"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."
"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."
A controlled experiment evaluated raw, first-attempt outputs from five AI design tools across ten common UI prompts without cherry-picking or reruns. The prompts covered accessibility, error handling, and minimalist layouts to test practical problem solving versus visual mockup generation. The tools tested included Claude AI, Stitch (Google), UX Pilot, Mocha AI, and ChatGPT. Claude showed strengths in contextual understanding, UX writing, and accessibility; Stitch demonstrated structured, clean layouts; UX Pilot targeted user-experience specifics; and Mocha focused on rapid prototyping. Results compared each tool's real-world UI utility against purely aesthetic outputs.
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