How should AI apps handle flagged moderation content?

I’m implementing moderation for my AI app and I’m a bit unsure about the correct architecture.

Right now I’m using the Moderation API and it flags a lot of content that isn’t necessarily harmful in context. If I treat all flagged content as a hard block, it ends up overblocking legitimate use cases (e.g. users asking for help or advice in sensitive situations).

What’s the recommended best practice here?

Specifically:

  • How do you distinguish between content that should be blocked vs. content that is sensitive but still legitimate depending on context?
  • What’s the correct way to handle flagged content without degrading the user experience?

Would really appreciate a concrete example or reference architecture from anyone who has implemented this properly.

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