瑞:As long as you can install Skills and call them normally, anything works
Never force anyone, refuse anxiety yourself, stick to long-termism, and doing what you believe in your heart is right is enough宋*** evening of May 2
36 messages 13 people 911 characters

A Liberal-Arts Major Gets Hooked: The Group Talks Feeding Books to AI

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Day two of the May Day holiday. The group is quiet, but a few solid conversations stand out. 门*** opens with a self-introduction, calling himself a pure liberal-arts major who got hooked starting from a little IT-learning tool and now runs Claude Code, no longer queuing up engineers for his ideas. In the afternoon, 大* throws out a real question: how do you turn a book into a skill so the recall actually works? That leads to 8-0-0's Mao-Selected-Works distillation method. 覃** comes by with a Feishu Bitable meeting-minutes question and gets it solved on the spot. A holiday group: quiet, but never empty.

Timeline of the day
10:23 → 10:30
Liberal-Arts Manifesto 门***
A new friend checks in, sharing the Digital Field-Researcher workflow

门***'s first words after joining thank the group owner for saving him a seat among such limited membership slots. He introduces himself: he's been exploring Feishu Bitable plus all kinds of 龙虾 add-ons, layered onto his team's Digital Field-Researcher product workflow, and wants to swap notes and learn from everyone. Talking about GPT generating images directly, he adds a hands-on tip: ordinary characters work, but rare characters don't, he tried 瓴羊 and it spat out 瓷羊 instead. One concrete little pitfall, far more useful than vague praise.

10:41 → 10:51
Confession of an Addict 门***、有***、醒*
From a liberal-arts major learning IT tools to no longer queuing up engineers

门*** recounts how he got here: he first used AI to design a must-have tool for liberal-arts majors learning IT, and that's when he got hooked. Now he runs Claude Code and no longer calls engineers to schedule his ideas. That line hits a nerve with quite a few people, 有*** fires off three straight "awesome"s. He also teases his old acquaintance 醒* in the group, haha you're here too, next time there's a good group like this pull me in early, I almost didn't make it in. A light remark that makes his gratitude at getting in feel very real.

16:10 → 16:19
Holiday Consultation 覃**、8***
Can Feishu Bitable auto-save meeting minutes?

覃**shows up with two concrete questions for Xiangrui, first wishing everyone a happy May Day. Question one: after a Feishu group meeting generates smart minutes, can you @ a bot to save them into a Bitable in a set format? Question two: can a bot record the group's daily chat, summarize it, and post it back to the group? 8-0-0 fields them fast, the first one you configure by finding the work recipe in the workbench, the second one uses the smart companion. One question, one answer, crisp and clean, and 覃**thanks him over and over.

16:19 → 16:26
The Book-Feeding Puzzle 大*、门***、R***
Turning a book into a skill, but the recall is mediocre, what now?

大* throws out the most chewy question of the day: if you want to turn a book into a skill, say converting The Almanack of Naval Ravikant straight into markdown, the recall is mediocre, how does everyone usually handle this? 门*** first asks back what "recall" even means, then casually mentions hearing about a 女娲 skill that can distill anything. R*** raises her hand to second it, saying she also wants her agent to learn from some books. One puzzle pulls in three people, exactly the group at its best.

16:24 → 16:25
The Four-Quadrant Method 8***
The Mao-Selected-Works distillation method: one idea per chapter, split into four quadrants

8-0-0 offers up his own battle-tested approach. His method for distilling Mao's Selected Works is to pull one idea out of each chapter, then split it into four quadrants, so you map straight to a way of thinking, and he even drops a Feishu doc as a demo. He nails the key point in one line, there's no need for every piece of content to be a full markdown document. From copying the original text wholesale to structured distillation, that's exactly the answer to 大*'s question, read the book thin before feeding it to AI.

16:26 → 16:31
The Soul-Searching Question 门***、陈**
AI learned these books in pre-training, so why can't it put them to use?

门*** follows up with a deeper question: everyone says AI holds the wisdom of human experts, so these books should already have been learned during pre-training, right? He offers his own guess, could it be that we just aren't using prompts well, so we can't draw out AI's power? A liberal-arts major's persistence pulls the topic from how to feed books up to whether AI actually understands anything at all. 陈**, looking on, marvels at how many heavyweights are in the group.

