> For the complete documentation index, see [llms.txt](https://docs.wobby.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.wobby.ai/quick-start/getting-started-explorer.md).

# Getting started as a User

Explorer is where you ask questions and get answers from your data — no SQL or technical knowledge needed. This guide gets you up and running in a few minutes.

{% hint style="info" %}
[Users](/settings/members.md) don't set up AI Analysts — that's done by your data team in Studio. If no one at your company has done that yet, share the [Studio quick start](/quick-start/getting-started-studio.md) with whoever manages your data.
{% endhint %}

## Step 1: Sign in

Go to [wobby.ai](https://www.wobby.ai/) and sign in. Your data team should have invited you — check your email for an invite link if you don't have an account yet.

## Step 2: Open an AI Analyst

After signing in, you'll see the AI Analysts available to you. Click one to open it in Explorer.

## Step 3: Ask your first question

Type a question in the chat input at the bottom of the screen and press Enter. Write naturally — as you would to a colleague.

Good questions are specific:

* "What was our revenue last month, broken down by region?"
* "Show me the top 10 customers by order value this quarter"
* "How many new users signed up last week compared to the week before?"

See [Tips for Asking Questions](/explorer/working-with-agents/tips-for-quick-analysis.md) for more examples.

## Step 4: Explore and follow up

Explorer maintains context throughout your session. After getting an answer:

* Highlight any text in the response to ask a follow-up about that specific part
* Ask a follow-up question in the chat to drill deeper
* Ask the AI Analyst to build a report when you've gathered enough analysis — *"Can you put this together into a report?"*

## Step 5: Use Saved Prompts

If your team has saved common queries, you'll find them on the **Saved prompts** tab on the homepage. You can also type `/` in the chat input at any time to browse and select a saved prompt.

See [Saved Prompts](/explorer/working-with-agents/saved-prompts.md) to learn more.

## Step 6: Save results

Charts, tables, and reports can be saved as **Artifacts** — named outputs that stay in your Explorer library and re-run their queries each time you open them. Click **\[Save]** on any chart or table card, or **\[Save artifact]** in the report panel footer.

See [Artifacts](/explorer/working-with-agents/artifacts.md) to learn more.

## Step 7: Share results

Every conversation has a unique URL — copy it from your browser to share a result with a teammate.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.wobby.ai/quick-start/getting-started-explorer.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.