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1. Check Existing Resources FIRSTBefore posting, search the community, n8n docs, or the free forums — your issue may already have a solution. 2. Title Your Post CLEARLYUse a specific, descriptive title. For example:“Webhook not triggering on form submit” is much better than “Help please!”. Remember to post in the "Support Needed" Category. 3. Include Screenshots or a Loom VideoVisuals are critical. Without them, the first reply you’ll often get is “Can you share a screenshot?” — and that just slows things down. 4. Reply or @Mention People DirectlyUse the “Reply” button or tag users with @username to ensure they get notified when you respond. 5. Mark the Post as [SOLVED-YEAH]Once your issue is resolved, update the post title with [SOLVED-YEAH] so others can find working solutions faster. 6. Like Helpful ResponsesIf someone helps you, give their reply a like. It’s a small gesture that shows appreciation and keeps the community strong.

Don't be a non-reader of these rules. 1) 🚫 No Business Promotions → NO “DM me for…” or "Comment 'Automation'" posts. 2) 🔗 No Linking Your Own Community/YouTube Videos 3) 🏷️ Title Specifically 4) 🔍 Search for Help First (searchbar) 5) 🙌 Stay Respectful 6) ❌ Enforced Clean‑Up. We see you :D Posts that break these rules will be removed without warning. If you ever have questions, feel free to ask. Let’s make this the best AI 2 Business community out there by sharing, collaborating, and learning together. 🚀

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Your AI Should Know What You Know Andrej Karpathy — one of the smartest AI minds on the planet — has quietly shifted how he uses LLMs. Less code. More thinking. He's built an 8-stage personal knowledge system where AI ingests raw research, compiles it into a living wiki, and answers questions from its own compounded synthesis. Not from raw text, from organised understanding. The Shift Most Professionals Are Missing Most people use AI like a fancier Google. Karpathy's system is different — the model maintains cross-referenced markdown files, runs health checks on itself, fills knowledge gaps, and renders slide decks and charts as outputs. Valuable outputs loop back in. It gets smarter over time. That's not a chatbot. That's a thinking partner. Where This Is Heading The endgame? Fine-tune a model on the entire wiki so the knowledge lives in its weights permanently. No context window. No retrieval infrastructure. Just deep, embedded expertise. If that's where the best researchers are going, business professionals need to start moving in that direction — now.