"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 simple experiment tested five AI design tools using ten common UI prompts without reruns or cherry-picking. Prompts covered accessibility, error handling, and minimalist layouts. Tools evaluated included Claude AI, Stitch (Google), UX Pilot, Mocha AI, and ChatGPT. Claude showed strength in contextual understanding, UX writing, and accessibility-focused content. Stitch demonstrated clean, structured UI layout generation even in beta. UX Pilot focused on user-experience-specific design outputs, and Mocha targeted rapid prototyping. Results varied across tools, with some producing usable, accessibility-aware suggestions while others produced visually appealing but shallow mockups, indicating ongoing need for human design expertise.
Read at Medium
Unable to calculate read time
Collection
[
|
...
]