# 𒀭 enqAI

Where most AI models incorporate hardcoded morals and censorship, often leading to biases that can influence their outputs and decisions, we've developed our own AI models with a strong emphasis on keeping them free from hidden biases and arbitrary morals, enabling the use of advanced machine learning in a fair and reliable manner. \
\
Through careful data selection and thorough algorithm testing, we aim to improve the user experience and support innovation in AI applications. This documentation will guide you through the features and capabilities of our models and the underlying network we envision.\
\
Ultimately, the models will be run by anyone with computing power in exchange for tokens. 

<br>


---

# 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://enqai.gitbook.io/new-docs/enqai.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.