u/Pretend_Resist8898

I see tools like Google Stitch and Claude Design coming out and keep thinking they take the relatively easy part of design (actual solutions) and do it faster I guess, also usually worse. Where I see genuine value in Figma MCP to Claude Code for prototypes or live products, these other prompt to design tools feel like a parlor trick to me.

But I see people reveling in it. Going straight into prompting designs without touching a canvas. Trusting the tools to interpret their words and create a viable feature.

So a few questions I have:

1. Is anyone who uses these workflows generally creating anything novel, or very simple features? If the former, how are you controlling the output and is it good?
2. How many iterations does it take to get right? Will the token-based-prompt model work at scale?
3. Is any one else worried about the death of good ideas? How can ideas blossom into others without that time spent pushing on visual iteration?

Generally curious from those using AI tools exclusively what types of problems they are solving for those who aren’t using it, why not?