Multi-agent AI systems — networks of specialized agents that collaborate — are moving from research to production.
When to Use Multi-Agent
Clear advantages for: parallel execution, specialized expertise at different stages, workflows beyond a single context window, and independent verification.
Orchestration Patterns
Supervisor: central orchestrator decomposes and delegates. Pipeline: sequential agent chains. Debate: independent analysis then reconciliation.
Production Reliability
Address agent failures, loops, and context drift with circuit breakers, iteration limits, structured output validation, and comprehensive logging.