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.
Teknium
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