One build, 6 roles
Write listings (products, units, homes, jobs)
Write listings (products, units, homes, jobs). Writes title, description and bullets per channel, checks the rule words, suggests photo order. This build has not been filmed yet; the page fills in once it is.
Where this job shows up
6 roles, counted in real job listings
| Role | What their listings say | Listings | Share |
|---|---|---|---|
| HR Generalist | Recruiting and job postings | 107 / 121 | 88% |
| Shopify Store Manager | Upload and update product listings | 81 / 100 | 81% |
| Apartment Leasing Agent | Market the property and online listings | 72 / 100 | 72% |
| Property Manager | Marketing vacancies and occupancy | 73 / 111 | 66% |
| Real Estate Assistant / TC | Listing setup and MLS input | 59 / 129 | 46% |
| Recruiter | Write and post job descriptions | 46 / 123 | 37% |
Indeed US and Canada, pulled November 4, 2026. Method and the full dataset.
How it works
The loop
- 1. Trigger
A new item to list: product added, unit vacant, home listed, job opened.
- 2. Inputs
The facts (spec sheet, unit features, MLS data, job req), photos, the rules (fair housing words, character limits, pay range laws) and past listings that worked.
- 3. Agent does
Writes title, description and bullets per channel, checks the rule words, suggests photo order.
- 4. A person checks
The owner approves before anything is published.
- 5. Lands in
Draft product in Shopify, listing site draft, MLS remarks doc, job post draft.
Tools a non-coder uses: Claude Project. Zapier with Shopify or Google Sheets; the ATS's own posting.
What changes per role: Channel and rules. Shopify: Shopify and Amazon formats. Leasing and property: Zillow and Apartments.com, fair housing words. TC: MLS remarks limits. HR and recruiters: job posts with pay ranges where the law requires them.
Watch the full build
The episode
This build is done live on AI in Context. The video, its chapters and the full transcript go here once it is published.
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