What it does
Transforms role details, competencies, and benefits into a polished JD with diversity-friendly language.
Why I recommend it
Keeps recruiting moving fast while ensuring JDs follow brand/tone guidelines.
Expected benefits
- Faster hiring process
- Consistent employer brand
- Reduced bias in language
- Less copywriting load on HR
- Easy localisation for different regions
How it works
Recruiter fills a short intake form (title, team, must-have skills, nice-to-haves, salary band, benefits) -> automation feeds data + brand tone guide into Claude -> AI drafts About Us, Role Overview, Responsibilities, Requirements, Benefits, Growth opportunities, DEI statement -> output pushed to Google Doc or ATS draught for review.
Quick start
Rewrite an existing JD with AI and review edits with the hiring manager, noting preferred phrasing/system names. Use that as a style calibration document for future prompts.
Level-up version
Tailor by location (benefits, compliance language), automatically include compensation bands per jurisdiction, generate short social snippets, and post to job boards directly from ATS once approvers sign off.
Tools you can use
ATS: Greenhouse, Lever, Workable, Ashby
AI: Claude, Textio, Datapeople
Automation: Zapier, Workato, Make
Docs: Google Docs, Notion template library
Also works with
Contractor role descriptions, volunteer postings, internship programmes.
Technical implementation solution
- No-code: Airtable intake -> Zapier -> Claude -> Google Doc + Slack approval workflow -> once approved, push to ATS via built-in integration.
- API-based: ATS “open requisition” webhook -> AI microservice drafts JD + social copy -> writes back to ATS + posts to job boards (Indeed, LinkedIn) via API, logging versions in Notion.
Where it gets tricky
Ensuring legal compliance (salary transparency, EEOC language), adapting benefits for international roles, preventing biassed language, and keeping approvers in the loop so the AI draught doesn’t bypass required HR/legal checks.
