"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."
"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. (I switched to ChatGPT once my..."
A simple experiment used 10 common UI design prompts across five AI tools under a single rule: no cherry-picking or reruns. The prompts covered accessibility, error handling, and minimalist layouts to test practical UI problem solving. The five tools included Claude, Stitch, UX Pilot, Mocha AI, and a fallback to ChatGPT. Results showed varied strengths: Claude excelled at contextual understanding, UX writing, and accessibility-focused content; Stitch produced structured, clean layouts; UX Pilot concentrated on user experience flows; Mocha targeted rapid prototyping. First-pass outputs revealed useful capabilities alongside clear limitations for real UI design tasks.
Read at Medium
Unable to calculate read time
Collection
[
|
...
]