The Startup Ideas Podcast · Greg Isenberg

I got a private lesson on Google's NEW Gemini 3.0 AI Model

·39 min·3 clips
Gemini 3.0 built a working talent matching app from a copied website idea in under 20 seconds.
Gemini 3 is treated like a build partner, not a slide-deck topic. Greg sets it up as a private walkthrough with Logan Kilpratrick, then keeps pulling the conversation back to what builders can use today. Logan promises live apps, and the pitch stays simple: Gemini 3 Pro is free in AI Studio, and it can turn prompts into product surfaces that are close enough to judge. The episode has real demo energy. They move through screens, ask for changes, wait for the output, and decide whether it feels like a real app or just another vibe-coded mockup. One dashboard gets a quick yes from Greg because it looks cleaner than expected. Logan then explains that Google's model infrastructure sits behind the scenes for contextual AI features. The team balancer lands better because it gets concrete. A fake enterprise roster can be analyzed, edited, and checked again, with the model still reading the profiles on the page. That is the useful bit. The app has enough context about its own data that the AI features feel built in, not pasted on later. Purple becomes the running joke, so Greg asks for a color change and five new AI features. The takeaway is plain: when the first build is close, keep steering it with sharper taste notes and feature requests. Logan keeps pointing higher, from 3D games to broader app building. Greg turns that into homework: use idea browser, screenshot an app, paste it into AI Studio, and build a fast version worth learning from.

As heard by us

A practical, fast-moving look at Gemini 3.0 that puts building ahead of hype.

Google's Gemini 3.0 launch is presented as a practical tour of what the model can do, with Logan Kilpatrick walking through ways to get more from it.

Read the full review in PlayNext →

Why you'd press play

You want a first look at Gemini 3 in action, with demos instead of a slick recap.

Read the full recommendation in PlayNext →
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