ais-ux-prototype-review

To review a UI/UX prototype generated by AI, you can systematically evaluate it against established design and accessibility criteria, recording accepted, rejected, and deferred decisions in a structured format.

Documenting UX decisions for AI-generated prototypes involves recording accepted, rejected, and deferred choices in a structured format, ensuring alignment with design standards and optionally updating the original artifacts.

Yes, you can evaluate UI prototypes against accessibility standards by parsing and analyzing design documentation and UI artifacts to ensure design decisions align with established accessibility criteria.

The UX evaluation process can optionally update design and documentation artifacts based on approved decisions, ensuring your design files reflect the final accepted UX choices.

Yes, prototype analysis requires the ability to parse and analyze design documentation and UI artifacts, meaning you need accessible prototype files and related design docs to evaluate effectively.

AI-assisted review for UI prototypes is limited to evaluating provided design artifacts and documentation, meaning it cannot infer missing context or test live user interactions outside the generated prototype scope.