Intent Prototyping: A Practical Guide to Building With Clarity (Part 2)
By
[email protected] (Yegor Gilyov)
Slow-proofed and worth the wait. Worth its weight in flour.
Summary
This article presents Intent Prototyping as a practical methodology that uses AI to bridge the gap between design intent and live prototypes. It builds on Part 1's discussion of mockup-centric design problems and "vibe coding" structural flaws, offering a disciplined approach where designers can directly translate UI sketches, conceptual models, and user flows into functional prototypes using AI tools. The method positions the live prototype as the primary canvas for ideation rather than static mockups.
Key quotes
· 4 pulledReady to move beyond static mockups? Here is a practical, step-by-step guide to Intent Prototyping
a disciplined method that uses AI to turn your design intent (UI sketches, conceptual models, and user flows) directly into a live prototype
making it your primary canvas for ideation
How might we close the gap between our design intent and a live prototype, so that we can iterate
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