AI-assisted prototyping can feel like a gimmick until you point it at very specific problems.
A few patterns that work well for product teams:
Expand state coverage
Ask AI to enumerate and sketch out empty, loading, error and success states for an existing flow. You’ll often uncover edge cases you hadn’t documented.Explore small variations, not whole apps
Instead of “design our dashboard,” try “propose 3 list-detail layouts for this data model on mobile.” The narrower the brief, the more reviewable the output.Keep your system in charge
Feed AI your existing components and tokens. Constrain generation to use those, then review anything novel before it ever reaches your system library.Validate quickly
Turn AI-generated options into prototypes and test with a handful of users or internal stakeholders. Keep what works; discard the rest without guilt.Close the loop with engineering
Have engineers weigh in early on AI-generated flows that might impact architecture, performance or platform constraints.
Used thoughtfully, AI doesn’t replace designers; it increases the surface area you can explore before writing code.
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