AI Automation
Hierarchical Task Orchestration with CrewAI: Managers, Delegated Agents & Tools
Design collaborative teams of specialized AI agents with CrewAI, dynamic delegation, hierarchical process managers, and role-based execution.
Hierarchical Process with Manager LLM
In a hierarchical crew, a Manager LLM receives high-level user goals, breaks them into subtasks, delegates them to specialized agents (e.g. Researcher, Coder, Reviewer), and synthesizes the final output.
from crewai import Agent, Crew, Process, Task
researcher = Agent(
role="Senior Market Analyst",
goal="Uncover emerging tech trends in 2026",
backstory="Veteran industry analyst with deep domain expertise"
)
writer = Agent(
role="Technical Copywriter",
goal="Synthesize research notes into executive summaries",
backstory="Expert technical writer focused on clarity"
)
task1 = Task(description="Analyze the AI agent ecosystem", expected_output="3-bullet trend summary", agent=researcher)
task2 = Task(description="Draft executive memo based on research", expected_output="1-page report", agent=writer)
crew = Crew(
agents=[researcher, writer],
tasks=[task1, task2],
process=Process.hierarchical,
verbose=True
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