# Introducing AssisterrAI

## Overview

Assisterr AI offers the infrastructure and no-code tools to solve real-world problems with AI Agents organized with a Mixture of Agent structures and powered by Small Language Models (SLMs). \
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The platform allows individuals and organizations to easily **build**, **monetize,** and **tokenize** custom **SLM-powered Agents** while incentivizing community contributions. 

SLMs, while similar in concept to Large Language Models (LLMs) like Chat-GPT or BERT, are designed to be more accurate, specialized, and efficient. By focusing on specific tasks and data sets, SLMs provide superior performance for niche applications, making them ideal for business and domain-specific use cases. Through AssisterrAI users gain the ability to create tailored solutions that address their unique challenges with precision and efficiency.

Powered by **Solana** \
With Love from the United Kingdom & Ukraine for the global AI & Crypto Community

## Quick links

Join our Community and follow the latest news: [<mark style="color:purple;">Twitter</mark>](https://twitter.com/assisterr) <mark style="color:purple;">|</mark> [<mark style="color:purple;">Discord</mark>](https://discord.com/invite/MyNvpPrY9Y) <mark style="color:purple;">|</mark> [Telegram](https://t.me/assisterr)

## Platform Guides

We've put together some helpful guides to get set up with our product quickly and easily.

{% content-ref url="/pages/Y080fdic3bZOC3OLbtpv" %}
[Product Guides](/assisterr/product-guides/login-slm-store.md)
{% endcontent-ref %}


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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://assisterr.gitbook.io/assisterr/introducing-assisterrai.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.