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

# Welcome

Adaptive is a platform for building, training, and deploying AI agents across voice and chat channels. Use the sidebar to navigate to any part of the product, or start with the sections below.

## What you can do with Adaptive

| Section                                                                        | What it covers                                               |
| ------------------------------------------------------------------------------ | ------------------------------------------------------------ |
| [**Build → Agent Configuration**](/agent-configuration/agent-configuration.md) | Design your agent's persona, knowledge, goals, and behaviour |
| [**Build → Agent Deployment**](/agent-deployment/agent-deployment.md)          | Train, publish, connect channels, and go live                |
| [**Build → Administration**](/administration/integrations.md)                  | Manage your team, integrations, and workspace settings       |
| [**Run → Sessions & Monitoring**](/run/run.md)                                 | Monitor live sessions, inspect performance, and test agents  |

## How the docs are organised

The documentation mirrors the product navigation exactly. The sidebar has two top-level modes — **Build** and **Run** — matching the toggle you see inside the app.

* **Build** is where you configure and deploy agents. It covers everything from defining a persona to activating a live phone channel.
* **Run** is where you operate agents day-to-day: watching live sessions, reviewing conversation history, and diagnosing issues.

## Getting help

* **Support**: <admin@adaptiveap.com>
* **Sales**: <admin@adaptiveap.com>


---

# Agent Instructions
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## Querying This Documentation
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Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

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