4 min read

Design , AI , Design Patterns , UX

Practical guide on how to reduce drifts, minimize mistakes, maintain context, and improve the quality of AI-generated prototypes. Brought to you by Design Patterns For AI Interfaces , friendly video course on UX and design patterns by Vitaly.

AI-generated prototypes often don’t deliver consistently decent results because of tiny inconsistencies scattered all across a design system. I’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.

Yesterday I stumbled upon a useful practical guide by Hardik Pandya from Atlassian — on how to reduce drifts , minimize mistakes, maintain context, and improve the quality of AI-generated prototypes. Let’s see how it works.

To get better results, AI needs better guidance that minimizes assumptions and reduces ambiguity. Guide by Hardik Pandya . ( Large preview )

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