The Agent Swarm Fallacy

Running multiple agents can improve quality. Doing it right is the hard part. This time we look at the Agent Swarm Fallacy: the idea that throwing more agents at a problem automatically makes systems better. Yuval sits with Or Dagan, AI21 CPO, to explore why this breaks in practice, what happens when agents act instead of just think, and how test-time compute, structured execution, and smart decision points offer a solution.