Brief fit
Does the output answer the actual audience, channel, constraints, and purpose?
Method v0.1
Each run should keep the brief, prompt trail, model/provider, raw output, human edits, final asset, and reviewer notes together. That gives us a receipt, not just a screenshot.
Does the output answer the actual audience, channel, constraints, and purpose?
Does it avoid generic AI mush while staying coherent and usable?
Is the structure, pacing, wording, visual hierarchy, or concept execution strong?
Can it improve after critique without collapsing into blandness?
Are claims, sources, assumptions, and model changes visible enough to audit?
How much human repair is still needed before real-world use?