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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.
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- →Make common reliability work reusable.
- →Keep model churn behind stable interfaces.
- →Expose costs, latency, and the ways calls fail.
- →Give teams safer defaults for experiments.
Related writing
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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.