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Explore how state machines and the Actor model serve as foundational tools for building robust multi-agent AI systems in this 17-minute conference talk. Learn to leverage these timeless design patterns alongside large language models to create agents that reason, plan, and act with enhanced observability, reliability, and control. Discover how state charts provide a clarifying framework for implementing key agentic patterns including tool use, feedback mechanisms, collaboration protocols, orchestration strategies, and system chartering. Understand the continued relevance of state machines and the Actor model in modern AI architecture, particularly for managing state, concurrency, and message-driven communication in distributed systems as AI models become increasingly intelligent and autonomous.
