How To Make Your Design System AI-Ready: Reducing Inconsistencies for Better AI-Generated Prototypes
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Summary
A practical guide on making design systems AI-ready by reducing inconsistencies, documenting decisions, and cleaning up hard-coded values. The article emphasizes that AI-generated prototypes often fail due to scattered inconsistencies in design systems — undocumented decisions, uncleaned hard-coded values, and over-reliance on AI interpreting mock-ups independently. It provides actionable advice for designers and developers to structure their design systems for better AI-assisted prototyping.
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Smashing MagazineHow To Make Your Design System AI-Ready: Reducing Inconsistencies for Better AI-Generated Prototypessmashingmagazine.comKey quotes
· 2 pulledAI-generated prototypes often don't deliver consistently decent results because of tiny inconsistencies scattered all across a design system.
It's decisions made but not documented, hard-coded values never cleaned up, or relying too much on AI making sense of mock-ups or design flows on its own.
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