Gemini 3 in Google AI Studio: Imagination Is Your Only Limitation

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This week, everything changed for developers and creators. Google released Gemini 3, its most powerful model yet. But the real revolution isn't just the model—it’s how you interact with Gemini 3 in Google AI Studio.

If you have ever wanted to build an app but got stuck on the syntax, backend setup, or complex coding, those barriers just vanished. We have entered the era of "natural language programming," where describing what you want is almost as good as building it. In my latest video tutorial, I put Gemini 3 in Google AI Studio to the test, seeing just how fast we could go from a blank screen to deployed applications.

1. Vibe Coding with Gemini 3 in Google AI Studio

The first thing you'll notice in the new AI Studio is the "Build" mode. You don't start with code; you start with a conversation. For our first test, I asked Gemini 3 to build a simple Chess game.

The Google AI Studio Build interface is generating code from a text prompt

As you can see above, the preview window updates in real-time. I didn't need to program the rules of En Passant or Checkmate; the model already "knows" logic. Within seconds, we had a playable board.

A functional Chess game running inside the Google AI Studio preview.

2. Going Multimodal: Audio and Visuals

Text logic is great, but Gemini 3 shines with multimodal capabilities. I wanted to test if it could handle audio and interactive graphics, so I built a Virtual Piano and a Minecraft-style Chinese Quiz.

A virtual piano app built with Gemini 3 using CSS animations and audio

For the piano app, I simply asked for a "Lego style" look and keys that light up. The AI wrote the CSS animations and automatically wired up the audio files. This is what we call "Vibe Coding"—you set the aesthetic (the vibe), and the AI handles the implementation.

3. The "Super App": Search, Image, and Video

The most advanced test was building an "AI Data Science Teaching Assistant." I wanted to see if I could chain together three powerful tools into one workflow:

1. Google Search (to find real-time info).

2. Nano Banana (to generate images).

3. Veo 3 (to generate video).

An AI agent searching the web for Data Science concepts

The app successfully searched for "Vector Databases," summarized the info, created an infographic using Nano Banana, and then—without any extra prompting—sent the image to Veo 3 for animation.

The AI-Generated Result

Here is the actual video clip that the app generated autonomously during my recording:

Important: API Pricing & Limits

While the code generation features are free to try, remember that not all APIs have a free tier.

• Gemini 3 (Text/Code): Generous free tier for testing.

• Veo 3 (Video) & Nano Banana (Images): These are high-compute models. They usually require a paid billing account attached to your Google Cloud project.

Always check the "Usage" tab in AI Studio to avoid unexpected limits or costs.

4. Deploying to the World

Finally, an app isn't helpful if it stays on your computer. AI Studio now has direct integration with GitHub and Google Cloud.

The deployment menu in Google AI Studio shows GitHub export options

You can export your entire project to a new GitHub repository with one click, or deploy it to Google Cloud Run to get a public URL.

Conclusion

The barrier to entry for software development has never been lower. You don't need a large team or years of coding experience to build functional, impressive tools.

As I said in the video, imagination is truly your only limitation.