For people building AI-enabled products and workflows. The goal is to make complex concepts understandable without reducing them to shallow definitions.
03 published pieces
Once you're building with models rather than chatting with them, the work stops being about prompts and becomes about what goes into the window, in what order, and what earns its place there.
The Model Context Protocol is usually explained as “a way to give models tools.” That undersells it. The real problem it addresses is combinatorial.
The instinct when an agent underperforms is to give it more freedom and better reasoning. More often the fix is to give it more places to be checked.