Write job posts that actually attract tradespeople
More qualified applicants per posting
Illustrative example — a composite of common setups, not a specific business's story.
- Difficulty
- No-code
- Setup time
- 30 minutes
- Monthly cost
- $0-$20
- Impact
- Medium
The short version
An assistant turns your rough notes into a clear, honest job post with pay, schedule and growth path up front.
What they did
An assistant turns your rough notes into a clear, honest job post with pay, schedule and growth path up front. The owner started with a small pilot: one workflow, a few days of supervised use where every output was reviewed before it went out, then gradually let routine cases run with lighter oversight.
Agent/tool used: ChatGPT
How it went
In a typical rollout like this: more qualified applicants per posting. Most of the value comes from consistency, the task happens every time instead of when someone remembers. Expect a week or two of tuning the prompt and rules.
Worth knowing
AI drafts can be wrong or off-tone. Keep a human approving anything customer-facing at first, don't paste sensitive data (card numbers, health records, SSNs) into general chat tools, and check each tool's data and privacy terms.
Copy-paste prompt
Write a job post for a [role] at [Business Name] in [city]. Pay: [range]. Schedule: [details]. What a typical day looks like: [notes]. Why people stay: [notes]. Plain language, short paragraphs, pay in the first 3 lines, under 250 words.
Replace anything in [brackets] with your own details.
Step-by-step setup
- Write down how you handle this today, in 5-10 bullets.
- Connect or export data from Google Workspace.
- Set up ChatGPT and paste in the prompt, filling in the [placeholders].
- Test it on 5-10 real past examples and fix anything that's off.
- Run it with you approving every output for one to two weeks.
- Once you trust it, automate the routine cases and spot-check weekly.
Published 2026-09-30. Want help setting this up?