New paper asks why teams of AI agents fail where a single agent often matches them
JoshPurtell · x · 2026-10-30
A new paper examines why multi-agent systems underperform: splitting work across LLM 'employees' — a CEO agent, a coder, a tester — often barely beats a single agent on benchmarks. The paper digs into the reasons these agent teams fail, relevant for anyone building agent orchestration.
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