"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. (I switched to ChatGPT once my..."
A simple experiment applied 10 common UI design prompts to five AI tools with no cherry-picking or reruns, capturing raw first-attempt outputs. The prompts covered accessibility, error handling, minimalist layouts, and other common UI challenges. Claude AI demonstrated strong contextual understanding, effective UX writing, and accessibility-focused suggestions. Stitch (Google) produced structured, clean UI layouts despite being in beta. UX Pilot targeted user experience and interface design with specialized outputs. Mocha AI focused on rapid prototyping. The evaluation compared how closely each tool addressed practical design problems versus producing aesthetically pleasing but impractical mockups.
Read at Medium
Unable to calculate read time
Collection
[
|
...
]