Designing AI Scan Results That Users Can Understand and Correct

UX principles for presenting uncertain mobile analysis without blocking momentum.

Show what the system recognized, what it inferred, and what remains uncertain. Prioritize one useful insight over a wall of generated detail.

Make corrections lightweight and preserve the original result for debugging. Avoid false precision and explain what changes when a field is edited. Correction is not an admission of failure; it is the interface that lets user knowledge improve an uncertain system.