# Inviting and managing authors

AIsuru lets you collaborate with other authors to manage your Agent. This is essential for teams working together on a conversational AI project, ensuring effective control and collaborative management of the Agent.

### Inviting new authors

Adding new authors to your Agent is a simple, straightforward process:

1. Go to the Agent's management panel;
2. Select "Roles" from the sidebar;
3. Find the **Invite author >**  **Add** button;
4. Enter the new author's email address;
5. (Optional) Add a message for your new author;
6. Click "Send" to complete the invitation.

✉️ The new author will receive an invitation email with instructions to accept it.

If they're not already registered, the new author will need to sign up on the platform first. Once registered, the user you invited **will be able to accept your invitation from the email they received or from the AIsuru homepage** (under "Shared with me").

{% hint style="danger" %}
**We recommend not editing the Agent at the same time as another admin**: you may run into data saving issues.
{% endhint %}

### Managing existing authors

To keep control of your author team:

1. Go to the "Roles" section in the Agent's management menu;
2. Click "Invite author" to view the full list of current authors;
3. To edit  or remove  an author, click the corresponding icon.

### Tips for effective management

* **Only invite trusted people** as authors;
* **Communicate roles and responsibilities clearly** to team members;
* **Carry out periodic reviews** of the author list;
* **Create internal guidelines** for using admin features.


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# Agent Instructions: 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.aisuru.com/en/advanced-features/user-management/inviting-and-managing-authors.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.
