# Dagploy Docs

## Home

- [Welcome!](https://docs.dagploy.com/readme.md): Dagploy helps you to automate repetitive tasks with AI Agents

* [Welcome](https://docs.dagploy.com/home/blog/blog-post/welcome.md): Welcome to Dagploy Blog
* [Build Claude Alternative in 20 Mins](https://docs.dagploy.com/home/blog/blog-post/build-claude-alternative-in-20-mins.md): Running DAX, OpenWork and GPT OSS 20B in GCP

## Documentation

- [Welcome](https://docs.dagploy.com/documentation/welcome.md): Everything you need to automate manual tasks with AI Agents
- [Getting started](https://docs.dagploy.com/documentation/getting-started/getting-started.md): Learning more about Dagploy
- [Quickstart](https://docs.dagploy.com/documentation/getting-started/quickstart.md): Build your own AI Agents under five minutes.
- [Core concepts](https://docs.dagploy.com/documentation/core-concepts/core-concepts.md): Launch AI Agents in minutes
- [Support](https://docs.dagploy.com/documentation/enterprise/intro.md)


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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, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on a page URL with the `ask` query parameter:
```
GET https://docs.dagploy.com/readme.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.