The short answer
Readers learn to compare policy text, product behavior, scope, enforcement, and unresolved questions without treating intended behavior as measured behavior.
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
Behavior specifications shape how an assistant handles uncertainty, refusal, sensitive topics, and tool use. A policy revision can change the experience even when the model name stays the same.
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 published specification describes goals and rules; it is not evidence that every response complies. Reporting should distinguish design intent from observed performance.
A practical way to do it
- Archive the prior and current policy versions.
- Identify language that changes user expectations or tool authority.
- Test representative cases and report the method, not anecdotes alone.
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 learn to compare policy text, product behavior, scope, enforcement, and unresolved questions without treating intended behavior as measured behavior.