Show the human review step in your AI workflow

Many project descriptions focus on generation. This thread focuses on the point where a person checks the result and decides what happens next.

Share a small walkthrough covering:

• The AI-produced item the reviewer sees.
• The source information available for comparison.
• The criteria for approving, editing, or rejecting it.
• What happens when information is missing or uncertain.
• How the reviewer records a decision and requests another attempt.

A wireframe, checklist, or sanitized screenshot is enough. Label proposed interfaces as proposals and working interfaces as implemented.

If you have evaluated the review process, explain the task, sample size, and method. Otherwise, describe what you would measure first. What is one decision you deliberately keep with a person, and how does your interface make that decision clear?