> For the complete documentation index, see [llms.txt](https://help.chatlyai.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.chatlyai.app/products-and-features/chatly-extension.md).

# Chatly Extension

Chatly Extension brings intelligent conversation to any webpage you visit. Instantly summarise articles, extract key details, and ask questions about the content you're viewing without leaving the tab. It transforms your browsing experience into an interactive dialogue, helping you research faster and understand more.

Open the side panel or use the floating widget to start chatting. You can switch between AI models, extract insights from YouTube videos, upload files for analysis, and access your entire chat history. Whether you're debugging code, reading long reports, or just browsing, Chatly Extension acts as your smart companion, ready to assist with context-aware insights and instant answers.

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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://help.chatlyai.app/products-and-features/chatly-extension.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.