A person must sign off at a fixed point before release
When the approval step is simply “generate it, decide it looks good, and publish,” no one is accountable for the final judgment.

When editing generated content, polishing the prose before checking the facts can send unverified claims into the world wrapped in fluent language. A more reliable process verifies facts before refining tone and makes that sequence explicit in a checklist.

A fact-checking system cannot be built around making sentences sound right. In the editing of generated content, the work must be broken down so the failure is clear: fluent language can carry unverified facts into publication.
The aim is not to add complexity. It is to make fact-checking before tone refinement actionable at every layer.
Verify facts before refining tone. If that sequence does not hold, fact-checking has given way to making the prose sound right.
The layers of fact-checking need clear interfaces. The layer above defines what cannot change; the layer below can then see where it has room to adapt.
Without those interfaces, every situation invites a fresh interpretation of fact-checking, and polishing prose first slips back through the gaps.
Rules must be usable; examples can only illustrate them. If a team merely collects finished pieces it likes, a new situation will bring back the old problem: fluent language carrying unverified facts into publication.
The checklist should therefore state conditions, not point to a single reference piece.
The working process must be usable by anyone. Before each publication, check that the checklist still requires factual verification before tone refinement.
If only specialists can use the process, fact-checking once again becomes a matter of a few people making sentences sound right.
When the system evolves, update the rules without changing the principle. The reviewer owns it.
At the end of each cycle, return to the same question: does each factual claim in this sentence have a source? If the team can answer it, the system remains intact.
From non-negotiable principles to tools people can use in practice, each layer answers one question. This keeps fact-checking from becoming an exercise in polishing prose first.
This layer defines what cannot be compromised in fact-checking.
This layer turns fact-checking into conditions that can be checked.
This layer defines what can change in different circumstances.
This layer puts fact-checking in the hands of those using it and sets out the exceptions.
Note: This diagram is a conceptual framework. It explains a way of thinking and is not statistical data. Source: Qingmei Future Insights.
Identify where fact-checking actually comes into play when editing generated content. Do not begin by making the prose sound right.
Use a checklist instead of a longer explanation. Keep only what supports the rule: verify facts before refining tone.
Before each publication, ask only: does each factual claim in this sentence have a source? If there is no answer, there is no decision yet.
The reviewer owns this. Without someone to maintain it, fact-checking standards will quietly change when priorities conflict.
When the approval step is simply “generate it, decide it looks good, and publish,” no one is accountable for the final judgment.
If content reviewers make changes based on what they personally like, standards shift from person to person and the team cannot know what to expect.
When adding assets to a library, using them first and clarifying ownership later often leaves no one able to explain their source when asked.