The whole catalog, ecosystem by ecosystem

AI Engineering 5: Product and Client

Fifth track of the AI Engineering ecosystem: what an AI engineer needs from product work and client work, at the level of the engineer who builds. Decide whether a feature needs AI and how much autonomy it gets, measure it with users against the baseline, instrument the events that answer those questions, and run a client engagement end to end: discovery, scope, success as evals, a costed proposal, a pilot, and handoff. Each guide stands alone, with its own case and code that runs without an API key. Assumes intermediate Python and having called an LLM from code.

In order, from fundamentals to production. Start at 1.