All work

Evidence-based voice system

Writing System

I wanted drafts to sound like something I would send. My sent mail provided the examples the first style guide was missing.

Writing System drafts in my voice and turns recurring draft-to-sent corrections into candidate lessons. It cannot promote a lesson or send a message on its own.

I could generate a draft that satisfied every rule in the first guide and still know immediately I would never send it, which exposed self-assessment as the unreliable narrator in the model.

My corrections created another blind spot because useful edits disappeared after each send, while recipient-specific changes could look like durable style rules without a paired record of the draft and final message.

Writing System draft-versus-sent diff using synthetic content
FIG. 01 - DRAFT-VS-SENT DIFF, FORMAT SHOWN WITH SYNTHETIC CONTENT

System output against fabricated inputs; no employer data.

Open full-size image Method: see How the evidence was made.

I rebuilt the system against 2,513 sent emails, cross-checked the findings against a structured voice interview, and validated them against held-out real mail, with separate guides preserving the register differences across internal email, external email, internal notes, and public writing.

I match stamped drafts to sent messages, redact sensitive details, exclude factual and recipient-specific edits, and require a structural correction to recur before it can become a candidate lesson. An agent with send authority on my mailbox is a category of risk I’m not accepting for a marginal convenience.

Design choices

Trust behavior over aspiration

I use sent mail as the primary evidence base because the voice interview can explain a pattern but cannot overrule repeated real choices.

Preserve format differences

I keep separate guides for different registers because one universal model would flatten distinctions the corpus makes clear.

Learn from paired drafts

I compare what the system proposed with what I sent so recurrent structural edits become evidence instead of anecdotes.

Gate every promotion

I let the learning loop report candidate lessons, while changing the canonical voice model or sending a message still requires my explicit decision.

Writing System lesson review queue with a human promotion gate and synthetic content
FIG. 02 - LESSON REVIEW QUEUE, HUMAN PROMOTION GATE, SYNTHETIC CONTENT

System output against fabricated inputs; no employer data.

Open full-size image Method: see How the evidence was made.

Sent mail can preserve habits I want to change. I review candidate lessons before adding them to the voice guide.