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Production best practices

OpenAI guidance for moving API applications from prototype to production, including security, compliance, testing, misuse prevention, and operational planning.

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Production log to eval case

Useful production logs can be converted into eval cases so real failures become repeatable tests.

reviewed ai-product, evaluation, product-operations

OpenAI production guidance calls for security, privacy, compliance, testing, and proactive issue handling before broader release.

Production readiness guardrail

An AI prototype should not move to production until security, privacy, testing, misuse, and operational limits are explicitly reviewed.

reviewed ai-product, product-operations, product-quality

OpenAI production guidance highlights secure API access, security and compliance requirements, data handling, testing, and proactive misuse prevention.

关联阅读路径

AI idea validation to eval

A source-backed path for turning generated AI product ideas into problem framing, validation briefs, task-specific evals, and score-gated decisions.

reviewed 22 分钟 ai-product, product-discovery, evaluation

Human-centered AI feedback loop

A route for keeping AI tools useful after first generation: map risks, support correction, capture feedback, and review production readiness.

reviewed 18 分钟 ai-product, user-experience, product-quality