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Explore agent orchestration patterns using LangChain4J in this 15-minute conference talk that demonstrates how Java developers can build powerful AI-driven workflows. Learn to combine AI and non-AI agents through core orchestration patterns including sequential, looping, conditional, and parallel execution, plus discover the supervisor pattern where agents autonomously decide which tasks to execute. Master human validation strategies to maintain control over your agent systems while exploring compound agents that encapsulate entire workflows into reusable building blocks. Understand how AgenticScope provides context control and clear visibility into call chains for better debugging and monitoring. Watch live demonstrations of scalable agent systems that progress from simple tasks to complex automation scenarios, gaining practical insights into what's achievable today with agent orchestration, how to maintain proper control mechanisms, and how Java developers can actively participate in shaping the future of AI agent technology.
