An editorial queue should show why an article is ready, needs revision, or remains on hold. Those labels are workflow decisions, not evidence that a model's…
AI-assisted practical guide. Examples are hypothetical; proposed workflows are editorial suggestions.
An editorial queue should show why an article is ready, needs revision, or remains on hold. Those labels are workflow decisions, not evidence that a model's prose has been fact-checked.
Define entry and exit criteria
Require a draft version, source packet, owner, and review notes. A “ready” item should meet the project's actual publication checks. A “hold” item should have a specific unresolved issue and a next action where possible.
Keep model generation separate from editorial acceptance. A completed text file only establishes that text was produced.
Handle a hypothetical problem
Suppose an article contains a numerical claim whose link loads but does not support the figure. Record the claim, source mismatch, and required resolution. Do not move the item forward because the prose is polished or the generation job succeeded.
If a reviewer edits the claim, keep the changed version connected to the review. An approval of an earlier body should not silently apply to a materially different one.
Make the queue useful over time
Track how long items wait and which issues recur, without treating speed as the only objective. Preserve rejected reasoning so the next draft does not repeat it. The queue should support a concrete publication decision and a durable handoff. It should not be a place where every generated article acquires an automatic approval merely by reaching the end of a script.
What is A Human Review Queue for AI-Drafted Articles about?
An editorial queue should show why an article is ready, needs revision, or remains on hold. Those labels are workflow decisions, not evidence that a model's…
What should you know about define entry and exit criteria?
Require a draft version, source packet, owner, and review notes. A “ready” item should meet the project's actual publication checks. A “hold” item should have a specific unresolved issue and a next action where possible.
What should you know about handle a hypothetical problem?
Suppose an article contains a numerical claim whose link loads but does not support the figure. Record the claim, source mismatch, and required resolution. Do not move the item forward because the prose is polished or the generation job succeeded.
What should you know about make the queue useful over time?
Track how long items wait and which issues recur, without treating speed as the only objective. Preserve rejected reasoning so the next draft does not repeat it. The queue should support a concrete publication decision and a durable handoff. It should not be a place where every generated article acquires an automatic…
References & sources
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