Hierarchical AI agents use multiple layers of agents to manage complex tasks instead of relying on one AI agent for everything. A supervisory agent can define the main objective, planning agents can break it into smaller tasks, and specialized execution agents can handle actions such as data retrieval, API calls, analysis, or reporting. This structure gives businesses better control, task specialization, validation, and visibility across complex AI workflows.
Educate. Empower. Act. The mission of Project WET is to reach children, parents, educators and communities of the world with water education.
