Browser Use + Jev
Dinamik DOM eylem uzayı ile Gregor Zunic'in uçuş arama demosu.
A FIELD GUIDE TO JEV / VOL. 01
Jev’in en iyileri: gerçek projeler, pratik rehberler ve internetten fikirler.
Dinamik DOM eylem uzayı ile Gregor Zunic'in uçuş arama demosu.
01 / A small decision engine. A whole new way to build.
94 kaynak / Koleksiyon
Filtreleri sıfırlaAI-assisted summaries and translations. Check original sources for context and performance claims.
Higgsfield'da video ve resim üretimi görevleri için en uygun AI modellerini seçmeyi gösteren bir demo.
Gerçek zamanlı olarak istek zorluğunu sınıflandıran sınıflandırıcı, kullanıcı etkileşimini artırmak için basit istekler için hızlı mod sağlar.
Jev ile entegre edilen SuperX, 61 soruyu bir gecede altı saniyede analiz ederek yüksek viral potansiyel tahmin doğruluğu sağlar.
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.