How I'm Building Tourist: A Cloud Coding Agent That Lives in a City
Tourist's city foundation is running. Here is the build plan for the cloud coding agent, scoped memory, dynamic context, GitHub delivery, and learning that should follow.
Field Notes
Articles & write-ups
Longer notes on the systems I build, the problems behind them, and the lessons that survive beyond a launch post.
Linear Regression: Where Did That Prediction Come From?
From a 20-minute delivery estimate to LLM latency: explore how a line learns, why we square its mistakes, and when a good-looking prediction stops being useful.
GPT-6 Astra: When the Model Becomes the Operator
GPT-6 Astra is not just a stronger reasoning model. Its computer-use gains, critical cyber capability, and monitorability limits change how we should design and supervise AI agents.
Building AI Agents That Know When to Stop
A practical design for bounded agent loops: finish when the work is good enough, compact before context degrades, and stop safely when progress stalls.
Memory as the Missing Layer in Self-Improving AI Agents
A practical architecture for agents that turn experience into safer, measurable improvements through memory, sandboxed experimentation, evaluation, and replay.