"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."
"🛠️ The 5 AI Tools I Tested 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..."
A controlled test compared first-pass outputs from five AI design tools across ten common UI prompts without cherry-picking or reruns. Prompts included accessibility, error handling, and minimalist layouts. Tools evaluated were Claude AI, Stitch (Google), UX Pilot, Mocha AI, and ChatGPT. Results varied: some models provided strong contextual understanding, UX writing, and accessibility-focused guidance, while others produced structured, clean layouts or rapid visual prototypes that required refinement. The comparison measured how closely each tool solved practical UI challenges on a first attempt, revealing strengths in layout generation, prototyping speed, and accessibility awareness as well as notable limitations.
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