Multi-Agent Orchestration

Complex tasks. Patterns, orchestration, frameworks, costs, reliability.

Why multi-agent

Single agents fail on complex tasks. Multi-agent systems specialize agents per role (researcher, writer, editor, fact-checker) and coordinate. More reliable on complex tasks; harder to engineer.

Patterns

• Sequential pipeline: A → B → C.
• Hierarchical: Manager agent delegates to workers.
• Debate / critique: Multiple agents argue / refine.
• Specialist team: Each agent has role; coordinator manages.
• Voting / consensus: Multiple agents output; aggregate.

Orchestration

• Task decomposition.
• Agent assignment.
• State management between agents.
• Conflict resolution.
• Failure handling.
• Human escalation.
• Logging across agents.

Use cases

• Content production pipelines (research + draft + edit + fact-check).
• Campaign creation (brief + creative + copy + targeting).
• Customer service routing and resolution.
• Competitive intelligence gathering.
• Lead qualification and outreach.
• Reporting and insight generation.

Frameworks

• LangGraph (LangChain): Graph-based multi-agent.
• CrewAI: Role-based multi-agent.
• AutoGen (Microsoft): Conversational multi-agent.
• Anthropic Claude with MCP: Tool-use chaining.
• Custom built.

Costs

• Multiple LLM calls per task.
• Higher token usage than single agents.
• Coordination overhead.
• Tool API costs.
• Compared to single-agent or human baseline.

Reliability

• Multi-agent more reliable on complex tasks.
• Each agent simpler; easier to debug.
• Failure isolation.
• But coordination is point of failure.
• Testing harder; emergent behavior.

Advanced playbook

• Task decomposition discipline.
• Agent role specifications.
• State management documented.
• Failure handling for each agent.
• Human escalation gates.
• Cost monitoring per workflow.
• Reliability testing.
• Annual multi-agent review.
• Cross-functional ownership.
• Documentation and runbooks.

Mistakes

• Multi-agent for tasks single agent handles.
• Task decomposition unclear.
• State management broken.
• Failure handling absent.
• Cost runaway from coordination.
• Testing skipped; emergent failures.
• Human escalation gates missing.
• Documentation absent.
• Cross-functional ownership unclear.
• Annual review skipped.

Checklist

• Task decomposition documented
• Agent role specifications
• State management
• Failure handling per agent
• Human escalation gates
• Cost monitoring
• Reliability testing
• Cross-functional ownership
• Documentation and runbooks
• Annual review

Part of the AI Agents for Marketing series.