Rebuilding a job crawler with Jev cuts runtime from 5 minutes to 20 seconds
The author rebuilt a job crawler that finds a company's Careers page and scores matching roles, and the Jev version ran about 15x faster than the LLM version; it is packaged as the jev-job-hunter skill.
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.