The Economics of Embarrassment: How Honest Questions Save AI Costs

As multi-agent AI systems become more complex, their token consumption becomes a critical cost concern that's often overlooked until production. The author argues that professional vulnerability—asking the dumb questions others avoid—is the cheapest way to catch expensive architectural mistakes. For AI teams, this insight reframes embarrassment as a valuable design tool, not a liability.