A FIELD GUIDE TO JEV / VOL. 01

Keputusan kecil.
Kemungkinan besar.

Yang terbaik dari Jev: proyek nyata, panduan praktis, dan ide dari seluruh internet.

1.195sumber16bahasaFind something
worth building.
IN THE SPOTLIGHT SOURCE: X
Gregor Zunic@gregpr07

Penggunaan Browser + Jev

Demo pencarian penerbangan oleh Gregor Zunic dengan ruang tindakan DOM dinamis.

Penggunaan Browser + Jev Lihat proyek

01 / A small decision engine. A whole new way to build.

94 sumber / Koleksi

Atur ulang filter

AI-assisted summaries and translations. Check original sources for context and performance claims.

TERJEMAHAN
Higgsfield AI 🧩X

Higgsfield model routing

Demo yang menunjukkan Jev memilih model AI paling sesuai untuk tugas generasi video dan gambar di Higgsfield.

Keputusan & peruteanEnglish
TERJEMAHAN
Kevin GrajedaX

A prompt difficulty classifier

Klasifier yang menilai kesulitan prompt secara real-time, memungkinkan mode cepat untuk prompt sederhana untuk meningkatkan interaksi pengguna.

Keputusan & peruteanEnglish
TERJEMAHAN
Rob HallamX

Pemeringkatan pos dengan SuperX

SuperX yang terintegrasi dengan Jev memungkinkan pemeringkatan pos yang cepat, menganalisis 61 pertanyaan per pos dalam waktu kurang dari satu detik dengan akurasi prediksi potensi viral yang tinggi.

Keputusan & peruteanEnglish
RINGKASAN EN
gtaras7GitHub

typesafe-jev

Screen a folder of CVs with the TypeSafe Jev decision model: typed judgments, an editable policy, free re-scoring.

Keputusan & peruteanEnglish
RINGKASAN EN
GhrezaKh74GitHub

JevTicktRouter

A .NET 10 and React 19 application for fast, structured AI-powered ticket triage using TypeSafe Jev.

Keputusan & peruteanEnglish
RINGKASAN EN
HassanX

1kpapers

A project classifying 1,018 AI research papers using Jev, achieving low cost and fast processing for organizing academic work.

Keputusan & peruteanEnglish
RINGKASAN EN
emreozyorukGitHub

hush

GitHub Action for issue triage that abstains: label, spam, needs-info and duplicate in one call, each applied only above a threshold you set, and nothing at all below it.

Keputusan & peruteanEnglish
RINGKASAN EN
jev-typesafe-aiWEB

What is Jev?

Short practical intro with a Python ticket-triage example.

Keputusan & peruteanEnglish
RINGKASAN EN
EugeneBoondockGitHub

jevsql

SQL with natural-language predicates, powered by TypeSafe's Jev. Filter, rank, classify and score rows by meaning — batched, cached and cost-guarded.

Keputusan & peruteanEnglish
RINGKASAN EN
Trinay HariX

A 26-sheet plan set in 2.9 seconds

A 26-sheet construction plan set was classified in 2.9 seconds using Jev with an LLM pipeline, costing $0.0052 and matching GPT-4.1 and GPT-6 Astra performance.

Keputusan & peruteanEnglish
RINGKASAN EN
Marc KöhlbruggeX

A computer assistant that listens

A real-time computer assistant using Jev and local Whisper to process voice input, classify actions, and interact with the screen through a Swift app for accessibility.

Keputusan & peruteanEnglish
RINGKASAN EN
MongLong0214GitHub

jev-gate

Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code — V3 prototype runs today, V4 routes at the task boundary.

Keputusan & peruteanEnglish
RINGKASAN EN
Omar HernandezGitHub

jevmod

GitHub project for content moderation with category-specific probability thresholds. Enables automated content filtering.

Keputusan & peruteanEnglish
RINGKASAN EN
Wizhill05GitHub

typesafe-image-diffusion

Diffusion-style pixel art out of a classifier: 256 parallel per-pixel Jev questions plus refinement passes.

Keputusan & peruteanEnglish
RINGKASAN EN
GiesNGitHub

typesafe-jev-workflow

Async LangGraph workflow that gets a typed Jev Choice (invoice or general) and routes each inbound email to the matching handler.

Keputusan & peruteanEnglish
RINGKASAN EN
shivam2003-devGitHub

typesafe-triage-guard

Three composable judgment pipelines on TypeSafe's Jev: support-ticket triage, observability alert triage, and a deploy-risk gate.

Keputusan & peruteanEnglish
RINGKASAN EN
Joaquin MarcoffGitHub

jev-harness-router

A GitHub project routing tasks by selecting model tier, tools, skill, and effort.

Keputusan & peruteanEnglish
RINGKASAN EN
FirasSX914GitHub

calibre

Calibration and confidence-based routing measured on Banking77: 80.2% accuracy at $0.103 per 500 decisions.

Keputusan & peruteanEnglish

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