When modifying AI-generated outputs (e.g., changing a color in a design), systems that only update the changed elements—rather than regenerating everything—save time and maintain consistency. This delta-based approach is crucial for iterative design, where small tweaks shouldn't require full reprocessing of complex assets.
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.
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