# Welcome to Actian AI Analyst

Actian AI Analyst lets your team ask questions about your data in plain language and get instant, accurate answers — without writing SQL or knowing your database structure.

## Two products, two roles

Actian AI Analyst has two interfaces designed for different people:

|                 | **Studio**                                                    | **Explorer**                                                                                           |
| --------------- | ------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------ |
| **For**         | Data teams & analytics engineers                              | Business users & analysts                                                                              |
| **What you do** | Connect data, build AI Analysts, configure the semantic layer | Ask questions, explore data, run analyses                                                              |
| **Access**      | [Admin](https://docs.wobby.ai/settings/members) role          | [Admin](https://docs.wobby.ai/settings/members) or [User](https://docs.wobby.ai/settings/members) role |

Not sure which one you are? If someone at your company set up an AI Analyst and invited you to use it, you're a [*User*](https://docs.wobby.ai/settings/members). If you're the one building and configuring AI Analysts, you're an [*Admin*](https://docs.wobby.ai/settings/members).

## Get started

* [I'm an Admin →](https://docs.wobby.ai/quick-start/getting-started-studio)
* [I'm a User →](https://docs.wobby.ai/quick-start/getting-started-explorer)


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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.wobby.ai/readme.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.