This episode explores how to determine what is too complex for a single AI agent and why task-based architecture matters, especially in heavy industry. We discuss breaking work into discrete, well-defined tasks, designing specialized agents for planning, execution, and coordination, and using strict context to reduce risk and hallucinations. The conversation also covers how to translate AI value to executive teams by tying agent workflows to clear operational outcomes like throughput and supply chain performance.
Watch the full episode here: https://youtube.com/live/LhvERENSdcA?feature=share
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