> ## Documentation Index
> Fetch the complete documentation index at: https://docs.machina.gg/llms.txt
> Use this file to discover all available pages before exploring further.

# Machina Studio

> Serverless deployment—fast, simple, zero overhead with an intuitive interface to connect data and AI workflows.

## Key Features

### Serverless Deployment

Deploy your AI agents and workflows instantly without managing servers, containers, or infrastructure. The Machina Developer Studio handles all the scaling and operational complexity for you.

### Intuitive Interface

Connect data sources, configure AI agents, and design workflows through a visual, drag-and-drop interface that makes complex AI implementations accessible to developers of all skill levels.

## Getting Started

1. **Create Your Account**: Sign up for free at [Machina Sports](https://machina.gg/) to access the Developer Studio.

2. **Explore the Sandbox**: Immediately access a fully-functional sandbox environment to experiment with AI agents, connectors, and workflows.

3. **Deploy Your First Agent**: Follow our [GameDay Assistant](/agent-templates/gameday-assistant) template to quickly deploy your first AI agent.

## Studio Capabilities

<CardGroup cols={2}>
  <Card title="Instant Sandbox Access" icon="box">
    Deploy and test immediately without setup or configuration.
  </Card>

  <Card title="Fully Serverless" icon="cloud">
    Scale effortlessly from development to production without infrastructure management.
  </Card>

  <Card title="Community Feedback" icon="users">
    Direct integration with our community for real-time support and collaboration.
  </Card>
</CardGroup>

## Developer Studio Sections

### Dashboard

Get an overview of your deployed agents, active workflows, and usage metrics.

### Connectors

Configure and manage your data source connections, including sports data providers and AI services.

### Agents

Create, configure, and deploy AI agents for various fan engagement scenarios.

### Workflows

Design and orchestrate complex workflows that combine multiple agents and data sources.

### Mappings

Define data mappings between external data sources and AI agents.

### Prompts

Create and manage optimized prompts for your AI agents to ensure effective outputs.

## Next Steps

* Explore our [Connectors](/core-components/connectors) to integrate your data sources
* Learn about [Agents](/core-components/agents) to create intelligent fan interactions
* Design [Workflows](/core-components/workflows) to orchestrate complex fan experiences