A developer notices significant and unexplained changes in an AI agent's behavior, such as increased output length and new tool usage patterns, making it difficult to diagnose issues without clear error messages. The TokenJam drift detector tool helps by automatically setting a baseline from past sessions and alerting when current behavior deviates significantly, enabling proactive monitoring of AI model stability.
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