# Quickstart

<div><figure><img src="/files/SnblneD6s8zwanUlSqS6" alt=""><figcaption><p>Sage3.ai homepage</p></figcaption></figure> <figure><img src="/files/achIzrWmgtBhkmqM9czW" alt=""><figcaption><p>Sag3.ai browse</p></figcaption></figure></div>

### Overview

SAG3.ai is an AI-powered research agent that **autonomously** evaluates cryptocurrency projects across multiple dimensions, providing in-depth research, quantitative scoring, and social impact analysis. By leveraging the latest AI models, SAG3.ai delivers thorough, unbiased analyses of projects based on their features, fundamentals, tokenomics, market position, community engagement, and more.

SAG3.ai collects data from various sources, conducts detailed research, and presents findings in an accessible format. SAG3.ai has automated social media monitoring and sharing capabilities to help provide key insights and provoke further discussion in the wider crypto community.

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Want to know how it works? Skip to [Technology](/sag3-platform/images-and-media.md).
{% endhint %}

### How to use SAG3.ai

{% embed url="<https://www.youtube.com/watch?v=ceZEL1_q8Vo>" %}
Review of SAG3.ai by [@SauceofCrypto](https://x.com/SauceofCrypto)
{% endembed %}


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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.sag3.ai/getting-started/quickstart.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.
