HOW TO TEST INTERFACE STATES AI AGENTS USUALLY MISS

Summary from the TLDR Design newsletter

AI-generated prototypes often look complete in happy-path form while states like loading, empty results, permission changes, and overlapping actions remain undefined. A better process builds a state inventory, embeds those states in realistic tasks and transitions, and measures comprehension and recovery, not just preference, across desktop and mobile. Findings get converted into reusable interface contracts defining triggers, messages, actions, and recovery behavior, so future AI-assisted designs don't reinvent handling for loading, empty, and error states.