Most Multi-Agent Systems Don't Need More Agents. They Need Better Boundaries.
The appeal of multi-agent systems is easy to understand. Instead of asking one AI to do everything, you divide work among specialists. A planner. A researcher. A reviewer. An executor. It sounds like
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Adam Lewis
Product Engineer/Architect navigating the AI revolution
A planner, researcher and reviewer only pay off if each one has something it can refuse. Otherwise you have added handoffs, and every handoff is somewhere for context to get lost between two agents that each think the other holds it. The boundaries are the spec for what a specialist will not do. That is harder to write than the agent prompts. Get those right and a single agent often turns out to be enough.