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Notes from building production AI.

Short, practical essays on the patterns behind the work — keeping human judgment where it matters, wiring AI into real systems safely, and measuring before anything ships.

  1. Measured, or it doesn't ship

    A demo tells you the system can work once. An evaluation tells you how often it works, on the cases you actually care about — which is the only thing worth deploying on.

    • evaluation
    • production
    • quality

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  2. AI wired into your systems, safely

    AI that can talk about your systems but never touch them changes very little. The useful — and safe — version acts through a typed, permissioned, audited boundary.

    • mcp
    • integration
    • security

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  3. Keep human judgment on the decision

    The most reliable way to use AI on consequential work is not to remove the human — it is to move the human to the one step where being wrong is expensive.

    • human-in-the-loop
    • production
    • design

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