> For the complete documentation index, see [llms.txt](https://university.mindstudio.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://university.mindstudio.ai/deployment-of-ai-agents/embedding-ai-agents/guest-access-embed-on-webflow.md).

# Guest Access Embed on Webflow

## Overview

Allow anyone to access your AI agent by enabling guest access. This is an easy method to embed  your AI agent.

## Enable Guest Access

Enable guest access to your AI agent.

1. Select the name of your AI agent.
2. Select **Embedding** under **Sharing**.
3. Select **Enable Guest Access**.
4. Copy the code to embed into your website.

## Add to Webflow

Add the embed code to your Webflow website.

1. Open your **Webflow Dashboard**, then do one of the following:
   1. Select **New site** to create a new site, then select **Blank site**.
   2. Open your blank website in **Design** mode.
2. Select your blank page.
3. Click the **+** button from the left-side toolbar to add an element.
4. Search for "embed", then select the **Code Embed** element.
5. Paste the code you copied from MindStudio into the Code block. 
6. Resize the MindStudio embed code as necessary in one of the following ways:
   1. Resize the MindStudio embed code to ensure your AI agent fits comfortably (e.g., set width to 100% of the container and height to 600px+).
   2. Double‑click your **Code Embed** element on the canvas to reopen the custom code editor. In the iframe tag, change the height value, for example: `height="600"` for a fixed pixel height, or `height="100%"` to let it fill its parent container. Set width to, for example: `width="800"` for a fixed pixel height, or `width="100%"`.
   3. Select the **Code Embed** element itself (not the iframe code) on the canvas. In the right‑side **Style** panel, set a width and height under **Size** so the Embed box fits your AI agent well.
7. Click **Publish**. Your AI agent is live.


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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://university.mindstudio.ai/deployment-of-ai-agents/embedding-ai-agents/guest-access-embed-on-webflow.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.