Screen job applicants against a simple scorecard
Owner reviews 5 strong candidates instead of 80 resumes
Illustrative example — a composite of common setups, not a specific business's story.
- Difficulty
- No-code
- Setup time
- 1 hour
- Monthly cost
- $20
- Impact
- Medium
The short version
An agent reads each application against your must-haves and produces a short scorecard; the owner makes every decision.
What they did
An agent reads each application against your must-haves and produces a short scorecard; the owner makes every decision. 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 / Claude projects
How it went
In a typical rollout like this: owner reviews 5 strong candidates instead of 80 resumes. 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
Role: [job title]. Must-haves: [list]. Nice-to-haves: [list]. Here is an application: [paste]. Give a 1-5 score per must-have with evidence quoted from the application, list open questions to ask in a phone screen, and do NOT consider age, gender, race, or other protected characteristics.
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 Gmail, Google Workspace.
- Set up ChatGPT / Claude projects 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 2026-10-01. Want help setting this up?