typesafe-jev CV screener
screens a folder of CVs with Jev typed judgments against an editable policy, re-scoring candidates for free when the policy changes.
무엇을 판단하는가
CHOICE
Picks one option from a fixed set
SCORE
Rates against ordered levels
NOUL
Answers a yes / no question
Inferred from this project's own one-line summary in the community list — it reads as a SCORE decision. Read the source to confirm.
SCORE 호출은 이렇게 생겼다
이 질문 유형의 일반적인 뼈대이지 이 프로젝트의 실제 코드가 아니다.
from typesafe import TypeSafe
ts = TypeSafe()
result = ts.evaluate(
state=candidate,
questions={
"relevance": {
"type": "score",
"levels": ["low", "medium", "high"],
"instructions": "How relevant is this to the query?",
}
},
)
if result["relevance"] >= 0.7:
keep(candidate)분류와 라우팅 프로젝트 더 보기
Notraproduction GEO platform whose `NOTRA_JEV_CLASSIFIERS` flag routes brand-visibility classifiers off an LLM and onto Jev `Boolean` decisions at a 0.5 threshold, targeting 300 ms p50.jev-routerroutes Claude Code tasks to the cheapest capable model by asking Jev to choose among candidates.jev-router (prismhq)open-source LiteLLM-based router where a Jev decision picks which model serves each request.pi-jev-routeradds automatic per-request model routing to the Pi coding agent through Jev decisions on Vercel AI Gateway.