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

# Tutorials

- [Hello World](https://hackerbot-industries.gitbook.io/documentation-hackerbot-industries/tutorials/hello-world.md)
- [Basic Examples](https://hackerbot-industries.gitbook.io/documentation-hackerbot-industries/tutorials/basic-examples.md)
- [Deploy an AI Agent](https://hackerbot-industries.gitbook.io/documentation-hackerbot-industries/tutorials/deploy-an-ai-agent.md): This guide explains how to deploy and integrate Large Language Models with your Hackerbot system. We'll use Google's Gemini API in this example, but the steps apply similarly to other APIs as well
- [Teleoperation](https://hackerbot-industries.gitbook.io/documentation-hackerbot-industries/tutorials/teleoperation.md): Operating the robot via keyboard is a great way to understand its capabilities. Hackerbot provides teleop scripts based on your model.
- [Run YOLOv11 on the RPI5 CPU](https://hackerbot-industries.gitbook.io/documentation-hackerbot-industries/tutorials/run-yolov11-on-the-rpi5-cpu.md)
- [Utilizing AI Kit](https://hackerbot-industries.gitbook.io/documentation-hackerbot-industries/tutorials/utilizing-ai-kit.md): In this tutorial, we'll walk you through setting up your AI Kit and running example applications for object detection and human pose estimation using the Raspberry Pi 5 (RPi5).


---

# 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://hackerbot-industries.gitbook.io/documentation-hackerbot-industries/tutorials.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.