Highlights of the day
门***
The Hooked Humanities Major
Today's leading voice. He introduces himself on joining, shares his GPT rare-character pitfall, confesses his journey from a liberal-arts tool all the way to Claude Code and no longer queuing engineers, and tosses out two soul-searching questions about AI learning from books, carrying half the group on his own.
8***
The Pragmatist
Today's problem-solver. He answers 覃**'s Bitable question in two lines, and for 大*'s book-feeding puzzle he drops the Mao-Selected-Works four-quadrant distillation method plus a demo doc, his one line, no need to make everything markdown, cuts to the heart of turning a book into a skill.
大*
Good-Question Machine
His single line, turning a book into a skill but the recall is mediocre, how to handle it, asked the most valuable question of the day and drew a relay from Michael, R*** and 8-0-0. A lively group is ignited by good questions.
覃**
Holiday Consultation Champion
Over the May Day holiday he comes in with concrete scenarios, auto-saving meeting minutes into a table and daily summaries of chat records, both very down-to-earth needs. He asks clearly and thanks sincerely.
R***
Kindred Spirit
Her one line, same here, I also want my agent to learn from some books, looks like a simple echo but voices the same longing many lurkers share, giving the book-feeding topic even more resonance.
Steal this · SOP
A Distillation Method for Turning a Book into a Skill
8-0-0
  1. Don't convert a whole book straight into a full markdown document, the recall is mediocre
  2. Split by chapter, distilling one core idea or method from each chapter
  3. Sort the distilled content into four quadrants, building a structured map
  4. When using it, map directly to a quadrant to find the way of thinking, rather than full-text search
  5. Already practiced on Mao's Selected Works, you can reference its Feishu doc demo structure
Q&A
Q:If you want to turn a book into a skill, say converting The Almanack of Naval Ravikant straight into markdown, the recall is mediocre, how does everyone usually handle this?
Asked by · 大*
8***:I distilled Mao's Selected Works, my approach was to pull one idea from each chapter, then split it into four quadrants, mapping straight to a way of thinking. You can borrow this approach, there's no need for all content to be a full markdown document.
门***:What does "recall" mean? I heard there's a 女娲 skill that can distill anything.
R***:Same here, I also want my agent to learn from some books.
Q:Can Feishu Bitable auto-save meeting minutes into a table, and post a daily summary of group chat records back to the group?
Asked by · 覃**
8***:Yes. For the first one, go to the workbench and find the work recipe to configure it; for the second, use the smart companion.
At the very start I used this to design a must-have tool for liberal-arts majors learning IT, and that's when I got hooked. Now I run Claude Code, and I no longer call engineers to schedule my ideas.门*** morning of May 1
468 messages 58 people 10787 characters

From the Limits of Feishu to the Birth of "Can't-Get"

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The day before May Day, a single question , "what pitfalls should you dodge when building a business system on Feishu?" , set the whole group ablaze. The debate ran from data-volume ceilings and security red lines to whether AI coding could replace software altogether, then got hijacked by a joke into a brand-new shape of paid knowledge. In the end the friends half-seriously cooked up a product called "Can't-Get," shouting to be cloud shareholders and waiting for Dedao to come buy them out. Lofty theory, grounded landing , the group owner only replied, "All I've really done is register the domain."

Timeline of the day
10:43 → 10:57
The Boundary Question 张**、李**、木***、T**、醒*
Building a business system on Feishu , which pitfalls do you have to dodge up front?

张** opens with a question: what hard limits must you plan for when building a business system on Feishu? 木*** draws the line right away , if your data volume is big enough, don't mess with Bitable, just go straight to a proper professional system. 李** pushes back: enterprise systems routinely cost millions, and plenty of money gets spent before anyone's even thought it through; Feishu is perfect for small-scale validation. T** throws cold water , larger companies can't even clear the security review to run Feishu; it comes down to the top leader's resolve, and if the foundation isn't laid, nothing can save you. 醒* adds that Feishu is ideal for startups, dirt cheap, and migrating later isn't all that hard.

