"AI design tools are everywhere right now. But here's the question every designer is asking: Do they actually solve real UI problems - or just generate pretty mockups? To find out, I ran a simple experiment with one rule: no cherry-picking, no reruns - just raw, first-attempt results. I fed 10 common UI design prompts - from accessibility and error handling to minimalist layouts - into 5 different AI tools. The goal? To see which AI came closest to solving real design challenges, unfiltered."
"Here's the lineup I put through the test: Claude AI - Anthropic's model, excellent at contextual understanding, UX writing, and accessibility-focused content. Stitch (Google) - Still in beta, but already showing strength at structured, clean UI layouts. UX Pilot - A specialized AI tool built specifically for user experience and interface design. Mocha AI - Designed for rapid prototyping. (I switched to ChatGPT once my..."
An experiment tested 10 common UI design prompts across five AI tools using raw first-attempt outputs with no reruns or cherry-picking. Prompts covered accessibility, error handling, and minimalist layouts to assess practical UI problem solving rather than aesthetics. The five tools evaluated included Claude AI, Stitch (Google), UX Pilot, Mocha AI, and ChatGPT as a substitute in one case. Claude demonstrated strong contextual understanding, UX writing, and accessibility-focused outputs. Stitch showed strength in producing structured, clean UI layouts while UX Pilot emphasized user-experience and interface design. Mocha AI aimed at rapid prototyping. Results highlighted varying tool strengths for different UI challenges.
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