Multi-Agent AI Systems: Architecture Patterns...

Single agents break in boring ways. You hit context limits, tools start interfering with each other, and the more capable you try to make one agent the worse it performs on any individual task. The solution most people reach for — just make the prompt bigger — is the wrong answer. Multi-agent systems are the right answer, but they introduce a different class of problem: coordination, trust, and failure modes that are harder to debug than a bad prompt. This post is about the architecture patterns