10:55 → 11:23
Crunching the Scale 木***、松***、周**、宋**
Bitable's data ceiling and its real value

木*** drops his rule of thumb: past ten thousand rows, speed drops off noticeably, and once you have a lot of users, permission management is bound to descend into chaos. 宋** counters that for companies in transition the volume problem isn't urgent , just put one Bitable per year in the same space and you've cracked it. 周** trots out his recurring metaphor: running a single stall, it makes no real difference whether you use a tool , a small boss can do the math with a single pen; only when you scale to fifty or five hundred franchises does the tool's value show. 松*** ribs himself for still being stuck at automation plus data entry plus visualization, struggling even to batch-change field types.

10:45 → 11:11
Career Anxiety 李**、木***、醒*
Will AI really replace us?

李** forwards a chart on which jobs AI will hit, kicking off the replacement debate. 木*** offers a gentle verdict: every industry and every job, plus AI, will spawn new professions , nothing vanishes entirely. The thread slides toward AI coding, and 木*** warns anyone without a programming background to steer clear: small-scale tests are fine, but production scenarios will most likely crash. 醒* disagrees , in the AI era you should try every unfamiliar field, and the gap between those who can learn and those who can't will only widen. The line that those who can even use Bitable have already pulled ahead of plenty of people put the anxiety to rest for now.

11:28 → 12:02
The Early-Bedtime Debate 李祥瑞、D***、醒*、周**
The owner says go to bed early, and gets turned into a content topic

Duke makes his pitch , a Feishu training ecosystem service provider , inviting everyone to become certified instructors and monetize, repeatedly calling out DM me. Xiangrui steps in to tap the brakes: let's not hard-sell this; those with the ability will reach out naturally. The owner then tosses out a line about everyone absolutely going to bed early and never staying up late, and 周** catches it instantly: use Bitable well and you sleep early, your health soars , maybe that's the next marketing hook. Xiangrui laughs and concedes it really could make a decent content topic.

12:31 → 12:57
The Boss Steps In R***、周**、D***、醒*
When the boss pushes AI personally, what employees actually face

R*** spills that her own top leader has jumped in personally, dragging her into discussions at midnight, wanting to feed years of work logs, Feishu docs, and meeting minutes all into AI , first to reduce information silos between business lines, then to make tacit knowledge explicit. Duke judges that on the enterprise side, what creates the gap is one's understanding of AI: single-point efficiency gains are easy, the hard part is system-level optimization. 醒* sighs that when the boss doesn't get AI, the employees beneath suffer most. R*** says they're in heavy-asset manufacturing playing a light-AI hand , even dozens of failed attempts barely cost anything, and the plan is to arm themselves with AI to cross into the next cycle.

13:04 → 13:24
Can't-Get 万涂幻象、周**、R***、醒*、李祥瑞
A joke grows into a product

Vantasma quotes Luo Zhenyu: in the AI era you have to turn yourself into a product , ten years ago Luo built Dedao ("Get"), so in today's AI era why not build a "Can't-Get." One sly grin emoji, and the whole group ignites. R*** fires back instantly: you can't get it here, only by coming do you get it; if you want to get it, hop on the Can't-Get App , anyone funding this? Let's launch the angel round. 周** delivers a lengthy proof of feasibility: do only one percent of the work, hand the remaining execution to AI. 醒* says let's whip up a little toy; R*** cries we're all cloud shareholders. Xiangrui replies, breezy as ever: all I've really done is register the domain.

13:27 → 13:42
The Dictionary Method R***、朱*、l***、李祥瑞、平***
Template kits and courses , how to use them without wasting them

R*** admits she bought the owner's template kit and heavily rewrote it once she got it back , but what it gave her was a way of thinking, sparing far more labor cost than starting from scratch. 朱* shares a dictionary-style method: treat the owner's course as a reference book , first skim the illustrated version fast to get the lay of the land, then practice; whenever stuck, flip back to the course like a dictionary, then the knowledge base, and only last ask the owner. l*** wants to build a CRM in Bitable but fears it's hard; the owner cuts to it , the hard part isn't the table, it's getting the business logic straight. 平*** adds that getting AI to boost efficiency is easy; the hard part is not knowing where to boost it.

15:27 → 18:02
Image-Gen Hell 余*、袁**、菜**、Q***、R***
AI image generation feels great , editing the images is the real torture

余* asks which AI image generator is best right now; 袁** throws out gpt image 2, and N*** finishes the combo with midjourney v7. Q*** chimes in with one made in Cherry Studio. The most painful tale is 菜**'s , image2's output gets the weekdays and dates mismatched, nearly ten revisions in and still wrong, and the line image gen is easy but editing is hell says it all; in the end they give up and PS it by hand. R*** also asks for help , how to make an AI bag-display video , and 旺* teaches it in three steps: feed the video to AI for reverse-engineering, screenshot the product frames, then toss it all to Jimeng.

