Is Gemini 3 a 10x designer? I Wanted Proof.
The Startup Ideas Podcast
Using Visual Annotations to Iterate
Greg tests Google AI Studio annotations to request icon and background adjustments and evaluates responsiveness.
On today’s episode I stress-test Gemini 3.0 in Google AI Studio to see how good it really is as a designer, not just a code generator. Across the episode, I ask Gemini to redesign my personal website in a Windows XP–inspired style, build a restaurant analytics SaaS dashboard, and create a workout mobile app inspired by the “Brain Rot” app. Along the way, I experiment with prompts, visual annotations, and reference images to see how well Gemini takes feedback. By the end, he’s rating each build.
Timestamps
00:00 – Intro
00:54 – Personal Website
15:48 – SaaS
21:52 – Mobile App
26:35 – AntiGravity
27:17 – Final rating and takeaways
Key Points
Gemini 3.0 can now generate full, styled web and mobile UIs (not just “purple Tailwind vibe-coded” layouts) when given strong prompts and references. greg-take-02
A Windows XP–themed personal site, built from a screenshot and a short prompt, impresses Greg enough that he considers redoing his actual homepage. greg-take-02
Visual annotation inside Google AI Studio (drawing on the canvas and commenting) is a powerful way to refine icons, backgrounds, and layout without “speaking designer.” greg-take-02
A restaurant analytics SaaS dashboard (“Chef OS”) shows how combining Dribbble shots + Teenage Engineering hardware as references pushes Gemini toward more tactile, “real button” UI. greg-take-02
The “Gains” workout app, modeled on the Brain Rot app, demonstrates that AI can remix an existing product pattern into a new behavior-change app with streaks, goals, and a reactive mascot. greg-take-02
Greg’s big takeaway: good ideas + taste + references + Gemini 3.0 let non-designers ship highly differentiated experiences, raising their odds of standing out. greg-take-02
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