Generic job descriptions attract too many unqualified candidates and repel the best ones. Most JDs are written by managers who have never studied what makes candidates apply.
Job Description Generation
76Building evidence
Improve Operations
“I want to post job descriptions that attract great candidates, not just any candidates.”
At a glance
Cost
$100–200 /mo
Time saved
3-5 hours per JD vs. writing from scratch
Difficulty
Low
Steps
6
5 AI · 1 automation
What you end up with
A bias-checked, SEO-optimized, compelling job description ready to post across platforms.
The pipeline · 6 steps
STEP 1
Claude
Requirements Capture
AI decidesSTEP 2
Claude
JD Draft
AI decidesSTEP 3
Claude
Bias Check
AI decidesSTEP 4
Claude
Salary Benchmarking
AI decidesThe honest readpros and trade-offs, side by side
What works
3
Job-ready JDs in under 1 hour
Built-in bias checking
SEO-optimized for job boards
The trade-offs
2
Requires input from hiring manager for accurate requirements
Compensation benchmarking needs validation against current market data
Where people go wrong
The failure modes builders hit most often. Avoiding these is most of the battle.
01Requirements list too long and exclusionary
02No compelling 'why join us' section
03Posting identical JDs to all platforms without optimization
Why this works
Write compelling, bias-checked job descriptions that attract qualified candidates and rank in job search.
Swap pooldrop-in alternates — tap to open the tool
Built for
HR ManagerRecruiterHiring ManagerFounder
Industries
SaaSTechnologyProfessional ServicesHealthcareFinance
Use cases
New role hiringBackfill hiringScaling teams rapidly
FAQ
What does the Job Description Generation help you do?
Generic job descriptions attract too many unqualified candidates and repel the best ones. Most JDs are written by managers who have never studied what makes candidates apply.
Which AI tools does the Job Description Generation use?
It uses Claude, Notion.
How long until the first result?
Builders typically see a first result in Same day.