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YouTube

Building Multi-Player AI Systems - and Why It's So Hard

MLOps.community via YouTube

Overview

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Learn how to build collaborative AI systems where multiple humans and AI agents work together in real-time through this 14-minute conference talk. Discover the challenges of moving beyond single-user AI interactions to true multiplayer environments where teams of people and agents share context and collaborate toward common goals. Explore MeshAgent's approach to solving multiplayer AI through secure Rooms—on-demand workspaces that provide shared live context, access controls, and full traceability for all participants. Understand how to create real-time collaborative environments where humans and agents can co-create together, add new agent teammates using Python, TypeScript, or Dart SDKs, and equip agents with built-in or custom tools to accomplish actual work beyond simple chat interactions. Gain insights into production deployment considerations including infrastructure management, scaling, logging, and cost monitoring that enable teams to focus on outcomes rather than operational complexity.

Syllabus

Building Multi-Player AI Systems (and why it’s SO hard)

Taught by

MLOps.community

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