The host successfully prompted Google's Gemini 3.0 to redesign his personal website in the style of Microsoft XP. This demonstrates that AI can move beyond generic templates by leveraging unconventional, nostalgic design languages, creating a memorable user experience that stands out.
When iterating on a Gemini 3.0-generated app, the host uses the annotation feature to draw directly on the preview to request changes. This visual feedback loop allows for more precise and context-specific design adjustments compared to relying solely on ambiguous text descriptions.
To design a SaaS dashboard, the host provided Gemini 3.0 with two distinct references: a clean UI from Dribbble for layout and a physical Teenage Engineering product for button inspiration. This blending of digital and physical design cues resulted in a unique and more tactile interface.
The host notes that while Gemini 3.0 is available in other IDEs, he achieves higher-quality designs by using the native Google AI Studio directly. This suggests that for maximum performance and feature access, creators should use the first-party platform where the model was developed.
With AI tools like Gemini 3.0 democratizing execution, the ability to generate unique, scroll-stopping ideas and provide strong design references becomes the key differentiator. Good taste and a clear vision now matter more than the technical ability to implement a design from scratch.
The host prompted Gemini 3.0 to create a fitness app using screenshots of "Brain Rot," an anti-scrolling app. He asked the AI to replicate its mascot and gamification style for a new purpose. This shows AI's ability to abstract a design "vibe" and translate it across different domains.