# 📖 Introduction

<figure><img src="https://docs.agentensor.com/~gitbook/image?url=https%3A%2F%2F2889640492-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FptcRALzVInt9QPwFMllA%252Fuploads%252FRnuaPghmp5lu9p2CSlZd%252F%255BAgenTensor%255D%2520Introduction%2520copy.jpg%3Falt%3Dmedia%26token%3D98a87e73-3cf8-4144-8376-65b3bf03a0db&#x26;width=768&#x26;dpr=4&#x26;quality=100&#x26;sign=d2c7c0b8&#x26;sv=2" alt=""><figcaption></figcaption></figure>

AgenTensor is an advanced platform designed to detect AI-generated content across images, text, video, and voice, offering powerful insights into AI-driven creations. Backed by Bittensor Subnets 32 and 34, it combines cutting-edge detection tools with decentralized earning opportunities. Through the AgenTAO Stream, users can stake and earn $TAO tokens, creating a unique blend of innovation and rewards. AgenTensor empowers users to navigate the evolving AI landscape while benefiting from blockchain-based mining and staking rewards.


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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:

```
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```

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.
