Verified65% confidenceSolutionExact time
In a layered agent architecture, the top-level Orchestrator Agent is responsible for task decomposition and decision-making, while the bottom-level Worker Agent is responsible for specific code generation and test execution, representing the best practice for AI application engineering.
3
Sources
65%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
UnverifiedIn a Multi-Agent architecture, the Orchestrator Agent is responsible for task decomposition and progress tracking, while Worker Agents each have their own role (e.g., Search Agent for retrieval, Critic Agent for validation, Writer Agent for output merging).84% similarUnverifiedA layered prompt architecture is recommended for production-grade AI Agents, where the outermost layer defines role identity, the middle layer defines task workflows, and the innermost layer defines specific output specifications.83% similarUnverifiedIn a multi-agent architecture, the Orchestrator is responsible for task decomposition and scheduling, delegating specific subtasks to specialized Sub-Agents for parallel or sequential execution; this is the design pattern of mainstream AI Agent frameworks such as AutoGPT, LangGraph, and OpenAI Swarm.81% similar
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