The failure mode of AI-assisted catalog work is not bad writing. It is a review step that was designed for ten products and quietly abandoned at four hundred.
A review process only protects you if it survives contact with volume. That means deciding, deliberately, what a reviewer reads closely and what they do not.
Separate the Two Things Reviewers Are Actually Doing
Reviewing generated product content is two distinct jobs that get muddled together. The first is factual verification: does this statement match the evidence? The second is commercial judgment: is this the right thing to say about this unit, to this buyer, at this price?
They need different people, different amounts of time, and different tools. Factual verification is comparison work and benefits enormously from having the source passage next to the sentence. Commercial judgment is editorial and benefits from seeing the page as a buyer would.
| Factual verification | Commercial judgment | |
|---|---|---|
| Question | Does the evidence support this? | Should we say this? |
| Best done by | Product or technical staff | Catalog or marketing staff |
| Needs | Source passage beside the claim | The rendered page |
| Scales by | Checking only the statements that carry a claim | Sampling, plus full review of anything unusual |
| Hard stop | Unsupported specification | Inaccurate condition language |
Put the Hard Stops in the System, Not in the Checklist
A checklist item that says 'confirm no unsupported claims' will be honored for the first fifty products and skimmed for the next three hundred. A system that refuses to release content containing an unsupported claim does not get tired.
This is the argument for automated claim checking as a gate rather than as a suggestion. It is not that software judges better than a person. It is that software applies the same judgment to product four hundred as to product one.
Generation Is Not Approval
A Workflow That Holds Up at Scale
Triage by Evidence Coverage, Not by Alphabet
Products with strong document coverage review quickly. Products with none need a decision about whether to publish at all. Sorting by coverage puts the fast work first and surfaces the real problems early.
Review Claims, Skim Prose
Read every statement that asserts a specification, compatibility, or condition. Skim the connective writing. Prose errors are cheap; claim errors are not.
Reject With a Reason, Not a Rewrite
When a draft is wrong, record why. Reasons add up into patterns. A recurring rejection reason usually points at a bad source or a bad prompt, and fixing that is worth more than fixing one product.
Batch the Second Pass
Commercial review works better in batches of similar products, where inconsistency between neighbors is obvious and a single decision can be applied across a family.
Keep the Record
Who approved what, when, and against which version. This costs nothing at the time and is the only thing that helps when something is questioned later.
What to Do When Review Becomes the Bottleneck
If reviewers are the constraint, the answer is rarely to review less carefully. It is usually that too much is reaching review in a state that was never going to pass. A rising rejection rate is a signal about the inputs: missing documents, an unresolved matching problem, or a category the drafting step handles badly.
Treat the rejection queue as diagnostic information about the upstream steps rather than as a backlog to be cleared, and the volume reaching reviewers tends to fall on its own.