Assessing user performance within the context of synthetic interactions is a challenging endeavor. This review analyzes current methodologies for assessing human performance with AI, identifying both capabilities and weaknesses. Furthermore, the review proposes a unique bonus system designed to enhance human productivity during AI interactions.

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