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AI Platforms

AI platform work is the boring machinery that lets product teams experiment without turning every feature into a one-off model integration. The platform owns traces, schemas, routing, retries, eval hooks, and guardrails around expensive or risky work.

Start here

  1. Make common reliability work reusable.
  2. Keep model churn behind stable interfaces.
  3. Expose costs, latency, and the ways calls fail.
  4. Give teams safer defaults for experiments.

Related writing

  • If It Has to Happen, Don’t Put It in the Prompt

    Essay · ai · agents · ai reliability

    When agent instructions turn into all caps rules, the fix is often to move the requirement out of the prompt and into a workflow that can check it.

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