> ## Documentation Index
> Fetch the complete documentation index at: https://docs.textql.com/llms.txt
> Use this file to discover all available pages before exploring further.

# What is TextQL

> TextQL is an AI data scientist that connects to your entire data stack and answers questions in plain language.

![TextQL welcome](https://mintcdn.com/textql/wnLSBqpI2oAn0dxe/images/how-it-works/ana/modes/textql-welcome-new.png?fit=max\&auto=format\&n=wnLSBqpI2oAn0dxe\&q=85\&s=e2b4294eb1b5e76aa7aff80d5e13c263)

TextQL connects to your data warehouses and systems of record so anyone in your organization can ask questions, run analyses, and get answers — all in plain language. Ana is TextQL's AI data scientist. She [writes SQL](https://docs.textql.com/core/how-it-works/tools/text-to-sql.md), [runs Python](https://docs.textql.com/core/how-it-works/tools/python), [searches the web](https://docs.textql.com/core/how-it-works/tools/web-search.md), and produces charts, [reports](https://docs.textql.com/core/how-it-works/playbooks.md), [dashboards](https://docs.textql.com/core/how-it-works/dashboards.md), and files through natural conversation.

## What Ana Can Do

![Ana threads interface](https://mintcdn.com/textql/wnLSBqpI2oAn0dxe/images/how-it-works/ana/modes/threads-new.png?fit=max\&auto=format\&n=wnLSBqpI2oAn0dxe\&q=85\&s=4929fa8f796a0868d7800a775abe95a0)

Ana is equipped with a set of [tools](https://docs.textql.com/core/how-it-works/tools.md) she uses to answer questions and complete tasks. Each tool handles a different part of the analysis workflow.

> [card] [Text-to-SQL](https://docs.textql.com/core/how-it-works/tools/text-to-sql.md)
>
> Writes and runs SQL against your connected data warehouses and databases — no query knowledge required.

> [card] [Python](https://docs.textql.com/core/how-it-works/tools/python)
>
> Runs Python for data transformations, statistical analysis, chart generation, and file exports.

> [card] [Web Search](https://docs.textql.com/core/how-it-works/tools/web-search.md)
>
> Searches the web to enrich analysis with real-time external data, market context, or public benchmarks.

> [card] [Ontology](https://docs.textql.com/core/how-it-works/tools/ontology)
>
> Queries against a governed metrics layer for teams that need consistent, enforced definitions.

## How TextQL is Different

![TextQL dashboard](https://mintcdn.com/textql/wnLSBqpI2oAn0dxe/images/how-it-works/ana/modes/dashboard-new.png?fit=max\&auto=format\&n=wnLSBqpI2oAn0dxe\&q=85\&s=cb45f9d1979f68eac6c6ae80ca6f1c51)

**Works across your entire data stack — no ETL required**

Most tools lock you into one ecosystem. TextQL [connects to 50+ sources](https://docs.textql.com/core/datasources/the-connectors-page.md) simultaneously — join HubSpot marketing data with Postgres transactional data and Snowflake warehouse analytics in a single query, without moving or duplicating data.

**An agent, not a chatbot**

General-purpose AI tools require you to manually re-prompt for every step. TextQL runs end-to-end workflows autonomously: schedule recurring reports via [Playbooks](https://docs.textql.com/core/how-it-works/playbooks.md), detect anomalies proactively, and deliver insights via [Slack](https://docs.textql.com/core/integrations/slack.md) or email — all without human intervention.

**Built for everyone, not just data teams**

No SQL. No Python. No training required. Business users across sales, finance, marketing, and operations get answers in plain English. Data teams stop fielding repetitive requests and focus on higher-value work.

**Usage-based, not per seat**

TextQL charges for usage, not headcount. As your organization grows from 50 to 500 users, the per-user cost approaches zero. Every employee can have access — not just the ones with a BI license. See [Pricing](https://docs.textql.com/core/admin/pricing.md).

**Enterprise-ready out of the box**

SOC 2 Type II certified and HIPAA-ready, with [role-based access control](https://docs.textql.com/core/admin/rbac.md), [audit logging](https://docs.textql.com/core/admin/audit-log.md), and support for [on-premises and VPC deployments](https://docs.textql.com/core/admin/compliance/deployment-types.md).

## Core Concepts

| Concept | What it is |
| - | - |
| **[Threads](https://docs.textql.com/core/how-it-works/ana/overview.md)** | Conversational sessions with Ana — ask questions, follow up, and refine |
| **[Connectors](https://docs.textql.com/core/datasources/the-connectors-page.md)** | Live connections to your data warehouses and systems of record |
| **[Ontology](https://docs.textql.com/core/ontology/overview.md)** | A structured semantic layer of your business data — metric definitions, entity relationships, and conventions that give Ana consistent, precise knowledge of your data model |
| **[Feed](https://docs.textql.com/core/how-it-works/feed.md)** | A shared activity stream where agents publish insights for your team |
| **[Agents](https://docs.textql.com/core/how-it-works/feed/agents.md)** | Long-horizon AI workers that continuously watch your data, and collaborate with other agents to find insights |
| **[Playbooks](https://docs.textql.com/core/how-it-works/playbooks.md)** | Automated analyses that run on a schedule |
| **[Dashboards](https://docs.textql.com/core/how-it-works/dashboards.md)** | Persistent data views built from Ana's outputs |

> [card] [Connect Your Data](https://docs.textql.com/core/get-started/connect-your-data.md)
>
> Connect a warehouse, upload a file, or link a BI tool

> [card] [Your First Chat](https://docs.textql.com/core/get-started/your-first-chat.md)
>
> Step-by-step walkthrough of your first conversation with Ana


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