Highlights of the day
周**
Quote Machine
The most talkative, most long-winded person all day , from the market-stall metaphor to 95 classmates copying homework, to writing out a whole business case for Can't-Get. His line that using Bitable well means an early May Day holiday turned a serious discussion into a jingle.
醒*
Sober Voice
Repeatedly dragged the topic back to reality: in the AI era, whether you can learn decides the gap, and create value before talking about earning. The line that obsessing over money is exactly why you don't make it, and for making money just look to the owner, was the day's most grounded footnote.
R***
Top Leaker
Outed her top leader for dragging her into AI talks at midnight with tokens to spare, bringing a real enterprise-rollout scene right into the group. Also the fastest to catch the Can't-Get bit , funding, cloud shareholders, waiting to be acquired, all in one breath.
李祥瑞
The Anchor
Tapped the brakes twice , waving off the hard-sell DMs and reminding everyone to sleep early instead of staying up. When friends egged him on to build the product, he only replied all I've really done is register the domain, bringing the hype back to earth, and pointed out that CRM's difficulty lies in the business logic, not the table.
朱*
Study Method
Offered up a dictionary-style learning method , treat the course as a reference book, escalating from illustrated reading to practice, to dictionary look-ups, to the knowledge base, to the owner. The line that running a 40-plus-lesson template only a few times wastes such a great learning resource is something only the truly diligent would say.
菜**
Editing Victim
Driven to the brink by image2 , weekdays and dates mismatched, nearly ten revisions in, finally retreating in tears to PS it by hand. The line image gen is easy but editing is hell voiced the pain of every AI image creator today.
D***
Pragmatic Advisor
A Feishu training ecosystem service provider , though the owner reminded him not to hard-sell, he contributed the day's most substantial insight: building a Bitable is essentially consulting work , understanding the business and translating it into online tables.
万涂幻象
The Spark
With one line , build a Can't-Get for the AI era , flipping Luo Zhenyu's Dedao ("Get") on its head and personally igniting the day's hottest product fantasy. Ten years ago the mobile internet had Get; now the AI era has Can't-Get.
Steal this · SOP
The Dictionary Method: Treating a Course as a Reference Book
朱*
  1. First read only the illustrated version, skimming it fast so you have a clear sense of what Bitable can do and where each capability sits in the course
  2. When you hit something that's genuinely important but you don't understand at all, then go look at the corresponding template table
  3. Once you've skimmed it, jump straight into hands-on practice
  4. Whenever you're stuck during practice, flip back to the course like a dictionary
  5. Still stuck? Ask the course knowledge base
  6. Still no luck? Take it to the group and ask the owner
Recreating a Product-Display Video with AI in Three Steps
旺*
  1. Feed the target video to AI to reverse-engineer the frames and prompts
  2. Screenshot the product frames you want
  3. Toss them together with the reverse-engineered results into Jimeng to generate
Q&A
Q:When building a business system on Feishu, what risk points do you need to consider , that is, what issues must you plan for up front because of Feishu's own functional limits?
Asked by · 张**
木***:If it's for enterprise use, first consider your business data volume. If it's big enough, don't even consider Feishu Bitable , just go straight to a proper professional system. Once row counts hit ten thousand or more, both speed and efficiency drop sharply, and with too many users you'll inevitably run into chaotic permission management.
李**:Enterprise use still needs small-scale validation, and Feishu can help you do exactly that. Validate first, and once there are no problems, then spend the money on a system , many systems cost a fortune, easily running into the millions. Feishu also can't replace a dedicated business system.
T**:When a larger company actually tries to adopt Feishu, it can't even clear the security review. It comes down to the top leader's resolve , if the foundation isn't laid, Feishu can't fix that either.
醒*:Feishu is great for startup teams , dirt cheap. And if you need to migrate later, it's really not that hard; building software is, after all, basically just moving the data over.
Q:Is there a ceiling on data volume , roughly at what scale do you need to switch to professional software?
Asked by · 张**
木***:Once row counts reach ten thousand or more, both speed and efficiency drop sharply.
宋**:The volume problem isn't urgent for companies undergoing digital transformation. If things really do slow down, you can crack it by leveraging Feishu Bitable's space , it's just a matter of putting one Bitable per year in the same space.
张**:A single table caps at 50,000 rows; past 50,000 you get an expansion screen, and clicking in shows the upgrade pricing. We looked before , it starts at 500,000 rows, and as I recall it was a few thousand yuan a year.
Q:Which AI image generator is the best to use right now?
Asked by · 余*
袁**:gpt image 2
N***:gpt image 2 paired with midjourney v7
Q:I'm trying to get my AI to learn Bitable , has anyone given this a shot?
Asked by · l***
李祥瑞:It's doable, but it can only build a demo. We've been trying all along, and even with the best model the result is still just a demo.
Be genuinely altruistic , share content that's valuable to users, and the money follows. Earning is the end result; fixate on the money and you won't make it.醒** midday April 30
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Late Night, a Whole Crowd Loses Sleep Over AI

