AI Agents help you automate recurring interactions with users while improving the quality of responses.

They are particularly suitable for:

When you open the AI Agents section, you can create a new AI Agent directly.

You have two options:

The internal chatbot accesses platform-internal content and knowledge.
This makes it particularly suitable for supporting members with questions and providing context-based responses.

Alternatively, you can integrate an external chatbot through n8n. It has similar configuration options to the internal chatbot, but does not have access to platform-internal knowledge.

The chatbot editor is divided into two areas:

This lets you test changes directly and review its behavior and design in real time.

The settings are divided into three main areas: Design, Prompt, and Knowledge.

In the Design area, you define the appearance of your chatbot.

Here, you can define the name and description and customize the visual design, such as colors or the background.

In the “Prompt” area, you define your chatbot's behavior and interactions.

This area is divided into two parts:

Personality settings

Here, you define the chatbot's basic behavior. You decide whether the chatbot should act as a Coaching Bot or a Form Assistant.

The differences between these two options are explained in detail in a separate article.

Conversation settings

Here, you determine how the interaction with the chatbot works and how a conversation is started.

There are three options:

These settings affect how users begin interacting with the chatbot.

In the “Knowledge” area, you define the basis on which your chatbot generates responses.

This area differs depending on the chatbot type. The following settings apply to the internal chatbot.

The area is divided into three subcategories:

AI Knowledge & Responses

Here, you define which AI model is used and what the chatbot's responses should be based on.

You can choose whether the chatbot accesses only your content and Platform Knowledge or also uses the AI's general knowledge.

Using the AI's general knowledge in addition can be helpful for providing broader responses. However, this can also make responses less precise or not fully relevant.

Course Content

Here, you define which content within the platform the chatbot can access.

Which option makes sense depends on the particular use case. For example, a Coaching Bot that answers questions about a specific Lesson should only have access to that content so that responses are as precise as possible.
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The AI Agent can use not only the Lesson text, but also file attachments, images used in Lessons, and links that have been added.

Additional Content

Here, you can add further knowledge that does not come directly from Course Content. This includes documents and Member Properties.

Member Properties allow the chatbot to take existing information about users into account. For example, the chatbot can respond more individually to a person if certain information is already known.
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Only Member Properties with the visibility setting “Editable” or “Visible” can be selected here.

For the external chatbot, the Knowledge area is called N8N Settings and has a different structure. It consists of two parts:

Important:
The external chatbot does not have access to Platform Knowledge or Course Content.
The only platform-internal data that can be used are the selected Member Properties.

The article “N8N Chatbot Overview” explains exactly how an N8N chatbot can be integrated.

As soon as your AI Agent is fully configured, you can publish it and use it in the platform, for example in Lessons or Hubs.

A separate article explains in detail how the integration works.

In addition to creating and configuring your AI Agents, LearningSuite also provides an overview and analysis of the chats conducted.

The Chatbot Overview displays all created AI Agents in a table.

Here, you can see at a glance:

Using the action icons on the right, you can:

Click the message icon and the Chats chip to access the individual conversations for the respective chatbot.

In the Chat Details view, you can track in detail how users interact with your chatbot.

The view is divided into two sections:

You also receive important information such as:

This view is particularly helpful for:

These two areas give you the transparency you need not only to create your AI Agents, but also to continuously improve them.

If you have any questions, please contact our support Team in the Help Center at the bottom left. We usually respond within 5 minutes on weekdays from 09:00 to 17:00.