How do you decide where human review belongs in an AI workflow?

How do you decide where human review belongs in an AI workflow?

Human review is most useful where a correction can prevent downstream rework or an unwanted action. Its placement should follow the consequences of an error, not a blanket rule to review every intermediate response.

Review before dependencies multiply

In a video workflow, approving the script before narration can prevent regenerating both audio and video for a text correction. A separate preview before publishing lets the creator inspect the final media and destination. These review points serve different purposes and should not be treated as interchangeable.

Define what approval means

Associate approval with a specific version of the content. If the script changes, earlier approval should not silently apply to the new text. Explain what the reviewer should check, such as factual claims, pronunciation, caption timing, and selected account. Keep draft generation distinct from publication. Walk through an edit after approval and verify that the interface makes the changed dependency visible before allowing the next consequential step.