"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."
AI design tools were tested using raw, first-attempt results on ten common UI prompts without reruns or cherry-picking. Five tools were evaluated: Claude, Stitch, UX Pilot, Mocha, and ChatGPT (after switching). Prompts covered accessibility, error handling, minimalist layouts, and other real design challenges. Results showed variation: some models handled contextual understanding, UX writing, and accessibility, while others favored structured layouts or rapid prototyping. The experiment prioritized solving practical UI problems over generating polished mockups. Outcomes indicate that certain AI tools can address real UX concerns, but consistency and depth vary across systems.
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