# Introduction

#### What is Xero?

Xero is an advanced artificial intelligence built to understand and respond to a wide range of user queries with clarity and precision. It is a versatile tool intended to make information accessible and conversation intuitive.

* Helper: Xero is fundamentally a tool for assistance, providing focused answers and explanations.
* Knowledgeable: It's equipped to retrieve, synthesize, and present information across diverse topics and domains.
* Conversational: Xero can engage naturally, making interactions feel easy and straightforward.<sup>1</sup>

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#### Key Capabilities

Xero's design centers on delivering a superior user experience through its core features:

1. General-Purpose Reasoning: Xero possesses the capability to process complex inputs and perform high-level reasoning to structure coherent and relevant responses.
2. Information Retrieval and Synthesis: When a query requires data, Xero can access and bring together relevant information, synthesizing it into an easily digestible answer.
3. Focused Guidance: Xero is built with internal guidance to ensure all answers are focused, accurate, and presented in a way that is clear and easy to understand.

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#### The Technology Behind Xero

Xero's powerful performance is driven by a sophisticated underlying technical framework:

* ROMA Framework: Xero's core reasoning and language-generation abilities are powered by the proprietary ROMA Framework by Sentient AGI. This platform represents the cutting-edge AI/ML stack that enables Xero's robust functionality.
* Built by Rex: The development, training, and continuous refinement of Xero are managed by its creators, an individual or team known as Rex.

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#### Intended Use

Xero's general-purpose nature allows it to be applied to a vast array of tasks. While its potential applications are continuously expanding, Xero is primarily designed for:

* Answering Factual Questions: Quickly providing accurate answers across various subjects.
* Providing Detailed Explanations: Offering clear breakdowns of complex topics.
* General Assistance and Conversation: Serving as an engaging digital partner for day-to-day queries and discussions.


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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://moulders.gitbook.io/xero-ai/introduction.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.