When AI generates outputs from prompts, showing which parts of the prompt were successfully executed versus ignored (e.g., through visual highlights) helps users refine their instructions. This feedback loop allows humans to learn how to communicate effectively with AI systems, improving future prompts and reducing trial-and-error.
Progressive fidelity (blurred previews) accelerates iteration by letting users confirm direction before full generation. Incremental updates preserve existing work, while prompt feedback highlights respected vs ignored elements to refine instructions and improve AI understanding.
View full episode →