In this article, you will learn the key differences between single-agent and multi-agent AI systems, and how to decide which architecture fits your problem.
Topics we will cover include:
What distinguishes an agentic system from a standard large language model interaction, and how single-agent systems handle a wider range of tasks than most people expect.
The real costs of multi-agent systems — latency, token spend, failure propagation, and orchestration complexity.
The four specific conditions that make a multi-agent architecture genuinely worth the added overhead.
