This post introduces a recruiter agent that automatically searches for candidates based on a description (e.g., "Founding eng, NYC, fintech") and uses Jev to score every candidate, obtaining contact information at low cost.
Hiring is no longer a problem, We built the best Recruiter agent It finds the people you want to hire and gets their email for a few cents. Here's how it works: - Describe the hire: "Founding eng, NYC, fintech" - The agent searches for free, and Jev scores every candidate
The author tested Jev on a benchmark of 1,565 German and English business emails from industrial suppliers across 10 categories, finding it less accurate than Gemini, but focused on where the errors occurred and still plans to put it into production.
Aaron Levie says Jev helps agents make split-second decisions in workflows, data classification, and judgment calls, with a Box and Jev demo pulling an incident report from Box.
Fatih Yildiz says TypeSafe AI's Jev looks promising for observability decision model use cases, noting latency adds up when using frontier models at edge_delta for operational priority scoring and event routing, and is testing Jev.
