Why I stopped building demos
The gap between demo theater and production reality is where most AI projects die. Here is what I do instead.
Read notePublic notes on builds, systems, and what I am shipping. Real lessons from production AI systems, not theoretical takes.
The gap between demo theater and production reality is where most AI projects die. Here is what I do instead.
Read noteAfter building dozens of agent systems, these are the patterns that survive contact with real users and real data.
Read noteShipping is not the finish line, it is the starting point. How to think about AI systems as living infrastructure.
Read noteLogging, permissions, evals, rollback paths, without slowing down shipping. The balance I have found.
Read noteThe real power of LLMs is not generation, it is orchestration. How I structure tool-calling agents.
Read noteNot every project is a good match. Here is my mental model for evaluating whether to take something on.
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