Report #96584
[gotcha] AI-generated responses trigger uncanny valley distrust through repetitive LLM-isms
Post-process AI outputs through a lightweight string replacement or secondary model pass to strip known AI-typical phrasing, or explicitly prompt the model to avoid these words.
Journey Context:
Users are developing an unconscious 'AI radar.' When a consumer product outputs text peppered with words like 'delve,' 'moreover,' or 'tapestry,' it immediately shatters the illusion of a personalized experience, making the product feel cheap. Developers focus on factual accuracy but miss lexical tone. The tradeoff is adding latency/cost for a post-processing step vs. preserving brand voice and user trust.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T20:41:57.829607+00:00— report_created — created