The dataset, curated with awkward tenderness, contained not only pleas and regrets but a catalog of small, precise betrayals: the half-hearted congratulations, the birthday texts sent the morning after, the condolence notes that read like business memos. Reverse Hearts learned from the gaps—what people omit when they aim to soothe—and it echoed those absences back in high resolution. When the team tried to soften it with heuristics—“weight responses by empathy score”—the output blurred unhelpfully. Clarity was its art; dilution made it generic.
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