On this page
Learning objectives
- Model content as a workflow rather than a generation task
- Define quality gates for facts, voice, SEO, and publication
- Create update triggers that keep published assets current
Prerequisites
A documented editorial process · One approved brand and evidence policy
Answer first
Canonical definition
AI content operations is a versioned pipeline that moves evidence through briefing, production, review, publication, distribution, and refresh while keeping ownership and approval visible.
Operating context
Why it matters
Generation is usually the shortest stage; waiting for inputs, review, and distribution determines throughput.
A shared content state prevents duplicate work and makes refreshes cheaper than one-off rewrites.
Method
Step by step
- 01
Define content states
Use explicit stages such as evidence-ready, brief-approved, draft-review, publish-ready, live, and update-required.
- 02
Attach acceptance criteria
Each transition needs an owner and checks for claims, sources, intent, voice, links, metadata, and legal constraints.
- 03
Automate reversible work
Use AI for extraction, structure, first drafts, link suggestions, and QA reports before automating publication.
- 04
Close the loop
Feed search performance, sales use, corrections, and customer questions into the next brief or refresh.
Hands-on lab
Design a content state machine
Map one article from research request through 90-day refresh and specify the evidence required to move between stages.
Deliverable
A state diagram, field schema, review checklist, owners, and automation candidates.
What breaks
Common failure modes
- F1Publishing drafts without a claim-level source review
- F2Using one generic prompt across different intents and formats
- F3Optimizing production speed while the approval queue keeps growing
Beyond the demo
Production notes
- Keep raw evidence separate from generated prose so an update does not require rediscovering sources.
- Log prompt, model, reviewer, publish date, and refresh condition for each asset.
Further reading
Sources
Related Tenten resources