Long Agent Loops Signal Model Failure, Not Intelligence

Loop engineering in AI agents often adds more turns to fix failures, but longer loops compound cost and errors. A 20-turn session re-sends accumulated context, making it the most expensive part of serving. The author argues that a short loop with early verification beats a long loop that finances failure.