# ControlTheory Documentation

{% columns %}
{% column %}

<figure><img src="/files/Q3LNYPlwrIQldX4FoPox" alt=""><figcaption></figcaption></figure>

{% endcolumn %}

{% column %}

<figure><img src="/files/ro7GT9f08mBlb6USJOrf" alt=""><figcaption></figcaption></figure>

{% endcolumn %}
{% endcolumns %}

ControlTheory is the runtime feedback loop for AI-generated code. As AI coding tools accelerate development across increasingly complex deployment chains, a runtime context gap opens up - what's running grows faster than what's understood, and every runtime failure becomes a rabbit hole that breaks developer flow.&#x20;

Our products close that gap with continuous runtime feedback, fed back into the AI development flow: [**Dstl8**](https://app.dstl8.ai/lp/dstl8-signup), the runtime feedback loop for the AI SDLC, and [**Gonzo**](https://github.com/control-theory/gonzo), the open source terminal (TUI) companion that integrates with Dstl8.

To learn more, visit the [ControlTheory](https://www.controltheory.com/) website for blogs, use cases, and videos.


---

# 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://docs.controltheory.com/controltheory-documentation.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.