Multi-Agent System

Different agents can specialize in planning, research, execution, validation, or domain-specific actions while sharing information through an orchestration layer. Multi-agent designs can improve modularity for complex workflows, but they also introduce coordination, cost, observability, and error-propagation challenges. In production, these systems usually combine AI reasoning with deterministic rules, permissions, state management, monitoring, and human escalation.