What protocols govern how agents hand off work, and what makes multi-agent coordination break?

Multi-agent systems coordinate through handoffs and shared state. The signal is knowing the orchestration topologies, what a clean handoff protocol carries, and why naive multi-agent often loses to one good agent.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

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LEARN THE BACKGROUND

These lessons teach the material this question tests, in order and from the beginning.

Agent Engineering·More than one agentSign in13mWhere coordination costs more than it savesMulti-agent systems have a point past which adding agents makes things worse, and it arrives earlier than people expect. This lesson covers the four costs that grow with agent count and the ways a system stalls without anything reporting a failure.

UP NEXT ON YOUR JOURNEY

Next in this trackBeyond basic tools, what advanced MCP patterns matter: resources, prompts, sampling, and roots?Next in this trackHow do you evaluate an agent's trajectory and tool-use accuracy, not just its final answer?Next in this trackWhy do agents fail on long-horizon tasks, and how do you keep reliability up over many steps?

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