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Tell us three things: 1. What you do (job, industry, student, career-changer, whatever) 2. What brought you to Clief Notes 3. One thing you're trying to figure out right now related to computing or AI I'll respond to every single one. And read each other's intros too because the person who's stuck on the same problem as you might already be in this thread. I'll go first I am Jake, I have been working in tech for 15 Years, building with Generative AI for 3 Years straight now! Excited to teach and learn! That's it. Simple, scannable, gives you data on who's joining and what they need, and keeps the feed clear for content that retains people past week one.

Most ICM setups I see here are single-operator: one person, one agent, one context tree that's basically externalized working memory. We're running it differently — as the shared know-how of a small engineering firm (~15 people: industrial automation, control-panel building, light EPC). That one shift, from personal to organizational, changes the whole problem. In a company, the context isn't just my memory — it's the procedures everyone has to follow, and procedures have to be governed, auditable, and improvable by people who will never open a terminal. Here's the core of what we've landed on. One markdown source, three readers. The ICM KB — plain markdown in GitHub — is at the same time: - the agent's operating context (what it reads to act: load costs into the ERP, build quotes, enforce the process); - the company's procedure manual, rendered into a navigable wiki — search, cross-links, the graph of how procedures interconnect — which is what employees actually read; - the ISO 9001 controlled-document system, because Git already is change control: versioned, attributed, diffed, immutable — stronger than the Word-on-a-shared-drive most small firms limp along with. No parallel copies, so nothing drifts. Git is the evidence vault; the wiki is the auditor's reading room. (Worth stating for this crowd: ISO 9001 mandates control — identification, approval, versioning, availability of the current version — it mandates no specific format. A git-backed static site clears that bar cleanly.) The agent is the abstraction layer — this is what makes it survive in a company of non-technical people. Nobody learns markdown, Git, or pull requests. They talk. The agent enforces the current procedure while they work; and when someone says "step 3 is wrong, we do Z now," it turns that into a proposed change to the controlled document. The quality lead gets a plain-language summary and approves or rejects. Proposing is frictionless and open to everyone; approving is a controlled human gate. The Git/PR machinery stays invisible underneath.