The Model Workshop

Understanding the risks of multi-agent systems Autonomous agents that work together can achieve complex goals faster than a single agent. But the same coordination that makes them powerful also creates new failure modes. When one agent misinterprets its task, the error can cascade through the network before any human notices. Before you put such a system into production, you need a practical set of checks that cover not just the individual agents but the whole collective.