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Incremental updates preserve existing work

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.

HostY Combinator00:24:06

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what if I just took this and what if I said okay explain your changes okay so so so make this make the sidebar blue mhm run revision okay okay now we're waiting again hopefully this will be faster hopefully it's like an incremental change right where we can sort of only submit to Delta and not like do sort of like a single shot do the whole thing over again um not just for kind of to weight but also for you know resources um preserve kind of the the existing um design that we did like and did want to turn blue um so let's see how I can s like deal with diffs and and for consistency too because you know especially when you're prompting to create Graphics one of the challenges is if you want to change one element at a hat on a person it's hard to keep the rest of it consistent that's a common challenge now and so if they're able to do this then I I think that that speaks pretty highly Host
if they're able to do this then I I think that that speaks pretty highly yeah so so so any interface designer or technical team kind of figure out the challenge of how to kind of add sub prompts or how to only change kind of iteratively um that that that that's kind of like really the the frontier Rafael

From this concept

Iterative Human-AI Collaboration

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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