Energy's cross-app reply agent analyzes ~100 of the user's past replies before drafting, so drafts land in the user's actual voice instead of generic-professional AI register. Port the mechanism into the email-inbox-triage skill's drafting step: - Step 4 now calibrates on a bounded sample (20-50) of the user's own sent replies — greeting/sign-off habits, length, formality, rhythm, per-audience differences, how the user pushes back — before drafting, with an explicit fallback when Sent is empty or inaccessible. - New pitfall + verification item pinning the calibration discipline. - Test locks the evidence-based calibration and fallback language.
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