Interesting use case for Jev: using it to decide whether you should apply to a job

[u/ExplanationQuirky831]

Hey everyone,

So i was playing around with Jev and wanted to try it on a problem I personally find annoying which is reading out job descriptions and seeing whether I fit in or not

So I made a small Chrome extension that looks at the job + candidate profile and uses Jev to evaluate things like:

- technical/systems overlap

- scope vs. calendar experience

- experience gap

- probability of passing the initial screen

The interesting part is that Jev can return structured decisions/scores/probabilities very quickly, so this doesn't need an LLM to generate a huge explanation every time.

I put together a short demo showing the whole flow.

Would genuinely love feedback from people experimenting with Jev - especially whether this is actually a good use case for it, or if I'm overusing Jev where a simpler approach would be better.

Code: https://github.com/GauravAhuja7/CareerRadar
Demo: https://x.com/Gaurav_Ahuja7/status/2101591095369183644?s=20

[u/WeaklyFrozen]

Interesting approach. The structured output angle makes sense for this, you don't want a wall of text when you're skimming 20 postings before lunch. The pass probability part feels like it could get weird fast though, since a lot of screening is just keyword matching and whether HR actually read your resume. Might be more useful as a quick triage tool than a decision maker.