Google Gemini 3 Pro Builds Apps in Seconds

After This, Old Tools Hurt

November 20, 2025

I’m still trying to process what I just saw.

I was digging around for the latest in AI and stumbled upon a breakdown of Google’s brand-new model, and honestly, it looks like a massive leap forward.
The expert who shared it, an AI professional, put Gemini 3 Pro through a series of intense tests, and the results are pretty mind-blowing.

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This isn’t just another incremental update. The creator is calling it the first model in the Gemini 3 lineup, and it’s built as a “thinking model.” This means it takes a bit more time to generate a response, but the quality of that response is on another level. It’s also armed with a colossal 1 million token context window, which dwarfs the 200k-ish windows we’re used to. This means it can remember an incredible amount of information from your conversation.

What really caught my attention is a feature the creator showcased called Canvas. This isn’t just about getting text or code back from the AI. With a single prompt, Gemini 3 Pro can build fully interactive, visual dashboards and mini-apps right inside the chat window. I think this ability to create dynamic tools on the fly, instead of just static responses, is a huge deal.

The best part? The creator notes that this new powerhouse model is already the default for everyone, including free users, at gemini.google.com.

From Prompt to Interactive App in Seconds

This is where my jaw really dropped. The expert didn’t just ask for ideas; they prompted for complex, functional tools and got them on the first try. In one example, the person who shared it requested a detailed mortgage calculator for a multi-unit investment property with variable income.

Gemini didn’t just spit out formulas, it built a dashboard with interactive sliders for vacancy rates and interest, allowing you to see your break-even point change in real-time. With one follow-up prompt, it even added a “Generate Report” button that produced a detailed financial summary based on the slider inputs!

In another test that had previously stumped other models, this contributor asked for an interactive 24-month revenue projection table. Gemini 3 Pro built it flawlessly. The table was live, with all calculations updating instantly as the user changed assumptions like monthly recurring revenue or churn rate. The creator even double-checked the math, and it was all correct from the get-go. This is an incredible tool for anyone doing financial modeling or business planning.

Next-Level Reasoning and Vision

It’s one thing to be good with text and code, but the creator’s tests showed Gemini 3 Pro has some serious smarts when it comes to understanding images and video. The expert used two visual puzzles that have famously tripped up other leading AIs.

The first was a 3D block image asking, “How many cubes are there?” After a few seconds of thinking, Gemini correctly answered nine. The second was even trickier, requiring it to identify the correct top-down view of a pyramid based on subtle color patterns on its sides. Again, it nailed it, even explaining its reasoning process.

But it gets better. The creator then uploaded a silent video file, a screen recording of them using the Gemini interface. Without any audio or text cues, the model analyzed the video frame-by-frame and perfectly described everything that was happening on screen. It even analyzed a clip of a pickleball game and provided strategic feedback on the players’ performance. This shows its multimodal capabilities are incredibly advanced, moving far beyond simple object recognition into genuine content analysis.

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A Coder and a Writer in One Package

Beyond the flashy dashboards, the model excels at the core tasks we rely on AIs for. The creator wanted to see if it could build a game, so they prompted it to create a classic arcade shooter similar to Galaga. Using the Canvas tool, Gemini generated a fully playable game called “Neon Swarm” complete with keyboard controls, a scoring system, and enemy ships.

There was even a built-in button to “ask Gemini features,” which suggested adding wave progression and multiple lives. While the first attempt to add features caused a UI bug, a quick restart in a new chat delivered a perfectly working updated version.

For writing, the mind behind it gave it a straightforward but tricky task: write a 500-word, SEO-optimized blog post for non-technical readers about Gemini 3, with a strict rule to not use any em-dashes.

The model delivered a high-quality, easy-to-read article that successfully avoided the forbidden punctuation. While it overshot the word count (producing 576 words), which is a common AI quirk, the quality of the prose on the very first prompt was impressive. This shows it can be a reliable partner for both creative coding and content creation.

These tests show a huge step up in capability. I was blown away by the mix of raw power and practical application.

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