Keeping the Coding Agent on the Straight and Narrow
A companion to the PKM Phase 1 post. The foundation was built by two AIs — Claude.ai for design, Claude Code for implementation — with a spec as the contract …
A companion to the PKM Phase 1 post. The foundation was built by two AIs — Claude.ai for design, Claude Code for implementation — with a spec as the contract …
Eleven million words of personal documents, four canonical questions none of Khoj, Paperless-ngx, Obsidian, or Karpathy's LLM Wiki can answer, and a …
A Bayesian agent plays text adventures with four information sources and a VOI gate on every query. The LLM recommends actions. The mathematics decides whether …

Most LLM agents use tools like a tourist uses a phrasebook. A few lines of probability theory can fix it.

I built a Bayesian agent and set it against LangChain on a tool-use benchmark. LangChain got more answers right and still lost — by 120 points.

Part 2 of the Bayesian agent series. We confront the question of what should be designed versus what should be allowed to emerge, and discover that it's agents …

A visual demonstration of Bayesian inference and the exploration-exploitation tradeoff. An agent navigates a grid world, learning which foods are safe through …

How I built a Raspberry Pi dashboard to capture and visualize body composition data from a GoodPharm TY5108 Bluetooth scale

How I built a Getting Things Done Telegram bot with natural language parsing using Claude Haiku, Python, and PostgreSQL - all in under an hour with Claude Code.