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

# Introduction

Greetings, dear tester.

Jun 15th, 2024, we have published the first BETA of the YAR, which you can try out for yourself.

We are working to make your YAR testing experience as enjoyable as possible, however, please be aware of the fact that this is a beta and many of the features and usage practices are not perfected.

Please read the instructions below, which we have carefully compiled especially for you. Following it, you can, without anyone else's help get acquainted with the current functionality of the future project.

### Quick Links

{% embed url="<https://yarchain.org>" %}

{% embed url="<https://discord.gg/J8qs6ymzeQ>" %}

{% embed url="<https://github.com/YARlabs>" %}

{% embed url="<https://www.producthunt.com/posts/yar>" %}
Upvote Us
{% endembed %}

{% embed url="<https://www.youtube.com/watch?v=BaQZYxIlH3A>" %}
Explain Video
{% endembed %}

{% embed url="<https://youtu.be/wGiBn2dpHf8>" %}
YAR presentation | From IDEA to PRE-BETA
{% endembed %}

{% embed url="<https://docsend.com/view/kpvxgvypij4gr6na>" %}

{% content-ref url="/pages/aJBwlPeNLdVnNTOUwObn" %}
[WhitePaper](/whitepaper/introduction.md)
{% endcontent-ref %}


---

# 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:

```
GET https://docs.yarchain.org/testnet-instruction/introduction.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.