I need a developer who wants to build something real. Early-stage fintech, live product, real market data, plenty to build. React/Next/TypeScript + Supabase. Not a 9–5 — it's for someone who actually wants in. DM me. instahandle: @alphastackai

How is the AI OS series that unlocks at Level 3? Has anyone been able to implement the ideas in their own system yet? I’ve been working on a “second brain” for LLMs since December, and I keep hitting the same wall: efficiency. I’ve tried file-based approaches, RAG, and even a semi-custom knowledge graph. They all get part of the way there, but none of them feel quite right once you start dealing with real-world files and services. The big issue for me is ingestion. I want to connect local files, Dropbox, Slack, Teams, SharePoint, etc. without copying everything into another system or creating a mess of duplicates. It feels like we still need better local-first infrastructure before this can be properly optimized. Has anyone found a setup that actually works well? Does the AI OS course address any of that?

In this video, I walk through how to actually deliver AI projects, covering APIs, hosting, and handover so clients can use what you build without things breaking or getting messy. This is for anyone building or selling AI services who wants clean delivery, happy clients, and fewer problems after launch. Hope you guys enjoy!