Human‑AI Partnership in Content: Workflow & Governance 2025
Human vs AI roles
Define AI for research acceleration, outline scaffolding, and structured drafts, while humans own originality, experience embeds, judgment, risk review, and final accountability to uphold E‑E‑A‑T.
Connect AI prompts and outputs to CMS fields (titles, metadata, taxonomies) so delivery maps cleanly to governance rules and reduces manual reformatting in production.
Voice & style control
Centralize brand voice via living tone rules, allowed phrases, examples, and counter‑examples, then prompt AI to conform and attach a human editor pass for nuance and narrative flow.
Maintain a before/after library of edits that demonstrate how human rewrites elevate specificity, experience, and source attribution, and reuse these as prompt primers for future tasks.
Accuracy & de‑hallucination
Institute a source‑verification policy: require citations to primary or authoritative references for any claims, flag unverified assertions, and log every accepted source in an audit trail.
Segment tasks: AI drafts with explicit “no guesswork” constraints, followed by human fact‑check and SME pass, then a compliance review for sensitive topics to minimize hallucination risk.
Governed checkpoints
- Gate 1 — Editor QA: voice adherence, clarity, and unique experience inserts.
- Gate 2 — Fact‑check: source validation, date freshness, and quotation accuracy.
- Gate 3 — Compliance: IP/licensing, claims scope, and sensitive topic controls.
- Gate 4 — Web delivery: accessibility, crawlable internal links, and performance guardrails.
Use standard HTML anchors for internal links with descriptive, short text, and avoid JS‑only events to ensure crawlability and equity flow across clusters.
Cycle‑time & quality dashboard
Track draft‑to‑publish time, revision loops, error types (factual/style/voice), and publish outcomes (CTR, dwell, conversions) to tune prompts, training, and checkpoints over time.
Stabilize experience at scale: coordinate with Core Web Vitals and Technical SEO Audit guidelines so velocity gains don’t regress LCP/INP/CLS or accessibility.
By: The AI Prod Tools Team — publish under a verified Person page with method notes and reviewer sign‑offs to reinforce E‑E‑A‑T.
