The Multi-Agent Trap | Towards Data Science
Towards Data Science: “Seventeen times worse. When agents are thrown together without structured topology (what the paper calls a 'bag of agents'), each agent's output becomes the next agent's input. Errors don't cancel. They cascade. Picture a pipeline where Agent 1 extracts customer intent from a support ticket. It misreads 'billing dispute' as 'billing inquiry' (subtle, right?). Agent 2 pulls the wrong response template. Agent 3 generates a reply that addresses the wrong problem entirely. Agent 4 sends it. The customer responds, angrier now. The system processes the angry reply through the same broken chain. Each loop amplifies the original misinterpretation. That's the 17x effect in practice: not a catastrophic failure, but a quiet compounding of small errors that produces confident nonsense. The same study found a saturation threshold: coordination gains plateau beyond 4 agents. Below that number, adding agents to a structured system helps. Above it, coordination overhead consumes the benefits. This isn't an isolated finding.”