Build features powered by AI on the web.
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Built-in AI

With built-in AI, your browser provides and manages foundation and expert models.
Discover how your websites and web applications can perform AI tasks with browser-managed AI models and APIs.
Learn the requirements to start building features and applications with built-in AI.
Review the APIs and their availability status to use with built-in AI in Chrome.
COURSE

Evaluations (or evals) are tests for your AI features. When you create a robust evals pipeline, your LLM-based features will work well for your users. Then, you can ship your features with confidence.

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Reliable agent calls with WebMCP

WebMCP aims to provide a standard way to expose structured tools, so that AI agents can perform actions on your site with increased speed, reliability, and precision.
Get started
Step 1

Your site declares the actions an agent can take, as WebMCP tools. Each tool has a name, description, and JSON schema.

// Imperative API
document.modelContext.registerTool({
  name: "bookSlot",
  title: "Book a consultation slot",
  description: "Reserve a 30-minute consultation.",
  inputSchema: {
    type: "object",
    properties: {
      date:  { type: "string", format: "date" },
      time:  { type: "string" },
      name:  { type: "string" },
      email: { type: "string", format: "email" }
    },
    required: ["date", "time", "name", "email"]
  },
  annotations: { readOnlyHint: false },
  execute: async (input, client) => {
    return await api.book(input);
  }
});
Step 2

The browser collects and presents these tools to the user's WebMCP-aware agent, alongside the page's URL, title, and origin permission scope.

Your site speaks to the browser, which translates for the agent.
Step 3

The agent sees a contract, supplies structured arguments, and your code does the rest. The user stays in the loop for permission and confirmation. No more guessing.

// the agent's view
{
  "tool": "bookSlot",
  "arguments": {
    "date": "2026-07-31",
    "time": "14:00",
    "name": "Jerry Jones",
    "email": "jerry.jones@example.com"
  }
}

Accelerate AI on the web

Improve compute and model performance with Wasm, WebGPU, and WebNN.
Learn more

Learn about improvements to WebAssembly for tasks commonly used in AI inference.

Read the doc Chrome Status

Discover WebGPU in Chrome and get first-class support for general computations on the GPU.

Read the overview Chrome Status

Use the WebNN API to perform machine learning operations in the browser.

Read the spec Chrome status
COURSE

Whether prompted by company mandates or enthusiasm, AI for AI's sake isn't useful. The best features come from a user need and are measured by the value they deliver.

In this course, you will learn how to think about building web applications with an AI system that is responsible, usable, and valuable, so that your application delivers on the technology's promise.

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AI browser tools

Chat with Gemini in DevTools. Conversations you start from this panel have context about technical details of the page you're inspecting.
Use the AI assistance panel to understand a website's overall layout, specific element styles and to get AI-generated fixes for CSS bugs.
Check out five ways to make styling your page easier, from understanding layouts to fixing airplanes.
Use the Console to view and debug the results of on-device AI.

AI and Gemini Nano news

Harnass the power of Gemini Nano in Chrome with our built-in AI APIs.
Learn how to use built-in AI APIs landing in Chrome, to enable your web app to translate, summarize, write, and rewrite content for your users. We discuss how to build hybrid workloads, and look to the future ofbuilt-in AI in the browser.
Discover the AI APIs
You can built client-side and cloud AI to optimize the web and browser for your needs and the needs of your customers.
Chrome Extensions with AI
With libraries like MediaPipe, LiteRT, and Transformers.js, and cutting-edge Web APIs like WebAssembly and WebGPU, you can build incredible AI-driven experiences.
Read the recap

Introducing web AI

web.dev
Understand the basics and definitions of the various emerging technologies, often referred to as AI.
Read the doc
web.dev
As web practitioners, it's critical that we build new technology thoughtfully and responsibly.
Read the doc
web.dev
Discover techniques to use client-side AI, which offers benefits such as low latency, reduced server-side costs, increased user privacy, and more.
Read the doc