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Build with an AI agent
Applications built by an agent because the work called for them: from a wish list to a working tool, with the human planning, deciding, and testing while the agent does the work.
Episodes
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01An AI agent built my dictation app in one afternoon. The plan did the work.
The commercial dictation tool kept writing Hal as howl, so an agent built a replacement in one afternoon: local Whisper speech-to-text, a classifier that settles misheard words, a small language model only when the classifier is unsure, and a dictionary that learns from edits. The point of the story is not the code. It is the plan: seventeen lines of wishes, one planning interview until every question was closed, homework only a human can do, measurements before any code, then six steps each tested by using the app.
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02I came in to rewrite my app. The agent got it signed instead.
The dictation app from the previous piece would not run on a corporate PC: unsigned, it looks like spyware. The human came back planning a Python rewrite; the planning conversation priced the real problem, signing, and found that the Microsoft Store signs a package for free and the developer account now costs nothing. On camera: the brief dictated with the tool itself, the fee that was zero, a packaging test that lost the database and produced export/import, a measurement that kept the older correction model, the human-only steps routed through a two-agent ticket relay, and the email from Microsoft two hours later. The lesson: state the challenge and the goal, not the method.
