This week I kicked off Design Lab's AI Prototyping Camp. In our most recent session, we went deep...This week I kicked off Design Lab's AI Prototyping Camp. In our most recent session, we went deep...
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This week I kicked off Design Lab's AI Prototyping Camp. In our most recent session, we went deep on Figma Make for three hours straight.
Big takeaway: context is king. Planning is what actually makes AI useful not the prompt itself.
Proof: I built a working prototype for a live-music discovery and ticketing app in 4 prompts total, moving between Claude Code and Figma Make.
But don't focus on the prototype, that's not the impressive part. What's impressive is the speed at which an existing design process can now move.
Research, clear problem definition, a tokenized design system, visual language, and real design skills are still what turn a prototype into business results. AI just compresses the distance between idea and something you can react to.
I built an interactive prototype experience right into my portfolio, so visitors can explore the design in high fidelity without being sent to another app or website. The prototype runs directly on my site, with the interactions enabled.
It’s exciting to see what AI makes possible for building and sharing design work.
I still prefer doing creatives manually, not that I'm against AI just my preference. But had some time last night, so experimented with a full AI pipeline for the first time, I know I'm quite late to the party and I prefer it that way. But here's something funny I created 😂⬇️