AI design tools have gone from generating blurry wireframe suggestions to shipping functional, multi-screen app prototypes with consistent design tokens in one prompt. The pace of change is almost dis
blog.ahmershah.dev16 min read
Prateek Thapliyal
Software Engineer | React, Next.js, TypeScript, Node.js & AI-assisted Development
Base44 generating a working app instead of just mockups is a really interesting distinction. Different category altogether.
The emphasis on accessibility and design consistency is something many AI tool reviews completely ignore. Glad you included it.
Great reminder that prompt quality can expose the real capabilities of AI tools. Generic prompts often make everything look equally good.
This saved me hours of testing. I was planning to compare several of these tools myself, but your article covered most of my questions.
I like how you evaluated developer readiness instead of focusing only on visuals. Code export matters just as much for many teams.
The verdict section after every tool is a nice touch. It helps readers quickly identify which option fits their workflow.
I appreciate that you highlighted both strengths and limitations instead of declaring a single "winner." That's much more useful for real-world decisions.
This is one of the few comparisons where the same prompt was used across every tool. That makes the results much easier to trust. Nice methodology.
I personally love Google stitch. I have built a lot of UI designs on it, but you have to work on them later, like you do not get the absolute final product even after multiple fixes through prompts. What I like about Google stitch was that it has a option to export it directly to Google AI Studios, where you can just directly convert it into a website. It's really good for making prototypes to show clients. Didn't knew about some of the tools here thanks for sharing !