> For the complete documentation index, see [llms.txt](https://docs.myalice.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.myalice.ai/api-integration/raven/introduction.md).

# Introduction

**Introduction**

Welcome to the Quick Start guide for **Raven**! This guide will walk you through the essential steps to set up your account, create your first AI Agent, and integrate it into your platform seamlessly.

**What is Raven?**

**Raven** is an AI-driven platform designed to help businesses build custom AI Agents tailored to their unique data and needs. By integrating Raven into your website or social channels, you can enhance customer support, boost lead generation, and engage users more effectively.

**Key Features:**

* **Custom AI Agents**: Train AI agents using your own content, such as documents, websites, or databases, to deliver accurate and relevant responses.<br>
* **No-Code Integration**: Embed AI agents into your site or platform effortlessly, without requiring advanced coding skills.<br>
* **Advanced Analytics**: Track AI agent interactions to understand user behavior and continually refine performance.<br>
* **Multi-Platform Deployment**: Launch AI agents on websites, mobile apps, and messaging services to connect with users across channels.<br>
* **Lead Generation Capabilities**: Capture and manage leads through AI-driven conversations, streamlining your sales and marketing workflows.<br>
* **Privacy & Security**: Protect your data with strong encryption and access control measures.<br>

With **Raven**, businesses can offer round-the-clock support, engage users through meaningful conversations, and automate routine interactions — improving efficiency and customer satisfaction.


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# 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.myalice.ai/api-integration/raven/introduction.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.