Jev Recruiter

# Jev Recruiter

[](https://drive.google.com/file/d/1SKzLsTe4u5IbKBBO74TRC6K2s6Vd4uuE/view)

**[▶ Watch the 45 second demo](https://drive.google.com/file/d/1SKzLsTe4u5IbKBBO74TRC6K2s6Vd4uuE/view)** · Accelerated footage of Jev browsing profiles and saving potential matches.

**Give Jev a role. Watch it explore LinkedIn. Keep the profiles and the evidence.**

A local recruiting workspace built on [Browser Use’s Jev Ultrafast](https://github.com/browser-use/jev-ultrafast) and [Browser Harness](https://github.com/browser-use/browser-harness). Jev chooses where to go, screens professional titles, and assesses visible profile excerpts against your brief. The live browser sits at the top, open by default, inside a Craigslist inspired interface.

**The default provider is TypeSafe’s Jev.** You can explicitly select Morph instead. One provider handles all navigation, title screening, and evidence choices, with no secondary text model and no provider fallback.

[Quick start](#quick-start) · [How it works](#how-it-works) · [Read the loop](jev_ultrafast/recruiter.py) · [MIT license](LICENSE)

## What you can do

* Start from a relevant people search, rather than unrelated timeline posts.
* Follow relevant recommendations from the second and third profile sections in the sidebar. The first section is excluded.
* Save discovered profile URLs immediately, along with their source and title screening result.
* Review criterion findings beside quotations from the observed profile.
* Run toward a target number of potential matches, pause, step through decisions, and export JSON.
* Shortlist or pass candidates yourself.

The default brief looks for **forward deployed engineers or solutions engineers in the San Francisco Bay Area with 3 to 5 years of relevant professional engineering exper