# Welcome

> **Done-for-you social marketing automation — handed over, autonomous, with the brand keeping editorial control.**

Welcome to the Oodlz AI Studio documentation site. This is the canonical reference for what the system does, how the producers run, and what the brand sees in the workspace.

## What This Site Covers

The site is organised by product surface. The 4 main sections mirror the 4 things the system actually delivers:

* **Inbound Agent** — answers comments, DMs, and chat messages across every connected channel in the brand's voice.
* **Outbound Agents** — discovers topics, writes articles, generates images, and dispatches social posts on a monthly cadence.
* **Reporting Agents** — pulls performance data monthly from SEO, web analytics, and social platforms; generates AI summaries.
* **Your Workspace** — the daily-use Airtable Interfaces where the brand approves, audits, and scans performance.

The Architecture & Stack section covers what's underneath. The Roadmap section covers what's coming next. Support has the FAQ and contact details.

## How To Read This Site

Every agent page follows the same shape: USP, what you get, how it works, quality baked in, inputs, outputs, what it replaces. Read the family landings (Inbound Agent, Outbound Agents, Reporting Agents) for the high-level picture. Drill into the producer pages (Topics, Articles, Repurpose, Growth) for the detail that matters at evaluation time. Drill into the leaf pages for the engineering specifics behind a particular capability.

## Where To Start

* New to the system? Start with [What Is Oodlz AI Studio](/docs/welcome/what-is-oodlz-ai-studio.md), then [How It Works](/docs/welcome/how-it-works.md).
* Evaluating? Read the producer landing pages — Topics, Articles, Repurpose — and check [Cost Transparency](/docs/architecture-and-stack/cost-transparency.md).
* Onboarding? Start with [Onboarding Journey](/docs/getting-started/onboarding-journey.md) and [What You Receive](/docs/getting-started/what-you-receive.md).
* Operating? The agent pages and the workspace pages are the daily-reference content.


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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://oodlz-ai-studio.gitbook.io/docs/welcome.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.