This episode of Techsplainers explores hierarchical AI agents, sophisticated systems where multiple AI components work together in a structured, tiered fashion to tackle complex problems. We examine the three levels of agents—high-level strategic planners, mid-level coordinators, and specialized low-level executors—and how they communicate to accomplish goals efficiently. The episode details key features like agent hierarchy, task decomposition, specialization, and feedback-driven coordination that make these systems effective. We also investigate real-world applications in supply chain management, manufacturing, cybersecurity, and autonomous vehicles, while discussing the benefits of modularity, efficiency, scalability, and fault tolerance alongside challenges like complexity, rigidity, and communication bottlenecks that organizations must navigate when implementing these powerful AI systems. 

Find more information at https://www.ibm.com/think/podcasts/techsplainers 

Narrated by Matt Finio