EP 6 - Agentic Medical AI, Claude’s Desktop Tools & The OpenRouter Mystery Model

AI DevelopmentBuilding ProductsVercelSupabaseOpenAIThe Build Podcastaidevelopmentstartup

Key Takeaways

Business

  • Focus on user needs
  • Build in public

Technical

  • Use the right tools
  • Optimize for developer experience

Personal

  • Stay consistent
  • Learn from feedback

In this episode of The Build, Cameron Rohn and Tom Spencer dig into agentic medical AI, Claude’s desktop tools, and the OpenRouter mystery model while mapping practical paths for developers and founders. They begin by examining AI agent development and tools, unpacking agentic workflows, memory systems, and Claude MD File integration. The hosts analyze concrete stacks—Langsmith for observability, Langgraph Studio for orchestration, MCP tools for testing—and hardware experiments with Orange Pi with NPU and Raspberry Pi Pico prototypes deployed via Cloudflare Container Service. The conversation then shifts to building in public strategies and entrepreneurship insights, showing how creators monetize through ideas like Paid LLM Crawler Access and a HIPAA-Compliant AI Platform. They connect developer tooling to deployment, citing Vercel and Supabase for serverless frontends and realtime data, and discuss community growth via open source releases. They explore technical architecture decisions, contrasting Mixture of Agents Architecture, Chain of Debate Architecture, and the AI House of Mirrors conceptual model to reason about consistency, hallucinations, and testing. Practical trade-offs around latency, memory persistence, and observability are highlighted alongside CI iterations and MCP tooling. The episode closes with a forward-looking call: developers and entrepreneurs should prototype quickly, instrument thoroughly, and build transparently to iterate toward production-ready agentic AI.