Gemini 3 is nuts. I’m not exaggerating—this model is incredibly capable. We were able to create things like voxel art generators, ray tracing simulators, golf swing analyzers, orbital simulations, and even a custom Monopoly board game generator essentially from scratch.
In this guide, I’m going to break down exactly how we pushed this model to its absolute limits, creating complex procedural simulations directly in the browser.
- How to generate procedural Voxel Art robots using JSON blueprints.
- Building "House of Mirrors" ray tracing demos with simple prompts.
- Using Gemini's frame-by-frame video ingestion for sports analysis.
🎥 Watch the Full Breakdown
Source: Original Video
1. Procedural Voxel Art Generation
We started by taking a voxel art generator provided by the Gemini team at launch and making it our own. The goal? Procedurally generated robots. We had to go back and forth a couple of times to get the physics right, but the result is a beautifully generated voxel robot that you can actually interact with.
The coolest part is the "Scrap" feature. You can shatter the robot—which triggers a incredibly satisfying physics animation—and then reassemble it into a new random robot instantly. Up in the blueprints section, you can import JSON to generate specific designs, or you can ask Gemini to build something custom, like a "retro polaroid camera."
[Caption: The Voxel generator allows for "scrapping" and reassembling assets via JSON.]
2. Building Advanced Physics Simulators
Moving beyond static art, we tasked the AI with creating a Ray Tracing Simulator. The prompt was specific: "I want to create an app that showcases 3D ray tracing of metal textures... basically a walkthrough house of mirrors."
The result ran decently well in the browser. You could see the reflections in the mirror, metallic pieces floating around, and the light bouncing around the room. It wasn't perfect—there were some artifacts—but for a browser-based AI generation, seeing lights reflect correctly off two surfaces is impressive.
The "Newtonian" Gravity Engine
We also built an interactive N-body gravity simulation. The system allows users to dynamically add new planets or moons, specifying properties like mass and initial velocity. When you add a body, the system automatically recalculates gravitational interactions.
We tested this by adding a "Rogue Star" and even a Black Hole. The simulation accurately showed the black hole sucking in the surrounding planets and altering orbital paths based on mass proximity.
| Simulation Type | Capabilities & Results |
|---|---|
| AI Bubble Simulator | Macroeconomic sim with "Minsky Cycles." Allows you to pump capital into a company until the "bubble pops." |
| Golf Swing Analyzer | Uses Gemini's frame-by-frame ingestion to analyze hips/shoulders and compare your swing to pro golfers like John Rahm. |
| Nano Banana | A "Powers of 10" zoom animation tool. Zooms from the universe level down to subatomic scales seamlessly. |
| Custom Monopoly | Generates a playable board based on themes (e.g., Donkey Kong) with negotiating AI opponents. |
Want to automate these workflows?
Try Zapier Unified Copilot[Caption: The N-Body Gravity simulator visualizing a black hole event.]
The Good & The Bad
✅ Pros
- "Gemini can actually read videos frame-by-frame," which is a huge differentiation for sports analysis.
- Procedural generation allows for infinite variations (like the robot scrapper).
- Capable of handling complex physics logic (Newtonian gravity) directly in the browser.
❌ Cons
- Heavy simulations (like the Collider) can run "very slowly in the browser" due to calculation load.
- API Quota limits: We ran into "Connection to AI core is unstable" errors during the particle collider test.
- Visual artifacts still appear in ray tracing demos.
3. Important Warnings & Risks
While the "AI Bubble Simulator" is fun, it actually outputted data on "Ponzi units" and "speculative bubbles." It's an educational tool showing the difference between value creation and hype cycles.
Furthermore, when running high-compute simulations like the Tokamak Plasma Sim, we actually ran out of API call quota. The analytic terminal stopped working and gave us a connection error. These tools are powerful, but they are resource-intensive.
4. Final Verdict
Gemini 3 is proving to be a powerhouse for interactive, code-based generation. From rebuilding voxel engines to analyzing golf swings with deep video ingestion, the barrier to entry for building complex apps has never been lower.
If you want to replicate these results, grab the prompts, watch your API usage, and start building.
Frequently Asked Questions
Can Gemini 3 analyze video files directly?
Yes. Unlike many other models, Gemini ingests video frame data natively. We used this for the "SwingPro.ai" demo, where it analyzed a golf swing frame-by-frame to give a score and pro comparisons.
Is the Voxel Art generator free to use?
The code generated by Gemini allows you to build the tool yourself. The example shown uses a voxel generator provided by the Gemini team which we then modified with custom prompts to add "scrapping" and physics.
Why does the Ray Tracing simulation lag?
Ray tracing requires heavy calculation. Since this is running in the browser via AI-generated code (likely using WebGL/Three.js), performance depends on your local hardware and the efficiency of the generated code.
Final Thoughts
The gap between "idea" and "working prototype" has essentially vanished. Whether it's a gravity sim or a retro camera generator, Gemini 3 is ready to build it.
Disclaimer: This content is for educational purposes. Tools and brands mentioned (Zapier, Donkey Kong, Monopoly) are property of their respective owners.
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