Writing
Research notes, field notes, and a practical fieldbook from building and studying agent systems.
I’ve been writing down what I’m learning about the systems around AI models—the harness, memory, authority, recovery, and what it takes to know the work is actually done. I turned those learnings into two practical study guides, a working course map, and a comparison of real agent architectures.
A practical way to separate an agent’s activity from an outcome a person can safely accept.
Why a personal agent needs provenance, correction, and forgetting—not an endless archive.
What studying more than 40 agent harnesses taught me about the systems around the model.
A month across Fukuoka, Nagasaki, and Tokyo through the MIRAI-Setu internship — from splicing fiber optics and touring earthquake-proof data centers to standing at Mount Fuji, exploring Nikko Shrine, and learning Kaizen from the author himself.