> ## 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 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](/core/how-it-works/tools/text-to-sql), [runs Python](/core/how-it-works/tools/python), [searches the web](/core/how-it-works/tools/web-search), and produces charts, [reports](/core/how-it-works/playbooks), [dashboards](/core/how-it-works/dashboards), and files through natural conversation.
## What Ana Can Do
Ana is equipped with a set of [tools](/core/how-it-works/tools) she uses to answer questions and complete tasks. Each tool handles a different part of the analysis workflow.
Writes and runs SQL against your connected data warehouses and databases — no query knowledge required.
Runs Python for data transformations, statistical analysis, chart generation, and file exports.
Searches the web to enrich analysis with real-time external data, market context, or public benchmarks.
Queries against a governed metrics layer for teams that need consistent, enforced definitions.
## How TextQL is Different
**Works across your entire data stack — no ETL required**
Most tools lock you into one ecosystem. TextQL [connects to 50+ sources](/core/datasources/the-connectors-page) 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](/core/how-it-works/playbooks), detect anomalies proactively, and deliver insights via [Slack](/core/integrations/slack) 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](/core/admin/pricing).
**Enterprise-ready out of the box**
SOC 2 Type II certified and HIPAA-ready, with [role-based access control](/core/admin/rbac), [audit logging](/core/admin/audit-log), and support for [on-premises and VPC deployments](/core/admin/compliance/deployment-types).
## Core Concepts
| Concept | What it is |
| ------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **[Threads](/core/how-it-works/ana/overview)** | Conversational sessions with Ana — ask questions, follow up, and refine |
| **[Connectors](/core/datasources/the-connectors-page)** | Live connections to your data warehouses and systems of record |
| **[Ontology](/core/ontology/overview)** | 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](/core/how-it-works/feed)** | A shared activity stream where agents publish insights for your team |
| **[Agents](/core/how-it-works/feed/agents)** | Long-horizon AI workers that continuously watch your data, and collaborate with other agents to find insights |
| **[Playbooks](/core/how-it-works/playbooks)** | Automated analyses that run on a schedule |
| **[Dashboards](/core/how-it-works/dashboards)** | Persistent data views built from Ana's outputs |
Connect a warehouse, upload a file, or link a BI tool
Step-by-step walkthrough of your first conversation with Ana