AI systems that show low-fidelity previews (e.g., blurry video) while generating high-fidelity outputs let users iterate quickly without waiting for full renders. This balances immediacy with quality—users can confirm the direction early, then refine before final generation, avoiding wasted time on incorrect outputs.
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 →