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

# Welcome to Supervised!

{% hint style="info" %}
**About this platform : Supervised is the v2.0 enablement of Sttabot.io, a platform being used by over 7500+ businesses to integrate AI into their current line-up.** 
{% endhint %}

For **Pro User**, we have a dedicated support center where we resolve the queries at a lightening fast delivery and response rate. Do check it out [here](https://app.supervised.co/support).

For **Basic Users,** Supervised support is still avaialbe through our dedicated email ID <support@supervised.co>&#x20;

<details>

<summary>Who can get benefited the most with Supervised?</summary>

Supervised is a best-fit for businesses willing to quickly integrate scalable AI software into their current line-up or platform.&#x20;

With v2, we are also taking care of the creators and individuals in this space by providing necessary monetisation tools like paywall, SEO, rebranding, etc. &#x20;

</details>

<details>

<summary>Why do businesses even need Supervised? What exact problem do we solve?</summary>

Supervised is a layer-two AI technology which lets you unlock the true potential of GPT and other AI engines like Solidity, Bard, etc.&#x20;

The most important question for a business is - in a world where most of your competitiors have the advantage to build AI tools like yours, what's your USP?

At Supervised, we solve this exact problem of letting you build scalable AI apps upon your very own data to get tailored and personalised responses, which we do at a fraction of time and resources, that you have to spend if you get it developed in-house. &#x20;

</details>


---

# Agent Instructions
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## 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:

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