A lead agent decomposes the task and dispatches sub-agents, each with its own context and a narrow brief, then synthesises their returns. The pattern buys parallelism and context isolation, and pays for it in coordination tokens and in briefs that were not specific enough.

Orchestrator and Sub-Agents

The strongest argument for sub-agents is not concurrency but that each one gets a clean window for its own sub-problem, so the lead agent's context is never polluted by the forty tool results a sub-task needed.

Context Isolation as the Real Benefit

A topic of the Building AI Agents course. Planned for 2 hours at Hard difficulty.

University of Michigan - Ann Arbor

A category of the Building AI Agents course, covering 4 topics.

Planning, Orchestration and Evaluation

A topic of the Building AI Agents course. Planned for 2.5 hours at Hard difficulty.

Planning Strategies: ReAct and Plan-then-Execute

Multi-Agent Orchestration Patterns

Evaluating Agent Trajectories

A topic of the Building AI Agents course. Planned for 1.5 hours at Medium difficulty.

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