Our Simulation Was Wrong by 37 Percentage Points — What Real LLM Agents Taught Us About Multi-Agent Cascade
I built a multi-agent security simulation, ran 6 experiments, then validated against real Claude Haiku agents. The simulation predicted 97% poison rate. Real agents: 60%. And the biggest surprise: topology matters — something the simulation said was irrelevant. What I Built A simulation-based testbed that models multi-agent systems with configurable trust architectures, network topologies, attacker types, and agent compositions. One agent gets compromised. We measure how poisoned outputs cascade through the system. ...