When Retry Loops Cost More Than Failures: Controlling AI Agent Spending

AI agent failures are often less expensive than the retry loops that follow them. This article reveals how unbounded retries compound spending while producing identical errors, and demonstrates that the solution isn't smarter models but stricter operational controls—budget caps, failure detection, and verification mechanisms that transform cost management from reactive debugging into proactive governance.