Ran into the same wall for months doing AI art for brand clients: outputs looked "AI-generated" instead of "on-brand." Turns out the fix wasn't a better prompt, it was a different prompt structure.

Here's the framework that changed everything for commercial work:

Subject → Style anchor → Brand constraint → Technical params

Most people write prompts as one long descriptive sentence. That's fine for personal art, but it's why brand output looks inconsistent from generation to generation. Instead:

1. Subject — what's literally in frame, kept simple and unambiguous

2. Style anchor — a fixed reference (a specific art movement, lighting era, or "in the style of [your locked-in aesthetic]") that you reuse across EVERY prompt for that client. This is what makes a 20-image set look like one campaign instead of 20 random rolls.

3. Brand constraint — color palette locked to hex-adjacent language, negative space rules if it's going near text/logo, mood word (never more than 2)

4. Technical params last — aspect ratio, stylize, and version flags. Putting these last matters more than people think; front-loading them causes the model to weight technical tokens over subject fidelity in some pipelines.

The mistake almost everyone makes: changing the style anchor between generations "to see what looks better." Don't. Lock it in before you shoot the first frame, treat it like a brand guideline, not a suggestion box.

Same logic applies to DALL-E 3, just swap the param syntax — the structural discipline is what transfers, not the specific flags.

Curious if others doing paid AI art work have found different anchor techniques that hold consistency across a full deliverable set.