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Production AI

AI systems that run reliably under real load with real users — distinct from prototypes.

Production AI is the engineering discipline of taking LLM-based systems from "works in the playground" to "runs at 3am on a Sunday without paging anyone." The core requirements: continuous evaluation, observability that detects silent degradation, bounded cost, fallbacks for model failure, and human-in-the-loop on high-stakes actions. The principles are the same as production software engineering applied to a less deterministic substrate.

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