Quick Answer
For search, voice, and "just tell me what to do".
Let AI handle the heavy lifting (outlines, drafts, variants). Keep the final voice and claims human, because credibility and taste are the moat.
Key Takeaways:
- AI is great at structure; humans are great at judgment.
- Voice is a system you can codify into prompts and checklists.
- Proof (examples, data, stories) is what makes content believable.
- Editing is where differentiation happens.
Playbook
Define your 'voice rules': tone, sentence length, banned phrases, examples.
Generate an outline and first draft with AI.
Rewrite the intro and transitions yourself for authentic cadence.
Add proof: customer language, screenshots, metrics, stories.
Run a final pass: reduce fluff, tighten claims, add clear CTA.
Common Pitfalls
- Publishing raw AI output.
- Over-polishing until content loses momentum.
- Making claims without evidence or examples.
Metrics to Track
Reader replies
Time to publish
Share rate
Lead-to-customer conversion
FAQ
What counts as 'final voice'?
Your signature phrases, opinions, examples, and how you explain tradeoffs-basically the parts that can't be copied from a template.
Can AI learn my voice?
It can approximate patterns if you provide samples and constraints, but you still need a human pass to ensure accuracy and integrity.
How do I reduce fluff in AI drafts?
Ask for fewer adjectives, shorter sentences, and explicit examples. Then delete any paragraph that doesn't change what the reader does next.
Related Reading
Next: browse the hub or explore AI Operations.