Jev versus HR screening: a practical comparison
HR screening is job criteria, structured interviews, and a human offer. Jev can apply a written rubric to a resume text you extracted. It is not an ATS and not a fair-hiring guarantee.
Unofficial. Employment law varies. We do not claim reduced bias. Official Jev: no LoRA on your candidates. docs.typesafe.ai.
Comparison scope
Background checks and offers stay vendors/humans. Optional: Score “mentions required license” after a parser extracts text — with audit and human override.
Criteria that decide the architecture
| Axis | Jev (System One) | HR screening |
|---|---|---|
| Offer / reject | No (policy) | Wins |
| Rubric on extracted text | Score per dimension | Recruiter |
| Protected-class inference | Do not ask | Do not ask |
| Interview scheduling | ATS | ATS |
Decision quality and control
Models inherit data and instruction bias. If you use Jev at all, log criteria, sample for adverse impact, and keep a human in the loop. This is not legal advice.
Integration trade-offs
Parser → text without photos → atomic Scores you can defend → recruiter UI. Never auto-reject on a single Noul.
TypeSafe’s public models page lists jev-1.13 at $0.042 per million input tokens with output tokens free — a vendor claim, not a jev.pro measurement. Confirm on the models page before you bid.
When each approach fits
Prefer Jev when
- You already have a written, job-related rubric and legal review
Prefer HR screening when
- Hiring decision, compensation, or background check
ATS stores; Jev optionally pre-scores text; humans hire.
What this page does not claim
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Not an EEO product.
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No quality-of-hire claims.
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Schema-safe output is not the same as factual correctness.
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No independent bake-off numbers live here.
FAQ
Can Jev rank candidates 1…n? A Choice among people is a terrible pattern (politics + bias). Score dimensions; humans rank.
Video interviews? No video input. Don’t.
Disclaimer
This is an independent unofficial site and is not affiliated with TypeSafe AI; official documentation is available at https://docs.typesafe.ai. Never treat jev.pro as TypeSafe official documentation. We do not sell, issue, or proxy API keys.
Hub: Comparisons. Siblings: vs onboarding checklists, questions for legal, governance guide. Canonical: https://docs.typesafe.ai.
Sources
Public TypeSafe or adjacent documentation only. No private claims.