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Documentation
Code samples, guides, and API reference you need for whatever you're building.
For agents: Chrome developer documentation: code samples, guides and API reference, especially built-in client-side AI APIs and on-device model caching for web apps.
chromebuilt-in aiweb apisclient-side aibrowser developmentmodel caching
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-23T01:05:31.802Z. Cached copy · Source on chrome.com
# Documentation
Code samples, guides, and API reference you need for whatever you're building.
## Docs
- [Documentation](https://developer.chrome.com/docs.md.txt): Code samples, guides, and API reference you need for whatever you're building.
- [Accessibility](https://developer.chrome.com/docs/accessibility.md.txt)
- [Artificial Intelligence in Chrome](https://developer.chrome.com/docs/ai.md.txt): Learn about building with client-side AI in Chrome.
- [Built-in AI](https://developer.chrome.com/docs/ai/built-in.md.txt): Learn about AI on the web with Chrome.
- [Built-in AI APIs](https://developer.chrome.com/docs/ai/built-in-apis.md.txt): Built-in AI is the latest offering for bringing powerful models to users, while protecting sensitive data and improving latency.
- [Cache models in the browser](https://developer.chrome.com/docs/ai/cache-models.md.txt): To make future launches of your AI-powered applications faster, explicitly cache the model data on-device.
- [When to choose client-side AI](https://developer.chrome.com/docs/ai/client-side.md.txt): Client-side AI brings powerful models to users, while protecting sensitive data and improving latency.
- [Debug Gemini Nano](https://developer.chrome.com/docs/ai/debug-gemini-nano.md.txt): There's a special Chrome-internal page to see details on prompts to Gemini Nano. This guide explains how make use of it for debugging.
- [Evaluate product reviews with AI](https://developer.chrome.com/docs/ai/evaluate-reviews.md.txt): Client-side AI is the latest offering for bringing powerful models to users, while protecting sensitive data and improving latency.
- [Hybrid AI prompting with Firebase AI Logic](https://developer.chrome.com/docs/ai/firebase-ai-logic.md.txt): Use Firebase AI Logic with your AI apps for a cloud fallback if built-in AI APIs aren't supported.
- [Get started with built-in AI](https://developer.chrome.com/docs/ai/get-started.md.txt): Learn the requirements to start building features and applications with built-in AI.
- [What is artificial intelligence?](https://developer.chrome.com/docs/ai/glossary.md.txt): Understand the difference between built-in AI, client-side AI, and server-side AI, and so much more.
- [Inform users of model download](https://developer.chrome.com/docs/ai/inform-users-of-model-download.md.txt): This guide explains how to improve the user experience while waiting for built-in AI models and their customizations to download, extract, and load into memory, offering both client-side only and hybrid implementation strategies.
- [Join the early preview program](https://developer.chrome.com/docs/ai/join-epp.md.txt): Sign up for the early preview program.
- [Thanks for signing up to the EPP](https://developer.chrome.com/docs/ai/join-epp/success.md.txt): Thanks for joining the built-in AI early preview program.
- [Language detection with built-in AI](https://developer.chrome.com/docs/ai/language-detection.md.txt): The Language Detector API offers built-in language discov
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