The Silent Drain: Detecting Token Waste in Multi-Agent AI Systems

Multi-agent AI systems silently waste tokens through redundant queries and circular handoffs that escape traditional monitoring. Clew shifts focus from predicting theoretical failures to measuring actual token costs—a pragmatic approach that speaks in dollars rather than hypothesis. The transparent methodology, rooted in pre-registered experiments and honest failure analysis, demonstrates how rigorous experimental practices build trustworthy AI infrastructure.