I rebuilt my job crawler with Jev.
Rebuilt a job crawler with Jev to find careers pages, follow links, recognize job pages, and score roles against a profile in about 20 seconds instead of 5 minutes.
The original post
I rebuilt my job crawler with Jev.
The task: start at a company's official homepage, find Careers, and identify jobs that match my profile.
Before, with an LLM: ~5 minutes.
After, with Jev: just over 20 seconds in my test.
Every company organizes its website differently. Jev identifies the Careers entry point, chooses which links to follow, recognizes job pages, and scores each role against my profile.
This is where Jev makes sense to me: automation that needs lots of small decisions, with faster responses and lower costs than calling an LLM at each step.
Packaged it as a skill: jev-job-hunter. Demo below.
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under websites & web apps, agents & workflows. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the websites & web apps page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post