# Actian AI Analyst Explorer

Actian AI Analyst Explorer is the interface where business teams get answers from their data. Ask questions in plain language, explore results, and re-run proven queries — no SQL or data knowledge required.

Explorer is the counterpart to Studio: Studio is where data teams build and configure AI Analysts; Explorer is where everyone else uses them.

## Access

Actian AI Analyst uses two roles to separate configuration from daily use:

* [**Admin**](/settings/members.md) — full access to both Studio and Explorer. For data teams who build and test AI Analysts.
* [**User**](/settings/members.md) — access to Explorer only. For business users who interact with configured AI Analysts.

## Mobile

Explorer is fully supported on mobile devices — query your data and view results from anywhere. Studio is desktop-only due to its complex configuration interface.

## In this section

* [Actian AI Analyst Explorer](/explorer/working-with-agents/wobby-explorer.md) — Overview of the Explorer interface
* [Asking Questions](/explorer/working-with-agents/asking-questions.md) — Conversations, follow-ups, Plan Mode, and sharing
* [Saved Prompts](/explorer/working-with-agents/saved-prompts.md) — Reuse your team's proven queries
* [Plan Mode](/explorer/working-with-agents/plan-mode.md) — Let the AI Analyst outline its approach before starting
* [Reports](/explorer/working-with-agents/reports.md) — Build structured reports from your analysis
* [Artifacts](/explorer/working-with-agents/artifacts.md) — Save and revisit charts, tables, and reports
* [Tips for Asking Questions](/explorer/working-with-agents/tips-for-quick-analysis.md) — How to write effective questions

{% hint style="info" %}
Deep Analysis and Quick Analysis modes have been retired. Use [Plan Mode](/explorer/working-with-agents/plan-mode.md) instead.
{% endhint %}


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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/explorer/working-with-agents.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.