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

# Welcome to Underdog Cowboy

Ready to ride? Just type:

```sh
pip install underdogcowboy
```

Underdog Cowboy is your bridge to harnessing the power of Language Models (LLMs) without needing extensive programming expertise. We designed it to help individuals and teams turn their ideas into functional prototypes that programmers can refine and scale.

Our mission is to empower you to get the most out of your team and project, fostering closer collaboration between you and the engineers bringing AI solutions to life for your organization.

If you can handle advanced Google Sheets or Excel, we’re confident you'll quickly feel at home with Underdog Cowboy. That adaptability is proof you've got the spirit of an underdog—ready to take on challenges and ride alongside the best to make big things happen.

### Jump right in

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Timeline Editor</strong></td><td>Starting point for dialog with LLM's</td><td><a href="/files/xo01HMGkt0d1uPt1tqRl">/files/xo01HMGkt0d1uPt1tqRl</a></td><td></td><td><a href="/pages/7INwuJEMC7OkF9RD2J3t">/pages/7INwuJEMC7OkF9RD2J3t</a></td></tr><tr><td><strong>Underdog Cowboy, solution for Non-Programmers.</strong> </td><td>From MVP to Scaled Solutions</td><td><a href="/files/pYB0z6GnBYBS7lRgNvwj">/files/pYB0z6GnBYBS7lRgNvwj</a></td><td></td><td><a href="/pages/Vbn9TTfQRd3Tx4d6UDsa">/pages/Vbn9TTfQRd3Tx4d6UDsa</a></td></tr><tr><td><strong>Interactive Agent Development</strong></td><td>A unique lifecycle, aimed at novice</td><td><a href="/files/ydZVmWYnx4iCtTLckEdI">/files/ydZVmWYnx4iCtTLckEdI</a></td><td></td><td><a href="/pages/8Pgz0lNcjWa5oBq6KM0R">/pages/8Pgz0lNcjWa5oBq6KM0R</a></td></tr><tr><td><strong>Command Line Tools</strong></td><td>A great start for starters</td><td><a href="/files/xo01HMGkt0d1uPt1tqRl">/files/xo01HMGkt0d1uPt1tqRl</a></td><td></td><td><a href="/pages/8eueGVFJCD2tpjPbUWkM">/pages/8eueGVFJCD2tpjPbUWkM</a></td></tr></tbody></table>


---

# Agent Instructions
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## 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://underdogcowboy.gitbook.io/underdogcowboy-docs/introduction/readme.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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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.