CREATOR WORKFLOW / FIELD NOTE

The AI Review Loop: Keep Taste in the Process

A repeatable edit-and-review method for keeping your own judgement in an AI-assisted workflow.

AI can make the first version of an idea arrive quickly. That speed makes review more important, not less. A deliberate review loop creates space between generation and judgement so that taste, usefulness and audience clarity remain the deciding factors.

What this workflow changes

Separate generation from selection. Make a controlled batch from one brief, then leave the tool long enough to look at the results as an editor rather than an operator. On the return pass, evaluate only the project’s chosen criteria: performance, frame, movement, continuity and relevance to the story.

How to build the process

Use a three-bucket review: keep, revise and release. A kept shot has a clear editorial job. A revision request identifies one variable rather than asking for a different clip. Release means the result is attractive but does not belong. This simple language prevents weak material from lingering in the timeline.

Bring the selected clips into a rough sequence early. Timing and sound expose whether an isolated image has real narrative value. A shot that feels remarkable on a generation page may feel slow, confusing or repetitive once it sits between two other shots.

Make the final pass count

Get one outside response before finalising. Ask the viewer what they understood and felt, not whether they liked the visual. Their answer tells you whether the sequence is communicating. Then make the final pass with the brief in hand, removing anything that competes with the central idea.

Frequently asked question

How often should I review an AI generation?
After each meaningful batch and again in the rough edit. Frequent small reviews are more effective than one exhausting final review.

This is an original field note. Use it as a working reference, then adapt the process to the story in front of you.