> For the complete documentation index, see [llms.txt](https://docs.aisuru.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aisuru.com/en/advanced-features/user-management/difference-between-authors-and-roles.md).

# Difference between authors and Roles

Managing access and roles is fundamental to creating personalized experiences with your Agent on AIsuru.

### Admins / Authors: the Agent's managers

Authors, or admins, are the main people responsible for the Agent and have full access to all its features:

* **They manage the Agent's content, settings, and configurations**
* **They invite new authors** and create new Roles

{% hint style="danger" %} <mark style="color:red;">**Admins have full control over the Agent**</mark> <mark style="color:red;"></mark><mark style="color:red;">and are responsible for its overall management</mark>&#x20;
{% endhint %}

### Roles: personas for personalization

"Roles" in AIsuru represent **specific categories or personas**, enabling advanced customization of interactions:

* They're not necessarily tied to real users
* They can represent abstract roles (e.g., "Developer", "VIP Customers")
* They let you provide tailored responses based on the user's role

{% hint style="success" %} <mark style="color:green;">Use Roles to create</mark> <mark style="color:green;"></mark><mark style="color:green;">**highly personalized experiences**</mark> <mark style="color:green;"></mark><mark style="color:green;">for different types of users of your Agent</mark>&#x20;
{% endhint %}

### Users: the Agent's conversation partners

Users **are the people who interact directly with the Agent**:

* They can be registered on the platform or interact with your Agent as guests
* They ask questions and receive answers from the Agent
* Their experience can be personalized based on their role or category (if they're not registered, [set the Role in a sharing layout](/en/sharing/create-and-manage-sharing-layouts.md#advanced-parameters))

Understanding these distinctions will help you structure your Agent effectively, ensuring the right level of access and personalization for each type of interaction. Make the most of these features to create a truly tailored AI experience for your users!