How Event-Driven Architecture Cuts AI Agent Costs

Most agent systems waste tokens by forcing general-purpose models to discover problem boundaries at inference time. Event-driven architecture shifts this burden to design, routing well-defined events to specialist agents that already know their constraints and capabilities. This architectural shift reduces not just token costs, but latency, failed calls, and unnecessary reasoning—delivering foundational efficiency gains as agent systems scale.