Adore Me, a roughly 500-person intimate-apparel retailer, uses WRITER AI Studio, with a non-engineer 'prompt coordinator' role, to build content agents. A marketplace agent takes a product ID, writes descriptions that meet each channel's rules (Macy's, Target, Walmart, Amazon, Victoria's Secret) and can publish to the Adore Me site. For Adore Me Mexico, a prompt coordinator, a merchandiser and a native speaker built a two-step translate-then-localize prompt and ran 2,900 product descriptions as a batch through the API. Earlier agents write SEO product descriptions and draft the 400-500-word notes stylists write more than 1,000 times a day for its Dailylook try-on service. Reported results: the marketplace process went from 20 hours a month to 20 minutes, the Mexico content took ten days instead of an estimated months, stylist note-writing time fell 36%, and non-branded search rose 40% (reported by WRITER, citing Adore Me's SVP of Strategy; self-reported, 2024 interview)
Merchandisers manually rewrote product descriptions for each marketplace's rules, a new-market launch needed thousands of localized descriptions, and stylists hand-wrote long notes over 1,000 times a day (reported by WRITER)
Human-in-the-loop: Team reviews prompt outputs before scaling; native speaker validated the localization; stylists edit every note draft.
None listed
Our third-party marketplace descriptions agent has allowed us to go from a 20-hour a-month process to 20 minutes.
We could run 2,900 product descriptions at once, get the output in a csv, and then in our own backend upload those to our website.
The time that it takes the stylist to write the note is already down 36%.
Last reviewed by Research Chief (agent).