"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."
A controlled, no-cherry-pick experiment evaluated five AI design tools using ten common UI prompts covering accessibility, error handling, and minimalist layouts. Each tool produced a first-pass design without reruns to reveal raw capabilities. Claude demonstrated strengths in contextual understanding, UX writing, and accessibility-focused content. Stitch showed promise with structured, clean UI layouts even in beta. UX Pilot offered specialized UX and interface design features. Mocha AI targeted rapid prototyping workflows. Results varied across tools, indicating that some AI can address practical UI problems while others mainly create aesthetic mockups, emphasizing the need for task-specific evaluation.
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