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

# Stackops AI

Stackops AI is an AI-driven project specializing in cloud engineering. This intelligent agent is specifically designed to simplify and streamline various technical tasks related to cloud computing, DevOps, and comprehensive server management. From facilitating detailed technical discussions and consultations regarding server requirements to executing complete server setups, Stackops AI provides a comprehensive solution.

Moreover, Stackops AI automatically identifies the most efficient and cost-effective server specifications tailored precisely to user needs. Users only need to handle payments, eliminating the inconvenience and complexity associated with manual server selection and setup processes.


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# 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.stackops-ai.com/introduction/stackops-ai.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.
