# Introduction

<figure><img src="https://973843796-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FrjIxwbs8yIYYkfsKIzqa%2Fuploads%2FJrO8oQSBHN965U8NNGmv%2FOpengraph(1).png?alt=media&#x26;token=b5f899f7-b6f3-45cf-90a3-eac4c8b10f9d" alt=""><figcaption></figcaption></figure>

## About BeeARD

BeeARD is an AI-driven scientific hypothesis discovery system designed to accelerate scientific progress by generating and validating new ideas at scale.

## Toward Agentic Scientists

We envision scientific advancement driven by decentralized, autonomous agentic scientists capable of independently exploring, validating, and expanding research frontiers.&#x20;

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<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Autonomous Research Discovery</strong></td><td>ARD pipeline explained</td><td><a href="https://973843796-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FrjIxwbs8yIYYkfsKIzqa%2Fuploads%2FiguXpifxaOqA6kOzAztX%2FBeeARD%20Twitter%20Banner%205.png?alt=media&#x26;token=6b8573be-694b-4262-bcd7-365e491dd6da">BeeARD Twitter Banner 5.png</a></td><td><a href="../sci-hive/autonomous-research-discovery">autonomous-research-discovery</a></td></tr><tr><td><strong>HypGen Infinity</strong></td><td>Infinite Autonomous Research Generator.</td><td><a href="https://973843796-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FrjIxwbs8yIYYkfsKIzqa%2Fuploads%2FEcOIZsXfpVs8ZDcDSIYg%2Flogo_hyogen_infinity.png?alt=media&#x26;token=63643171-e299-4a82-a347-3b75928159df">logo_hyogen_infinity.png</a></td><td><a href="../projects/hypgen">hypgen</a></td></tr><tr><td><strong>Roadmap</strong></td><td>Roadmap outlining key milestones in ARD</td><td><a href="https://973843796-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FrjIxwbs8yIYYkfsKIzqa%2Fuploads%2FoQ3mBGJyGF7Oro9NkuEW%2FBeeARD%20Twitter%20Banner%204.png?alt=media&#x26;token=e97c413a-330b-4e1a-9d0a-e5bb22276c5d">BeeARD Twitter Banner 4.png</a></td><td><a href="../sci-hive/roadmap">roadmap</a></td></tr></tbody></table>


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# Agent Instructions: 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.beeard.ai/getting-started/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.