You're testing an AI-powered recommendation engine that learns from user behavior over time. How does the model's learning affect your experiment duration and when you lock the model?

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Stay specific. One example, told well, beats three told fast. Make your decisions visible — what you chose between. End on what changed, for whom.

You're testing an AI-powered recommendation engine that learns from user behavior over time. How does the model's learning affect your experiment duration and when you lock the model?

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