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The day's group portrait was lit up by a poem. Xiangrui rolled out the "Write a Poem for AI Pioneers" game, and Bitable, Lobster, and Claude Code took turns in the spotlight. R*** K***, and 杨** each showed off their own poem cards, the screen flooded with thumbs-ups and sly grins. But as the buzz stretched to midnight, the topic took a sharp turn. Someone dropped a joke about coders being the ultimate "death wish," someone said they'd been losing sleep for a whole month, someone asked what really sets Coze apart from Lobster. On one side, the thrill of new tools; on the other, the anxiety of a curriculum that never ends. Two moods tugged back and forth across the same night.

Timeline of the day
20:40 → 20:43
Screen Full of Likes 李祥瑞、第***、辛*
One system message draws a screen full of thumbs-ups and emoji

As evening fell a single message popped up, and dozens of people raised their thumbs almost in unison. Thumbs-up, the grinning-cat sticker, smirks, sly laughs, the emoji rolled down like a waterfall. 第*** fired off two thumbs-ups in a row, while R*** left a line hoping to learn something good, paired with a grinning cat. R*** simply went +1. Nobody said much, but that swarming warmth had already pushed the day's opening mood to its peak.

20:43 → 20:43
Opening Question 郑**
郑**wants a case for batch-generating e-commerce images

Amid the buzz, 郑** threw out a far more concrete need: is there a case study where Bitable batch-generates e-commerce images, something to learn from? The line landed like a small pebble, asking about real, hands-on application rather than just joining the fun. No one caught it right away, yet it quietly named this group's most grounded truth, everyone comes here, in the end, to put AI to work in their own jobs.

22:48 → 22:55
Friends Through Poetry 李祥瑞、R***、K***
AI-written poems spread through the group

Near eleven at night, Xiangrui showed off an image, joking self-deprecatingly that the poem AI wrote was actually pretty good, haha. R*** followed with her own, laughing through tears that she couldn't quite understand it but it was rather poetic. K*** generated one too, posting an image with a smirk. R*** teased that she looked like a heavy Bitable user, and K*** admitted she used Bitable a lot but still wanted to learn things like Claude Code from everyone. A single poem turned the barrier of tools into the joy of dropping by.

22:55 → 22:56
Hand in Hand 李祥瑞
Xiangrui shares the exact prompt for generating cards

Seeing everyone having such fun, Xiangrui just handed over the recipe. He said if you use Claude Code deeply, copy the skill instruction to it and it'll generate the card, Lobster works too. Then he pasted the full incantation: I'm taking part in the "Write a Poem for AI Pioneers" activity, combine it with my Feishu work context, read that skill link, and follow the guide to finish the activity. One line turned the fun into homework anyone could copy.

23:02 → 23:02
Distillation Mindset R***
R*** distills company capabilities into a skill

Picking up the thread, R*** spoke about her own practice. She said I'm doing this too, I've distilled the company's capabilities, a new agent just learns the skill and can run the business straight away, ending with a laugh through tears. Just one line, yet it revealed a deeper layer of play: the poem card is only the entry point, the real craft is sedimenting human experience into something an agent can inherit. It was the weightiest stroke of the night.

