The author used Google's Gemini in AI Studio to generate an Android gardening app for organizing yard chores, weather-aware care, and plant diagnosis. Gemini quickly produced a working prototype, but the app needed repeated fixes for readability, scheduling, editing, live weather, and task logic. The experience showed that AI can be genuinely useful for narrow tasks, while still lacking real-world judgment and requiring clear human direction.
Code and Theory, a digital experience agency, achieved a 75% reduction in time-to-prototype by integrating Vercel's AI-powered UI generation tool v0 into their design and development workflow. The case study, published by Vercel, highlights how generative UI tooling can dramatically compress early-stage product iteration cycles. It positions v0 as a practical accelerant for agencies balancing client speed expectations with design quality.
Jane Street designer Edwin Morris describes moving from skepticism about LLMs to using Claude as a core design tool. Instead of relying mainly on specs and Figma mockups, he now builds working prototypes directly in the real codebase. The post also explores the collaboration risks: prototypes must remain disposable proposals, not finished features that shut reviewers out of design input.