# Using Zenlytic

Zenlytic is a LLM-powered AI data analyst (Zoë) that helps you go from facts to decisions. There are two primary ways to get answers in Zenlytic.

## How to get answers

* [**Zoë**](/using-zenlytic/zoe.md)
  * Zoë is an AI data analyst who uses your cognitive layer to answer questions about your data for you. She can answer questions about anything you can query using the [explore](/using-zenlytic/exploring.md) interface, create rich [Artifacts](/using-zenlytic/artifacts.md) (apps, documents, spreadsheets, presentations, and more) to answer complex data science questions, and integrates with both Slack and Microsoft Teams.
* [Explore](/using-zenlytic/exploring.md)
  * The explore question is a general purpose interface where you can answer the "What" questions that lead into the "Why" questions. For example, you could look at number of customers by acquisition channel who have spent more than $200 in the last 3 months in this question type. You can [slice](/using-zenlytic/exploring.md#slicing) and [filter](/using-zenlytic/exploring.md#filtering) key metrics easily.

## Dashboards

You can also access saved views of your data using dashboards. To get to the list of your company's dashboards, you can click on the Dashboards option in the top navigation bar. Then to go to a dashboard, click on it's name.

<figure><img src="/files/XjDwkXekWMteOOp5FVfb" alt=""><figcaption></figcaption></figure>

When you're on a dashboard page, you can click the three dots on any of the plots to go into an interactive interface to ask follow up questions about the plot.

<figure><img src="/files/wHAh0S91dWMQOHpKEJZN" 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.zenlytic.com/using-zenlytic/using_zenlytic.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.