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The detail I like most is pairing the LLM with a rule-based layer for emergency alerts rather than trusting a probabilistic model alone. I have been building voice AI for aging-in-place, and alert fatigue is what quietly makes families churn: too many false positives and people stop trusting the notifications entirely. How are you tuning the sensitivity threshold for elderly monitoring, and can families adjust it themselves?