> For the complete documentation index, see [llms.txt](https://docs.zenlytic.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zenlytic.com/proactive-agents/publish.md).

# Publish

By default, Proactive Agents are private to you, however, we can allow others in our organization to run and extend our Proactive Agents when they are ready. The following image shows the "Publish Proactive Agent" popover that appears after clicking "Publish" in the Proactive Agent Builder Header.

After pressing '+ Add Group', we can select a workspace 'group' and give the group an 'access level' of Viewer, Editor, and Owner. For example, I've given all users in my workspace the ability to View the following Proactive Agent. See the table below for more detail on Proactive Agent access levels.

<table data-header-hidden><thead><tr><th width="312.6796875"></th><th></th></tr></thead><tbody><tr><td><strong>Access Level</strong></td><td><strong>Description</strong></td></tr><tr><td>OWNER</td><td>can run, edit, and share the Proactive Agent</td></tr><tr><td>EDITOR</td><td>can run and edit the Proactive Agent, but not share</td></tr><tr><td>VIEWER</td><td>can run the Proactive Agent, but cannot edit or share</td></tr></tbody></table>

<figure><img src="/files/81nFB5BKbDDJvRIDhodM" alt=""><figcaption></figcaption></figure>


---

# 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:

```
GET https://docs.zenlytic.com/proactive-agents/publish.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
