> For the complete documentation index, see [llms.txt](https://docs.lleverage.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.lleverage.ai/external-apps-integration/google-docs.md). # Google Docs Google Docs integration in Lleverage connects your workflows and agents to your documents, so they can create and edit docs, pull content out for processing, and export finished documents automatically. ### How to Connect 1. **Go to Settings > Connections** in your project 2. **Pick Google Docs** from the list of apps 3. **Choose which actions** the connection should allow and who should have access (shared or personal) 4. **Choose "Connect Now"** and sign in with Google, or send an authentication link so a colleague can connect on your behalf ### What Google Docs Can Do * **Creating and finding** - create new documents and find existing ones * **Reading** - retrieve a document's details and its full content * **Editing** - append content, insert text at a position, and replace text throughout a document * **Exporting** - export a document to other formats for sharing or storage > 💡 **Use case**: Generate a report from workflow data, fill in a template by replacing placeholder text, or pull a document's content into an AI step for summarising. ### Important Considerations * The connection works with documents the signed-in Google account can access * Replace text is handy for template-style documents: keep placeholders in the doc and let the workflow fill them in --- # 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://docs.lleverage.ai/external-apps-integration/google-docs.md?ask=&goal= ``` `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.