AI product descriptions: the assistant drafts, a person approves the claim

At catalog scale nobody writes descriptions by hand anymore; the question is not whether to use the assistant, but who approves what it promises.

A product description is the salesperson standing in front of every item at once. In a shop with ten products, someone can write each one by hand and mean it. In a catalog of a thousand items, that stopped being possible years ago, and every serious shop already leans on a model to produce the first pass. So the real question buyers face is not should I use AI to write product descriptions; the honest question is which parts of the work the assistant may hold, and which parts still need a person who has touched the product.

What the machine drafts well is worth naming precisely, because it is the unglamorous bulk of the job: the structure of a description, the specifications set in a sensible order, the same description rendered in three lengths for the listing, the email, and the landing block, and a first draft in a second language for a reviewer to correct. This is work that used to consume days per hundred items, and the assistant does it in minutes without complaint. Handing that bulk to a machine is not a compromise; it is the only way a real catalog stays written at all.

What stays human is narrower and heavier. The honest claim about what the product actually does, the sentence a buyer will rely on when deciding, belongs to someone who knows the product file and signs it. The brand voice belongs to a person too: the discipline that keeps a hundred descriptions sounding like one shop rather than like a hundred different copywriters. And Arabic stays human at the approval stage: the second-language draft is a starting point, and the Arabic that ships has to read as Arabic written by someone who sells in Arabic, not as English wearing Arabic clothes.

The failure mode is specific and expensive. A description that promises what the product file does not support, a fabric that is not the fabric, a compatibility that does not exist, a durability no test backs, is unpleasant once. Repeated across a thousand items by an obedient machine, it becomes a returns problem with your name on it, and returns are the tax a catalog pays on claims nobody checked. The assistant does not know it is exaggerating; fluency is not truth, and the model has no file to be faithful to unless you give it one.

Hence the practice that actually works, and it is boring on purpose. The assistant drafts from the source specification, not from imagination, so every claim it makes can be traced back to a line in the product file. A person approves the claim, one reviewer who compares the draft against the spec and owns the signature. And before the pattern ships to the whole batch, a sample of it gets read by a native speaker in the second language, because an error in the pattern repeats in every item the pattern touches.

The same discipline draws the line against the worse habit nearby: the assistant never invents numbers. Prices, weights, capacities, and delivery windows come from the product file and the payment system, never from a draft, because a fluent wrong number at catalog scale is a billing dispute in writing. Where the model fills a gap it cannot see, the review step exists to catch exactly that, and a reviewer who only reads for style is not doing the job the description needs.

Guidance, not guarantees: let the machine write the bulk and let a person own the promise. Draft from the spec, approve the claim, sample the batch before the pattern ships, and the catalog scales without quietly learning to lie on your behalf.