Building with AI, making sense of what comes next
I explore AI by building with it and trying to understand it. The work here shares one question: once a system can show its work, how do you check that the showing is honest?
October 2026
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Running an AI-Built Project
Nablaframe
When AI agents write the code, the hard part is knowing it is right. Notes from Nablaframe on contracts before code, tests that are themselves tested, a decision log, independent review, and one machine whose reports are the only results.
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Programming in a Glass House
Glasshouse
Drag a house on the screen and the program that drew it rewrites itself, honestly. What Bret Victor demonstrated, what he left open, why we built a new language to make it real — and what a first step can and cannot establish. Includes a live demo you can drag.
- Appendix A: The Chalk Language Formal syntax, semantics, and the standard vocabulary.
- Appendix B: The Eight-Lesson Curriculum Every lesson, each with a live demo to play with.