Why Most Multi-Agent Systems Fail Even When Evaluation Passes

# Why Your AI System Might Fail Even When Tests Say It's Working When companies test AI systems that use multiple AI agents working together, the tests often pass but the system still breaks in real situations—kind of like how a car can pass a safety inspection but still have hidden problems. The article explains a specific technique called a "watchdog pattern" that acts like a quality control inspector, catching mistakes that standard tests miss by continuing to monitor what the system actually does after it's been deployed.
How to catch a payload that looks correct but isn't, using a watchdog pattern with working Python. The post Why Most Multi-Agent Systems Fail Even When Evaluation Passes appeared first on Towards Data Science.
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