Everyone's building a "personal AI OS" right now. After months of trial and error, here's the structure that finally made mine actually scale 👇 My first version was one giant agent with a 2,000-word prompt trying to do everything. It was inconsistent and impossible to debug. What actually worked: treat it like a company, not a chatbot. 🧠 1 Orchestrator (the manager) Its only job is to route tasks and hold context. It never does the actual work — it decides WHO does it. 👥 Narrow sub-agents (the employees) One job each: Research, Writer, Data, Ops. A specialist with a 1-job prompt beats a generalist every time. 📋 Give every agent a "job description" Each sub-agent gets its own skill / system prompt — role, rules, output format. This is what makes the behavior consistent and repeatable. 🔗 Hand off with structured data, not chat Agents pass JSON between steps instead of free text. This one change killed ~80% of my handoff errors. 🔁 One verifier at the end A final agent whose only job is to check the work before it ships. Catches the hallucinations the others miss. The result: instead of one flaky mega-prompt, I now have a team that's debuggable, swappable, and actually reliable. If you're building your own AI OS — what's your orchestrator running on? n8n, Claude Code, or custom? 👇

i build a obsidian extension that imports youtube videos into obsidian with a full transcript and time stamps for a quick search. obsidian is a must tool for anyone in 2026.

I am building a SaaS, but the main issue I am facing is it's not cost efficient, and I might not be generating profit. Currently, the brain it's using is Claude. I want help on what options do I have to make it more cost efficient. It's an organization management SaaS, and will work on multiple-tenants. So, If any of them used it excessive it will ruin the cost. Can any body help me with this?

Let’s see what is ground reality of building an AI business. I spent last 4 years on it and I won’t lie it is the most difficult thing to do. Share your experience in the comments .

5 Claude prompting mistakes that are killing your output quality: 1. No role → Add "You are a [expert type]" at the start. Claude performs differently with context. 2. No format instructions → Tell it exactly how to structure the output. "Use headers", "bullet points max 5 words each", "write in conversational tone." 3. No examples → Show it one good example of what you want. One example beats 100 words of explanation. 4. Too many tasks in one prompt → Split complex requests. One prompt = one job. 5. No rules at the end → Add a "rules" section at the bottom. "Never use jargon. Always end with a question. Keep under 200 words." It follows rules better than instructions. Save this. Your Claude outputs will improve today. Which of these are missing from this points ??