# What is ModAI?

​ModAI is an AI-powered support bot designed for Discord servers. It integrates with your server to handle support tickets by leveraging your existing knowledge base, such as documentation, FAQs, and website content. This allows ModAI to automatically respond to common inquiries, reducing the workload on your support team.

**👉 Key Features:**

* **Knowledge Integration:** ModAI comprehends and utilizes information from various sources, including uploaded documents and scraped website data, to provide accurate answers within Discord.
* **Intelligent Ticket Management:** The bot can automatically address routine questions and escalate more complex issues to human support when necessary, ensuring efficient handling of support tickets.
* **Multilingual Support:** ModAI is capable of understanding and responding in over 30 languages, facilitating effective communication with a diverse user base.
* **Operational Efficiency:** By automating responses to common queries, ModAI helps reduce the volume of routine support tickets and decreases response times, leading to significant time and cost savings for support teams.

ModAI is utilized by numerous Discord servers across various communities, including organizations like Hacktoberfest, Python, Stock VIP, LuxAlgo, and Midjourney, to enhance their support operations.


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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://modai-2.gitbook.io/modai/introducing-modai/what-is-modai.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.
