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llms.txt Content

# Liquid Metal Documentation > Liquid Metal is a cloud development platform that enables developers to build and deploy production-ready AI applications in seconds. > The platform provides a streamlined experience for creating, managing, and deploying cloud-native applications with zero infrastructure management. This documentation website provides comprehensive information about the Liquid Metal platform, including guides, SDK documentation, and reference materials. ## Core Documentation - [Actors](/raw-markdown/concepts/actors.md): Stateful compute units that maintain persistent data and handle requests with unique identity. - [AI Models](/raw-markdown/concepts/ai-models.md): Overview of AI model types available in Raindrop for text generation, image processing, speech recognition, and more. - [Annotations](/raw-markdown/concepts/annotations.md): Metadata management system for organizing configuration, documentation, and application context. - [Bucket Storage](/raw-markdown/concepts/bucket-storage.md): Object storage for files and data that scales from simple documents to massive media libraries. - [Claude Code + Raindrop MCP](/raw-markdown/concepts/claude-code-raindrop-mcp.md): How the Raindrop MCP server transforms Claude Code into a complete application development platform for building infrastructure and deploying real applications. - [Key-Value Storage](/raw-markdown/concepts/kv.md): Fast, simple data storage for caching, sessions, and temporary data persistence in Raindrop applications. - [Observers](/raw-markdown/concepts/observers.md): Event-driven components that react to changes in buckets and queues, enabling reactive architecture patterns. - [Queues](/raw-markdown/concepts/queues.md): Asynchronous message passing and decoupled system design for background processing and workflow coordination. - [Guided Development Flow](/raw-markdown/concepts/raindrop-development/guided-development.md): How the structured workflow prevents chaos and ensures complet