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Learn how to design composable AI systems using open protocols in this 22-minute conference talk that explores the Model Context Protocol (MCP) and its role in building modular AI architectures. Discover the trade-offs between adopting MCP versus alternative approaches for creating flexible, interoperable AI systems. Examine practical considerations for implementing open protocols in AI development, including architectural patterns, integration strategies, and protocol selection criteria. Gain insights into building AI systems that can adapt and scale through composable design principles, with real-world examples and best practices from industry experience in open source runtime development.
