All ideasMore in Work
Work

His sourcing agent learned from 60,000 past applicants and found 30 strong candidates in a month

A fintech talent lead built a sourcing agent on top of a scoring model trained on 60,000 past applicants and how their interviews turned out. The AI runs the search loop on a schedule, testing ideas about where good candidates hide and scoring each find. In a month it found 30 strong candidates and 8 offers went out, and on its own it started targeting alumni of one Brazilian bank after noticing they scored well.

How it works

  1. The agent writes ideas about where strong candidates hide
  2. It runs one idea and pulls 25 people
  3. It enriches and scores them
  4. Ideas that pay off get dug deeper
  5. After about 300 credits it rechecks its top finds for patterns
  6. Strong candidates go to the team

Why it’s worth knowing

It noticed a pattern nobody briefed it on, one bank's alumni kept passing, and quietly changed where it hunted.

Where it’s from

Summarized from a public post on reddit.com. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be
2The prompt, with the steps
3The check when it’s done
Upgraded prompts are coming soon.

Try next

WorkFind me 48 school-district customers and draft each pitch — one replied, booked and paidWorkA contractor talks measurements into his phone and QuickBooks sends the estimate in 45 secondsWorkClose a $10,000 sponsorship deal from my inbox in about four hours$10,000WorkSunday lesson planning went from up to six hours to fifteen minutes

Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.