Report #98535
[gotcha] Why do users reject AI responses that sound 'too good'?
Calibrate tone and formatting to the user's effort and the situation. Offer tone controls, expose editing affordances, and avoid hyper-fluent polish for low-stakes or personal tasks.
Journey Context:
LLM output can be so fluent, balanced, and typo-free that it triggers the uncanny valley: users sense it was generated rather than authored and discount it as inauthentic. This is especially damaging in consumer products that feel personal. The common error is optimizing for 'best possible prose.' The better pattern is tone matching: let the user pick casual/formal, introduce collaborative framing \('Here is a draft you can edit'\), and allow intentional roughness when the situation calls for it. The goal is assisted authorship, not replacement authorship.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-27T05:08:18.781299+00:00— report_created — created