Mastermind recap
AIMM Session — November 6, 2025: Your Expertise Is a Product — RAG Stack Live Demo
30-Second Summary
Dense with wins and landmark live demo. Dirk crossed a major milestone — self-hosted N8N in Europe. Don shaved five days off a university grant project using Claude deep research. Lou walked through his actual production RAG stack: a Qdrant vector database powering custom ChatGPT action and Claude MCP for a law firm client.
1. The Dip Has a Winner: Dirk’s Infrastructure Milestone
Dirk Ohlmeier has a self-hosted N8N instance running on a European server — fully set up, secure, saving real money monthly. Next move: swap Airtable for Supabase.
Lou: “Nothing is ever as easy as people say it’s going to be, and so a lot of people give up at the first block. You’re a study in persistence.”
2. Claude Deep Research Just Saved Someone a Work Week
Don was ghostwriting a grant for U of Alberta Department of Chemistry — normally 5 full days. Used Claude deep research surgically: exact question, specific sources, exact format match.
Result: Five days became hours.
3. Your Expertise Is a Product
Rich Schefren has “Rich’s Brain” — journals, frameworks, decades of content synthesized into premium AI product.
Jay Abraham with Michael Simmons: took Jay’s entire content library into prompts that reproduce his thinking. Launching via Substack; SaaS planned.
The model applies to everyone: identify the most valuable thing you deliver, capture it, package into RAG database, offer standalone or as a complement to live work.
4. Live Demo: RAG Database → ChatGPT Custom GPT → Claude MCP
Lou’s production stack for law firm (Janssen legal team):
- Vector database (Qdrant, free tier) — upload files, chunk, embed, store
- Retriever endpoint — URL that ChatGPT/Claude can query
- Custom GPT action — create action, paste schema, add API key as bearer token
- Claude MCP — find server code, compile, paste config into claude_desktop_config.json
Queried “Nash Johnson” live, got full AI-generated dossier from deposition transcripts directly in ChatGPT.
The economics: this replaces tools priced at $22,000–$35,000/year. Lou’s cost: ~$100 in API usage over 6 months of building and embedding hundreds of thousands of pages.
Community Corner
Dirk: self-hosted N8N live in Europe after months of pushing through the dip.
Don: Claude deep research turned a 5-day grant project into hours.
Bally: present and taking notes on the RAG architecture for potential healthcare applications.
Donald: building his client-facing tools one Claude-generated HTML page at a time.