"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 experiment tested five AI design tools using ten common UI prompts and a strict rule of no reruns or selection bias. Prompts covered accessibility, error handling, and minimalist layouts to probe practical UI challenges rather than cosmetic mockups. Tool strengths diverged: Claude excelled at contextual understanding, UX writing, and accessibility-minded output; Stitch produced structured, clean layouts; UX Pilot focused on user-experience specifics; Mocha aimed at rapid prototyping. Raw, first-attempt outputs revealed useful capabilities but inconsistent problem-solving across tools, suggesting AI can assist designers but does not yet universally replace design judgment.
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