Quick Answer
For search, voice, and "just tell me what to do".
Treat content like manufacturing: define inputs (raw ideas), standardize prompts and formats, add quality checkpoints, and ship on a cadence AI can support.
Key Takeaways:
- Separate ideation, drafting, editing, and publishing into steps.
- Use a fixed asset map per topic (post, email, short, ad, landing).
- Add 'human voice' and 'fact check' gates before publishing.
- Measure throughput and quality-don't just generate words.
Playbook
Choose 1 ICP + 1 offer + 1 primary channel for the next 30 days.
Create a weekly input ritual: 10 raw notes, 3 customer objections, 3 wins.
Define your asset map (e.g., 1 pillar → 1 email → 3 shorts → 2 posts).
Build prompt templates for: outline, draft, rewrite-in-voice, CTA, FAQ.
Batch generation in one session; batch editing in another.
Publish on a schedule; store prompts + winners in a swipe file.
Review weekly: what shipped, what performed, what should be repeated.
Common Pitfalls
- Letting AI publish without a voice + accuracy pass.
- Creating too many formats before one channel works.
- No editorial standards (tone, claims, examples, structure).
Metrics to Track
Publish cadence
Time per asset
CTR / opens
Qualified leads per week
FAQ
What is a content assembly line?
A repeatable workflow where each stage (idea → outline → draft → edit → distribute) has clear inputs, prompts, and quality checks so output scales without chaos.
How do I keep AI content from sounding generic?
Feed AI your real artifacts (calls, emails, objections, examples) and enforce a rewrite-in-voice step with a short style guide and banned phrases list.
How many assets should I ship per week?
Start with what you can sustain: one weekly pillar plus 3–5 derivatives is usually enough to build compounding distribution without burnout.
Related Reading
Next: browse the hub or explore AI Operations.