> For the complete documentation index, see [llms.txt](https://t-matic.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://t-matic.gitbook.io/docs/getting-started/readme.md).

# Welcome to T-Matic

T-Matic is a brand intelligence platform that turns any business website into a structured knowledge base — then lets your team query, analyze, and create content from it using AI.

You give T-Matic a URL. It crawls the site, builds a Brand DNA profile, extracts a knowledge graph of every entity and relationship it finds, and makes all of it queryable through a natural-language interface called Maven.

***

## Who these docs are for

These docs are written for three types of people:

* **Brand and marketing teams** who want to analyze a brand's positioning, voice, and messaging
* **Workspace admins** who are setting up T-Matic for their organization and managing access
* **Developers and technical users** who are integrating T-Matic's API into their own workflows

***

## How to navigate these docs

The documentation is organized into sections that match where you are in your journey with T-Matic:

| Section                       | What it covers                                          |
| ----------------------------- | ------------------------------------------------------- |
| **Getting Started**           | Activation, first project, core concepts                |
| **Projects & Brand DNA**      | How the analysis pipeline works, reading outputs        |
| **Sources & Knowledge Graph** | Page-level analysis, entity extraction, graph traversal |
| **Maven (AI Assistant)**      | Querying brand knowledge, conversation history          |
| **Social & Content**          | Publishing workflows, calendar, AI content creation     |
| **Settings & Administration** | Team members, billing, integrations                     |
| **API Reference**             | Endpoints, authentication, schemas                      |

***

## Three paths into T-Matic

Depending on what you need right now, start here:

```
                        ┌─────────────────────────────────────────────────┐
                        │                  New to T-Matic?                 │
                        └───────────────────┬─────────────────────────────┘
                                            │
               ┌────────────────────────────┼────────────────────────────┐
               │                            │                            │
               ▼                            ▼                            ▼
     ┌──────────────────┐        ┌──────────────────┐        ┌──────────────────┐
     │   Quick Start    │        │  Guided Setup    │        │ API Integration  │
     │                  │        │                  │        │                  │
     │  Fastest path to │        │  Set up your     │        │  Connect T-Matic │
     │  a first result. │        │  workspace the   │        │  to your own     │
     │  Account → URL → │        │  right way:      │        │  systems via     │
     │  Brand DNA →     │        │  team, billing,  │        │  REST API.       │
     │  first query.    │        │  preferences.    │        │                  │
     │                  │        │                  │        │                  │
     │  → Quick Start   │        │  → Account Setup │        │  → API Reference │
     └──────────────────┘        └──────────────────┘        └──────────────────┘
```

If this is your first time using T-Matic, go to the [Quick Start Guide](/docs/getting-started/quick-start.md). It gets you from zero to your first brand insight in under ten minutes.


---

# 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://t-matic.gitbook.io/docs/getting-started/readme.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.