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

# Documentation

The <code class="expression">space.vars.X\_Product\_Name</code> (<code class="expression">space.vars.X\_Product\_Short</code>) is a platform for building, running and operating programmable data agents that sit in the flow of your traffic and apply your logic to it - inspecting, transforming, routing and governing data as it moves between browsers, applications, APIs, AI services and enterprise systems.

You build logic as rules, compose those rules into rule sets, and deploy them to agents that run them in production. <code class="expression">space.vars.X\_Product\_Short</code> rests on three foundations:

| Foundation                                                                            | What it does                                                                                                                     |
| ------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------- |
| <code class="expression">space.vars.X\_Agent\_Name\_Single</code> (runtime)           | Executes your rule sets and processes data autonomously, triggered by HTTP requests, file changes, schedules or protocol events. |
| The Editor (composition)                                                              | Where rules are combined into working rule sets.                                                                                 |
| The <code class="expression">space.vars.X\_Product\_Short</code> Console (operations) | Where rule sets are deployed, managed and scaled across a fleet of agents.                                                       |

New capabilities are added through extensions, which register additional rules into the catalogue for use in the Editor.

## Where to start

<table data-column-title-hidden data-view="cards" data-full-width="false"><thead><tr><th></th><th data-hidden></th><th data-hidden></th><th data-hidden data-card-target data-type="content-ref"></th><th data-hidden data-card-cover data-type="image">Cover image</th></tr></thead><tbody><tr><td><p><a href="/pages/WIVE2G3Dqb0HKx5pnVA4"><strong>AWS User Deployment Guide</strong></a></p><p><a href="https://aws.amazon.com/marketplace/pp/prodview-ipq63czrwt2bq">Launch now on AWS Marketplace</a></p></td><td></td><td></td><td><a href="/pages/WIVE2G3Dqb0HKx5pnVA4">/pages/WIVE2G3Dqb0HKx5pnVA4</a></td><td><a href="/files/6pzHXEuONs04Xvu6YiM5">/files/6pzHXEuONs04Xvu6YiM5</a></td></tr><tr><td><p><a href="/pages/cvwSZXOtoH8gCfD8JRh2"><strong>Google Cloud Getting Started Guide</strong></a></p><p><a href="https://console.cloud.google.com/marketplace/browse?filter=partner:TomorrowX">Launch now on GCP Marketplace</a></p></td><td></td><td></td><td><a href="/pages/cvwSZXOtoH8gCfD8JRh2">/pages/cvwSZXOtoH8gCfD8JRh2</a></td><td data-object-fit="contain"><a href="/files/jWFPYfsIm7SxbzxaiHr6">/files/jWFPYfsIm7SxbzxaiHr6</a></td></tr></tbody></table>


---

# 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://docs.tomorrowx.com/cap/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.
