# Mito AI Core Concepts

**Installing Data Copilot**

Start by [creating a virtual environment](/getting-started/installing-mito/setting-up-a-virtual-environment.md), then run: 

```
 pip install mito-ai mitosheet
```

Then, follow these instructions to [create a mitosheet](/how-to/creating-a-mitosheet.md) and [use AI](/mito-ai/chat.md).

## Features

Mito AI is a suite of  context-aware AI Chat and error debugging tools to help you get the most from LLMs. No more copying and pasting between Jupyter and ChatGPT/Claude, or wasting time looking up Python syntax. Data Copilot integrates all of the tools you need directly into Jupyter. 

<table data-view="cards"><thead><tr><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Agent</strong> can build and edit full notebooks for you!</td><td><a href="/files/7aCJTmsgooHIyYWL2yzq">/files/7aCJTmsgooHIyYWL2yzq</a></td><td><a href="/pages/JoqiePdF2O4kZGF6DkqK">/pages/JoqiePdF2O4kZGF6DkqK</a></td></tr><tr><td><strong>Chat</strong> is like collaborating with a colleague who sees your code, knows your data, and is a Python expert.</td><td><a href="/files/PfKhydue8EYTI5oAjjBG">/files/PfKhydue8EYTI5oAjjBG</a></td><td><a href="/pages/sVf98WL7Dlj3ndNEdRXB">/pages/sVf98WL7Dlj3ndNEdRXB</a></td></tr><tr><td><strong>Smart Debugging</strong> identifies and fixes your errors so you can focus on your data and code, not the typos.</td><td><a href="/files/bgqAVeOUPofoukcWGi1k">/files/bgqAVeOUPofoukcWGi1k</a></td><td><a href="/pages/rPIB7E4wi8O7Nt9FujkS">/pages/rPIB7E4wi8O7Nt9FujkS</a></td></tr></tbody></table>


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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://docs.trymito.io/mito-ai/data-copilot.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.