Penggunaan Browser + Jev
Demo pencarian penerbangan oleh Gregor Zunic dengan ruang tindakan DOM dinamis.
A FIELD GUIDE TO JEV / VOL. 01
Yang terbaik dari Jev: proyek nyata, panduan praktis, dan ide dari seluruh internet.
Demo pencarian penerbangan oleh Gregor Zunic dengan ruang tindakan DOM dinamis.
01 / A small decision engine. A whole new way to build.
94 sumber / Koleksi
Atur ulang filterAI-assisted summaries and translations. Check original sources for context and performance claims.
Demo yang menunjukkan Jev memilih model AI paling sesuai untuk tugas generasi video dan gambar di Higgsfield.
Klasifier yang menilai kesulitan prompt secara real-time, memungkinkan mode cepat untuk prompt sederhana untuk meningkatkan interaksi pengguna.
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.
Screen a folder of CVs with the TypeSafe Jev decision model: typed judgments, an editable policy, free re-scoring.
A GitHub Action using Jev for automated PR triage and classification.
A .NET 10 and React 19 application for fast, structured AI-powered ticket triage using TypeSafe Jev.
A project classifying 1,018 AI research papers using Jev, achieving low cost and fast processing for organizing academic work.
A setup where Jev selects between different AI models for specific tasks, streamlining model usage in a single terminal.
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.
Short practical intro with a Python ticket-triage example.
Jev classifies 500 emails quickly and inexpensively, demonstrating its efficiency in processing tasks.
SQL with natural-language predicates, powered by TypeSafe's Jev. Filter, rank, classify and score rows by meaning — batched, cached and cost-guarded.
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.
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.
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.
A Jev-powered system that analyzes PDFs page by page to determine which require OCR processing.
A system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
GitHub project for content moderation with category-specific probability thresholds. Enables automated content filtering.
Diffusion-style pixel art out of a classifier: 256 parallel per-pixel Jev questions plus refinement passes.
Async LangGraph workflow that gets a typed Jev Choice (invoice or general) and routes each inbound email to the matching handler.
Three composable judgment pipelines on TypeSafe's Jev: support-ticket triage, observability alert triage, and a deploy-risk gate.
An image classifier using OCR and Jev processes 900 images in 40 seconds.
A GitHub project routing tasks by selecting model tier, tools, skill, and effort.
Calibration and confidence-based routing measured on Banking77: 80.2% accuracy at $0.103 per 500 decisions.