Before you dive in: I recently launched Flight Lens—real-time flight intelligence for anyone who flies. A Pulse Index shows global aviation status, smart alerts track delays and price drops, and a live map lets you follow any aircraft. Use code LAUNCH for 50% off annual plan ($19.99 instead of $39.99).
Today I stumbled upon a nice write-up by Michael Grady about how he’s running AIGernon on Zo Computer. Michael is a neurodivergent professional who needed a productivity system that matches how his brain actually works — and he put one together.
The foundation is my Assess-Decide-Do framework: Assess (mapping the problem without committing), Decide (converting insight into intention), Do (executing). Michael embedded that logic into AIGernon as a persona running on Zo Computer, so the system recognizes which cognitive mode he’s in and responds accordingly.
On top of that he added DuckDB for queryable data, a markdown memory system, and Zouroboros (a multi-agent orchestration framework by Marland Johnson) to route outputs across three tiers: Zo’s native tools, external models like Claude Code, and a human queue for anything that needs judgment or involves other people. Four agents run overnight — memory capture, vault indexing, health monitoring, and a self-improvement summary. It went live April 10, 2026.
Good to see AIGernon being put to work like this. If you’re building on it too, let me know.
🤖 AIGernon — My Personal AI Assistant
Complete Series:
- Origin Story: Introducing AIGernon, My Personal AI Assistant – with a Dash of Assess Decide Do
- Evolution: My Personal AI Assistant, AIGernon, Gets a Face
- In Production: A Week With AIGernon, My Personal AI Assistant
- Community: AIGernon Running on Zo Computer
- Architecture: Assess, Decide, Do + Substrate = Long Running, Self Improving Agents
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