# How to Get Started ?

You can get started quickly on Zerve by using one of the following methods:

* **Chat with our AI Agent** **:** Chat with our context aware AI agent that is built specifically for data science. Type in a prompt and watch the agent go.
* **Explore Playground :** This option will kickstart an interactive tutorial with a playground project to show all the features available.
* **Create Canvas :** You can create a canvas and start building your own project with your data
* **Navigate to Notebook View :**  You can also navigate to a notebook view by using the process shown below.
* **Browse Example Datasets :** By using this option, you can import popular opensource datasets into a canvas and start exploring.
* **Explore Popular Canvases :** Here you can find popular public canvas that has been publish by other users.
* **Import Jupyter Notebook :** Select the notebooks from your computer and drop them into an empty canvas. Zerve will process each cell and code blocks will be added to the canvas.

<figure><img src="/files/8DUaxpXMAWREVYsjlllK" alt=""><figcaption></figcaption></figure>


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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.zerve.ai/guide/how-to-get-started.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.