Learn AI by building it. Every week.

I'm learning to build with AI in public — agents, MCP, RAG, evals, context management — one concept at a time. Each week I pick a tool, write the theory, build an exercise, and do it myself. What works ships as a public repo. What breaks gets written up honestly.

You get the same thing I do: a weekly email with the concept, a hands-on exercise you can run, and the failure log from my own week. Plus what actually moved in AI over the past seven days, without the hype.

The exercises are yours to keep. They live on GitHub, they stay updated as the tools change, and they're designed to be applied to your own projects — not just followed.

I'm not an expert. That's the point. This is a build log, not a course from someone who already figured it out.