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

# How AI Agents Work

Build, explore, and improve your AI Agents with ease 

At Agent Supply, we use the term AI Agent to describe intelligent virtual assistants designed to automate tasks and respond to your customers using the specific knowledge of your business. Whether it’s for sales, support, or operations — your agents are fully tailored to your needs. 

### **What’s an AI Agent?** 

An AI Agent is a smart assistant trained on your company’s data. It can answer questions, guide users, qualify leads, manage requests, and even trigger actions — all in real time and with 24/7 availability. 

### My AI Agents <a href="#my-chatbots" id="my-chatbots"></a>

Here you’ll see a visual dashboard with all the AI Agents you’ve created in your account. From here, you can edit, duplicate, or monitor their performance.

<figure><img src="/files/ZstClfnyYaUd5DP962XU" alt=""><figcaption></figcaption></figure>

### Create a New AI Agents <a href="#create-a-new-chatbot" id="create-a-new-chatbot"></a>

This step-by-step process will guide you through setting up a new Agent, selecting its use case (support, sales, booking, etc.), uploading your data or URLs, and configuring its behavior.

<figure><img src="/files/3fBjhuy8DzPpVxCUQVQt" 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, and the optional `goal` query parameter:

```
GET https://docs.agentsupply.ai/ai-features/ai-agents/how-ai-agents-work.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.