Google AI Developers

Gemini 3.8 Flash is hardwired for complex reasoning. ⚙️ To test its skills, we built an interactive 3D visualizer with 3.8 Flash and @ThreeJS in @GoogleAIStudio. Watch the model generate realistic, physically-proportioned teardowns for hardware devices. It automatically decomposes devices into layers that users can explode and inspect with a deconstruction slider.

Can Gemini count the number of claps? 👏 Accurately counting rapid movements is a notoriously tricky task for AI. Because static processing ingests video at a fixed 1 FPS by default, split-second movements like a clap easily get missed entirely or get confused with a snap or click. Watch Gemini 3.7 Flash use the new agentic video understanding capability to accurately identify and count every single clap by automatically adapting the processing speed as needed:

We fed Gemini 3.7 Flash hundreds of PDFs from a Victorian book of botanical illustrations and tasked it with extracting and classifying these historical plants using the modern APG IV classification system. 🌳 💻 Watch how it brings its understanding to life in an interactive visualization built in @Antigravity:

Turn the web into an interactive visual encyclopedia with Nano Banana and Gemini Omni. 🌐✨ We built a Chrome Extension in @Antigravity with Gemini 3.7 Flash that lets you highlight any text to quickly generate rich, visual definitions while you browse for deeper learning. Check out the demo ↓

From a single prompt to a fully animated parallax landing page. 🤯 See how Gemini 3.7 Flash, combined with Nano Banana and Omni, builds interactive websites in one shot. Under the hood, 3.7 Flash calls the right tools to generate the copy, image references, and render parallax-ready Omni videos.

🗣️💬 Say hello to Gemini 3.5 Transcribe, a speech-to-text model that actually understands your codebase. Watch how this latest model filters out spoken hesitation while grounding technical terms, file names, and code variables precisely against the active context while building in @Antigravity. By using visual biasing, the model brings deep, screen-aware context to complex developer workflows.

Ever get stuck on a bug and wish the exact problem could be pointed out to you on screen? Watch how we used Gemini 3.8 Live Extended Thinking to build a coding tutor that sees your screen and uses function calling to reference the p5.js library, and talks you through the logic.

POV: Building your first cyberdeck with no experience ⚒️‼️ Check out this demo using Gemini 3.8 Live Extended Thinking to create a workshop assistant that analyzes your workspace, reasons with you out loud, and guides you through the entire build process.