AI workflow · Verified 2026-10-12
AI-assisted screenshot briefs
Use product evidence to draft a visual argument without generating a fictional app experience.
In brief
AI can help map audience objections to screenshot messages, sequence proof, and adapt a brief across devices or locales. The source images and claims still need to come from the real product.
Inventory visible product proof
List the screens, states, interactions, outcomes, and customer language the current build can demonstrate. Exclude roadmap features and simulated results.
Create one job per frame
Ask the model to propose message → product proof → required capture → caption → locale risk. Reject frames that need decoration because the product evidence is weak.
Route the brief through current specs
Treat platform and device requirements as sourced inputs, not model memory. Validate crops, sizes, count, file type, and video behavior against current documentation.
Review at thumbnail size
Test legibility, hierarchy, truthful composition, localization expansion, and whether the first frames classify the app in a one-second scan.
Primary sources
Rules and interfaces move. Recheck these sources before submission-sensitive work.