model
Production readiness guardrail
An AI prototype should not move to production until security, privacy, testing, misuse, and operational limits are explicitly reviewed.
正文
A production readiness guardrail separates a promising demo from a deployable product. It asks whether API keys and secrets are protected, what data is stored, what compliance or privacy obligations apply, what misuse paths exist, and what tests or monitoring will catch failures.
For indie AI products, this guardrail can be a lightweight release gate. The important move is to require an explicit review before live users depend on the system.
来源引用
Production best practices
Source: Production best practices
OpenAI production guidance highlights secure API access, security and compliance requirements, data handling, testing, and proactive misuse prevention.
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