Evaluating AI Conversations: Context Breaks After Turn ThreeEvaluating AI Conversations: Context Breaks After Turn Three
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Evaluated 60 multi-turn conversations from a retail support AI to track context retention, persona consistency, and task completion across longer exchanges. Found that context drops clustered around the third and fourth turn, pointing to a memory window limitation rather than random failures, and flagged each instance with the exact turn where context broke down.
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