"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 no-cherry-picking experiment fed ten common UI prompts into five AI design tools and captured only raw, first-attempt outputs. The prompts covered accessibility, error handling, minimalist layouts, and other common UI challenges. Results varied by tool: some models showed strong contextual understanding and accessibility-aware UX writing, while others produced clean, structured layouts or rapid prototypes. Several outputs emphasized visual polish over interaction robustness. First-pass AI results often need human iteration to address usability edge cases and real-world constraints. AI can accelerate prototyping and suggest solutions but does not yet replace iterative human-centered design.
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