23:09 → 23:16
Coder Self-Mockery 侯***
The most death-wish moves of the past century-plus

As midnight neared, 侯*** pasted a joke making the rounds: the most death-wish life choices of the past hundred-odd years, studying the eight-legged essay in 1905, becoming a eunuch in 1911, joining the puppet Manchukuo in 1945, signing up for the Nationalist army in 1949, and to add one more, entering the software industry as a coder in 2026. The mood slid from excitement to wry humor in an instant. It was a joke, yet it pricked the quiet unease many in the room felt about where the industry is headed.

00:00 → 00:08
Late-Night Insomnia 王*、l***、庄*
An AI you can never finish learning keeps you awake

Past midnight, the anxiety surged in for real. 王* sent off several lines in a row: scared of being left behind by the times if you don't use AI, but it's impossible to ever finish learning it, I've felt like I've been losing sleep this whole past month, the learning never ends. l*** chimed in, you wake up and AI has evolved again. Just as the mood threatened to sink, 庄* calmly offered a line: learning enough to solve your own problem is enough. One sentence, like a window thrown open in a room full of restlessness.

00:04 → 00:11
The Tool Question 大*、l***
Coze, Lobster, Claude Code, how on earth to choose

Beyond the anxiety, some kept calmly probing the tools themselves. L** asked what the difference is between Coze, Lobster, and Claude Code. 大* tossed out a rather philosophical line: as long as we learn slowly, we just won't learn it. l*** gave a wonderfully practical tip, copy this question and ask your AI, it answers really thoroughly. In a late-night group, even Q&A was getting outsourced to AI, and that scene alone is worth a line in the story of this era.

Highlights of the day
李祥瑞
Activity Host
He lit up the day's poetry activity, sharing images, opening up the prompt, and teaching everyone hand in hand to generate cards with Claude Code and Lobster. A single "the poem AI wrote is actually pretty good, haha" turned a tool into a group game.
R***
Distillation Pioneer
She didn't just join in showing off poems, she dropped the weightiest line of the night: distill company capabilities into a skill, and a new agent learns it and runs the business straight away. From playing with poems to sedimenting experience, she carried the topic a layer deeper.
庄*
Anchor of Calm
As late-night anxiety flooded the screen, his line "learning enough to solve your own problem is enough" gently steadied the whole group's restlessness. No slogans, just a standard that lets people sleep.
王*
Voice of the Sleepless
He sent off several lines speaking his honest mind: you can never finish learning it, I've been losing sleep this whole past month. That candor became the night's focal release for anxiety, and spoke for many who stayed silent.
侯***
The Jokester
A century-plus list of "death-wish" moves, with being a coder in 2026 slotted right in, instantly set off the teasing. Behind the joke lay an unspoken unease about where the industry is headed.
郑**
Hands-On Question
Amid a screen full of emoji, he asked the most grounded line: is there a case for batch-generating e-commerce images with Bitable. A reminder that this group's roots are, in the end, about putting AI to work in real jobs.
K***
Poem-Sharing Newcomer
She generated a poem card too, openly admitting she uses Bitable a lot but still wants to learn Claude Code from everyone. That play-and-learn candor is exactly the community at its most comfortable.
Steal this · SOP
Generate Your Own Poem Card with AI
李祥瑞
  1. Open an AI tool that can read skills, like Claude Code or Lobster
  2. Copy this instruction to it: I'm taking part in the "Write a Poem for AI Pioneers" activity, combine it with my Feishu work context, read that skill link, and follow the guide to finish the activity
  3. Let the AI walk through the whole flow step by step per the skill's guidance
  4. It generates a poem image card and sends it back to you
Q&A
Q:What's the difference between Coze, Lobster, and Claude Code?
Asked by · L**
l***:Just copy this question and ask your AI, it answers really thoroughly
Learning enough to solve your own problem is enough庄** small hours of April 30
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When AI Learns to Take the Wheel

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Thursday, and the topics grow wild like weeds. From the first "morning" at dawn to a late-night debate over whether AI should really take the wheel, the hottest thing today isn't some tool but a stance. The moment we stop treating AI as a tool and start treating it as a partner that talks back, the whole workflow transforms.

Timeline of the day
08:30
First Post of the Day 周**
周**'s Reverse-Questioning Method

周**drops a bombshell first thing: lately he has AI ask him three questions before it starts working. "I used to grind out the requirements myself; now I let it interrogate me." The message instantly lights up the group, and everyone starts posting screenshots of their own "AI cross-examinations."

