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Training AI with taste

Voice training takes two mechanisms, and you need both: written training material that holds the rules, and live calibration from your most recent finished work. This lesson names what you saw in the content example and turns it into a repeatable move for any business that publishes with its name on it. We cover how a voice doc gets built from proof instead of description, why the slop list has to be yours, what makes a self-check work, and why the training folder lives in one central place. It closes with the voice-training kit in your course assets and how to run it on your own writing.

What's covered:

  • The two mechanisms: documented rules and live calibration from recent work
  • Building voice.md from evidence: every rule with a quoted line
  • slop.md as a running list, seeded and maintained by you
  • The self-check: a specific checklist the agent runs before you see the draft
  • Training at the repo root so every skill reads the same files
  • The voice-training kit: builder prompt, voice template, slop starter
  • Where this applies: newsletters, articles, support replies, sales emails

Additional assets

This module includes member-only access to:

  • Every on-camera prompt from the newsletter build,
  • The finished repo files
  • The content drafting skill
  • The AI voice training folder and files folder,
  • The voice-training kit: the exact voice-doc builder prompt, a voice.md template, and a pre-seeded slop.md starter for training AI on your own writing.
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