"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."
A simple experiment tested five AI tools using ten common UI design prompts with a strict rule of no cherry-picking and no reruns. The prompts covered accessibility, error handling, and minimalist layouts to evaluate real design problem solving rather than aesthetics. The five tools included Claude AI, Stitch (Google), UX Pilot, Mocha AI, and ChatGPT for later comparisons. Claude demonstrated strength in contextual understanding, UX writing, and accessibility-focused content. Stitch showed capability for structured, clean UI layouts even in beta. UX Pilot focused on user experience and interface design, while Mocha targeted rapid prototyping.
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