Self-Critique Workflows

The hardest part of self-critique is not having a framework — you now have one. The hardest part is using it honestly. When you have spent fifteen minutes refining a prompt and the latest generation is almost right, the temptation to call it "good enough" and move on is overwhelming. Self-critique is the discipline of evaluating your own output with the same rigor you would apply to someone else's. It is the quality gate between generation and delivery.

The trick is to build a pause between generation and evaluation. Generate your images, then walk away — even if only for five minutes. When you come back, look at the image as if someone else produced it and you are reviewing their work. Apply the four-dimension framework. Score each dimension. Be specific about what is partial or failing. This deliberate separation between creator mode and critic mode is what prevents "good enough" from becoming your default standard.

1. Step 1: Generate a Batch Produce four to eight variations. Do not evaluate during generation. Your only job in this phase is volume. Judgment comes later.
2. Step 2: Pause Walk away for five minutes. Make coffee. Check email. The pause breaks the emotional attachment to what you just created and lets you return with fresh eyes.
3. Step 3: Score Each Image Apply the four-dimension framework to every image in the batch. Write down the scores. Writing forces honesty — it is much harder to fudge a written evaluation than a mental one.
4. Step 4: Diagnose and Revise For any image with a partial or fail score, identify the specific prompt element responsible. Composition fail? Adjust framing language. Technical fail? Try a different model or resolution. Revise the prompt and regenerate only the failing images.

AI can also be your critic. Feed your generated image to a vision-capable model and ask it to evaluate composition, technical quality, narrative clarity, and brand alignment. The AI will not have your brand context, but it is remarkably good at spotting composition issues, technical artifacts, and narrative ambiguity. Use it as a second pair of eyes, not a replacement for your own judgment. The combination of your brand awareness and the AI's analytical precision catches issues that either one alone would miss.