Have you ever been a part of a product launch that felt more like a daunting experience, rather than an exciting or thrilling one? The product launch where users got more confused and felt helpless? Where they could not even point out what was wrong, because the product team worked so heavily on improving the tech and the UX, that it actually changed the way they were used to working before.
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.
I actually started out thinking I wanted to be a graphic designer. I was really into anime as a kid, and when I got my hands on a (very outdated and pirated) copy of Photoshop 6 at around age 11, I was hooked. In high school, I also taught myself how to code, which opened the door to doing small freelance jobs here and there while I was still in school.
The thing is, the company I was working for had a dedicated photo team that provided beautiful, high-quality images with numerous contextual and action shots, perfect for web pages. So when what came to my desk was a classic full-page hero of an image with a gradient, I wasn't exactly surprised. But it did frustrate me that we couldn't come up with something more bold.