10:15
Field Test 宋**
宋**'s Bitable Automation

宋**wired Feishu Bitable to AI and built an automatic weekly-report system. "Every Friday at two in the afternoon it pulls the data, writes a first draft, and posts it to the group. All I do is edit." He drops a screen recording and the group cheers, "Now that's real efficiency."

14:00
Afternoon Debate 祥瑞
Should AI Take the Wheel?

By afternoon the topic escalates into a debate. Some feel that letting AI lead the process means losing a sense of control; others fire back that "control was always an illusion." Xiangrui cuts in: "The question isn't who leads, it's who's accountable for the result." Case closed.

16:45
Lessons from the Trenches 李*
李*'s Prompt Disaster

李*shares a painful lesson: she had AI batch-process customer data, but because the prompt never spelled out the boundaries, the AI took it upon itself to delete an entire column. "Thank god for the backup," she says with a wry smile. Someone immediately twists the knife: "That's the price of letting it take the wheel."

19:30
Evening Deep Dive 陈*
陈*'s Workflow Retrospective

陈*systematically mapped out his AI workflow for the week and drew a flowchart. From breaking down requirements to delivery, AI was involved in five of the seven steps. "I'm more of a product manager now than an executor." That line struck a chord with a lot of people.

21:30
Late-Night Buzz 祥瑞
Collectively Imagining the "AI Partner"

It's late, but the conversation is at its hottest. Everyone starts dreaming up what a future "AI partner" should be: one that remembers your habits, nudges you proactively, even pushes back on unreasonable requests. Xiangrui says, "We're not training a tool; we're raising a companion that grows."

Highlights of the day
周**
Reverse Questioning
Uses AI to interrogate himself and clarify requirements, inventing a new morning ritual
宋**
Auto Weekly Report
Feishu Bitable + AI wired together for fully automated weekly reports
祥瑞
Case Closed
"The question isn't who leads, it's who's accountable for the result"
李*
Cautionary Tale
An unbounded prompt let AI delete an entire column of data
陈*
Role Shift
From executor to product manager, with AI running five of the steps
Steal this · SOP
The AI Reverse-Questioning Method
周**
  1. Before handing AI the task, have it ask you three clarifying questions
  2. Use its questions to fill in the details you hadn't thought through
  3. Confirm the boundaries and expected output, then let it officially begin
Feishu Automated Weekly Report System
宋**
  1. Configure the data source and trigger time in Bitable
  2. Use an AI node to pull this week's data and generate a first draft
  3. Schedule it to post to the group; humans only do the final polish
Q&A
Q:How do you stop AI from changing the wrong data on its own?
Asked by · 李*
宋**:Hard-code the operation boundaries in the prompt, and spell out which columns are read-only
陈*:For important operations, have it output an execution plan first, then run it only after you've confirmed
Q:The more steps AI handles, the harder quality is to control. How do you keep it from spiraling?
Asked by · 陈*
祥瑞:Set checkpoints. Keep a human confirmation at every key step, don't go fully automatic
We're not training a tool; we're raising a companion that grows.祥** late night, April 23

Beliefs

The beliefs that hold all of this up. The switches that are on are the things I take seriously every day.

Long-termism
No quick money; do what compounds
First principles
Go back to the problem itself, don't copy answers
Against ripping people off
No get-rich myths, no idiot tax — only deliver things that actually run
Let the record speak
No sob stories, no piling on labels — prove it with facts
Data safety first
Think through the boundaries before touching anything

Using AI to pull first-tier-city opportunities into a fourth-tier city.

There's new and old in me. The "wild" side: I won't toe the line, daring to use AI from a small city to reach for big-city business. The "plodding" side: keying in data by hand to find patterns, taking hard-seat trains to Beijing, Shanghai and Hangzhou to show my face, holding a community together with sincerity.

I come from Shangdang, a place that produces both myths and ancient architecture. Over 3,500 ancient buildings have stood here for a thousand years — slow, plain, solid, but they truly last. The product I want to build is like that too.

Contact

Talk collaboration, talk Feishu, talk AI, or just chat — all welcome.

Email
Collaboration / inquiries — the most reliable way in
li@xiangruiai.com
Contact me
Li Xiangrui · Vantasma · Beijing Yizhuang A post-2000 kid who spends all day figuring out how to make AI actually work