# Welcome to Conjure

## Links

**Site**: [conjureai.io](https://conjureai.io)

**Github Repository:** [github.com/utxobro/conjure](https://github.com/utxobro/conjure)

**Pump.fun**: [H1gbUutzF1gHqbV91MPxk6YkGEDdiFm44iiUWdwMpump](https://pump.fun/H1gbUutzF1gHqbV91MPxk6YkGEDdiFm44iiUWdwMpump)

**X**: [x.com/conjureai](https://x.com/conjureai)

**Docs:** [conjureai.gitbook.io](https://conjureai.gitbook.io/)

## Overview

Conjure AI is a revolutionary development platform that leverages advanced AI agents to streamline the creation of web applications and games. With Conjure, developers can describe their vision in natural language and watch as AI agents transform it into functional code.

### 🌟What is Conjure?

Conjure is built on the principle that development should be more intuitive and accessible. Our platform features:

* 🤖 **Intelligent AI Agents** - Specialized agents for web and game development
* 🔄 **Real-time Preview** - See your changes instantly as they're implemented
* 📊 **Advanced Monitoring** - Comprehensive metrics and performance tracking
* 🎮 **Multiple Development Modes** - Support for both web applications and games

### 🤖 Current Agents

#### Web Development Agent (Neo Blackwood)

Our primary web development agent specializes in creating modern, responsive web applications. Neo excels in:

* Multi-page application architecture
* Frontend frameworks and animations
* UI/UX implementation
* Performance optimization

#### Game Development Agent (Dave 'Bitmap' Wilson)

Our game development specialist focuses on creating engaging browser-based games with:

* Core game mechanics implementation
* Physics systems
* Performance optimization
* Interactive elements


---

# 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://conjureai.gitbook.io/conjureai/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.