The short answer
Readers get a decision-record format that separates source facts, model summaries, human judgment, dissent, owner, review date, and rollback signal.
The decision standard is simple: preserve the source, state the limits, and make the next human check obvious. A useful article should reduce uncertainty without pretending that every unknown has been resolved.
What to examine
AI can help organize evidence and draft a record, but the people responsible for a decision must confirm what was decided, why, by whom, and under which assumptions.
Start with scope. Identify the product, account, audience, jurisdiction, data, and decision involved. Then separate what was directly observed from what a vendor, researcher, regulator, or commentator says. Record dates because AI products, access rules, and prices change quickly.
A fluent synthesis can erase disagreement or uncertainty. Keep links to the original evidence and allow participants to dispute the record.
A practical way to do it
- Label extracted facts, inferences, and decisions separately.
- Require the accountable owner to confirm the final record.
- Schedule review when a stated assumption changes.
Keep the worksheet or test record with the draft. If another editor cannot reproduce the check from the saved evidence, the article is not ready.
Editorial guardrail
Do not fill a missing fact with a plausible sentence. Mark it as unknown, find a stronger source, narrow the claim, or remove it. Commentary belongs in a clearly labeled paragraph after the reported facts, not inside them.
Primary-source reading list
These are starting points, not automatic support for every sentence. The publishing editor must open each cited page and confirm the claim it supports on the day of review.
Bottom line
Readers get a decision-record format that separates source facts, model summaries, human judgment, dissent, owner, review date, and rollback signal.