โพสต์เปิดตัว Jev
Diogo Almeida แนะนำ Jev โมเดลการตัดสินใจที่มีโครงสร้างของ TypeSafe ดูภาพยนตร์เปิดตัวและสำรวจสายการสนทนาต้นฉบับเพื่อดูแนวทาง ตัวอย่าง และประสิทธิภาพที่ผู้เขียนรายงาน
Latest addition
Source check
Recent activityA FIELD GUIDE TO JEV / VOL. 01
รวมโปรเจกต์จริง คู่มือใช้งาน และไอเดีย Jev จากทั่วอินเทอร์เน็ต
Diogo Almeida แนะนำ Jev โมเดลการตัดสินใจที่มีโครงสร้างของ TypeSafe ดูภาพยนตร์เปิดตัวและสำรวจสายการสนทนาต้นฉบับเพื่อดูแนวทาง ตัวอย่าง และประสิทธิภาพที่ผู้เขียนรายงาน
ประกาศเปิดตัวอย่างเป็นทางการของ TypeSafe แนะนำห้องทดลองและชี้ให้ผู้สร้างไปยัง Jev มีภาพยนตร์เปิดตัวของ Diogo Almeida และการแนะนำตัวอย่างแรก
TypeSafe ประกาศการเข้าถึงสาธารณะของ Jev โดยไม่มีรายชื่อรอ คอนโซลทางการคือจุดเริ่มต้นในการลองใช้การตัดสินใจแบบมีประเภทในแอปพลิเคชันของคุณเอง
TypeSafe ชี้ให้เห็นถึงแนวทางการออกผลแบบมีประเภทของ Jev: แอปพลิเคชันให้สถานะและคำถาม แล้วดำเนินการตามความน่าจะเป็น ตัวเลือก หรือคะแนน ประกาศที่เชื่อมโยงยังครอบคลุมการผสานรวม API Venice
Start with the Launch Post. Explore four official signals.
94 แหล่งข้อมูล
AI-assisted summaries and translations. Check original sources for context and performance claims.
การแสดงสาธิตที่ Jev เลือกโมเดล AI ที่เหมาะสมที่สุดสำหรับงานสร้างวิดีโอและภาพบน Higgsfield
Source-linked curation
ตัวจัดประเภทที่ประเมินความยากของคำสั่งในเวลาจริง เพื่อเปิดโหมดเร็วสำหรับคำสั่งง่ายเพื่อเพิ่มการมีส่วนร่วมของผู้ใช้
Source-linked curation
A project classifying 1,018 AI research papers using Jev, achieving low cost and fast processing for organizing academic work.
Source-linked curation
SuperX ที่ผสานกับ Jev ช่วยให้ให้คะแนนโพสต์ได้อย่างรวดเร็ว วิเคราะห์คำถาม 61 คำถามต่อโพสต์ภายในหนึ่งวินาทีด้วยความแม่นยำสูงในการพยากรณ์ความนิยม
Source-linked curation
A Jev-powered system that analyzes PDFs page by page to determine which require OCR processing.
Source-linked curation
Jev classifies 500 emails quickly and inexpensively, demonstrating its efficiency in processing tasks.
Source-linked curation
An open-source project that helps select relevant Claude Code skills by prioritizing frequently used ones through Jev integration.
Source-linked curation
Jev enables natural language search for Zillow listings, classifying properties by non-standard filters.
Source-linked curation
A task using Jev to score 3,000 kids' snacks with multiple criteria in 28 seconds.
Source-linked curation
Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification.
JEVLAB ARTSource-linked curation
Real-time Discord moderation bot: Jev evaluates messages and metadata in parallel to catch phishing, spam, and social engineering with a progressive escalation ladder.
JEVLAB ARTSource-linked curation
Marketing analytics platform whose feature flag routes brand-visibility classifiers off an LLM and onto Jev boolean decisions.
JEVLAB ARTSource-linked curation
A guide explaining Jev's approach to making typed decisions rather than processing text.
JEVLAB ARTSource-linked curation
A tool that scores video ad shots in 1.5 seconds using Maxfusion and Jev, processing over 450 ads in under three minutes.
Source-linked curation
Jev is a System One model on OpenRouter that provides decisions with probabilities.
Source-linked curation
Classifies tax documents using an LLM pipeline for efficient processing.
Source-linked curation
Jev evaluates the pacing of a frontier-AI essay written by @DarioAmodei.
Source-linked curation
A project using Jev for skill routing in an agent system, based on community development.
Source-linked curation
Uses Jev to decide which AI model to use before generating output, based on prompt and quality requirements.
Source-linked curation
An ad blocker extension using AI for real-time classification and removal of ads.
Source-linked curation
Open-source Jev log triage for OpenTelemetry. Score the signal before expensive LLM analysis.
Source-linked curation
GitHub project for content moderation with category-specific probability thresholds. Enables automated content filtering.
JEVLAB ARTSource-linked curation
ACME live support-call scoring demo with TypeSafe AI, Effect, SQLite, React, Vite, and Turborepo.
Source-linked curation
A community post detailing a dashboard that classifies X posts across eight dimensions using Jev for content research.
Source-linked curation
A community post about using Jev for incident triage in Box, returning boolean results with probabilities.
Source-linked curation
Runnable Jev examples through OpenRouter for immediate implementation.
JEVLAB ARTSource-linked curation
A GitHub project for a Pareto-optimal OpenRouter router for Pi, decided by Jev.
Source-linked curation
Jev enables flexible, type-safe classification as a fundamental programming primitive.
Source-linked curation
A GitHub Action using Jev for automated PR triage and classification.
JEVLAB ARTSource-linked curation
A setup where Jev selects between different AI models for specific tasks, streamlining model usage in a single terminal.

Source-linked curation
A system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
Source-linked curation
A GitHub project routing tasks by selecting model tier, tools, skill, and effort.
JEVLAB ARTSource-linked curation
Neon Function proxy for the Neon AI Gateway with TypeSafe Jev routing.
Source-linked curation
Calibration and confidence-based routing measured on Banking77: 80.2% accuracy at $0.103 per 500 decisions.
Source-linked curation
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.
Source-linked curation
A GitHub project that uses Jev to triage and route posts from the live Bluesky firehose with human oversight.
JEVLAB ARTSource-linked curation
Jev demonstrated over 5x faster performance than other models in testing.
Source-linked curation
Experimental semantic line search with TypeSafe Jev via OpenRouter. Python CLI with no runtime dependencies.
Source-linked curation
Async LangGraph workflow that gets a typed Jev Choice (invoice or general) and routes each inbound email to the matching handler.
Source-linked curation
One direct Jev question per row against 12–14 Jev-scored dimensions with locally fitted weights on three classification tasks: 5,477 test rows, 25,174 Jev calls, $1.43. Decomposition wins on Japanese NLI (0.9076 vs 0.8373) but flags about 25× more hard benign rows as attacks (37.2% vs 1.5%).
Source-linked curation
A developer project for model routing with caching and failover.
Source-linked curation
Short practical intro with a Python ticket-triage example.
Source-linked curation
Jev is utilized for decision-making processes on Cloudflare, including support routing and risk management.
JEVLAB ARTSource-linked curation
Jev is demonstrated as a classification model with practical examples.

Source-linked curation
An image classifier using OCR and Jev processes 900 images in 40 seconds.
Source-linked curation
A developer project for lead scoring in Clay using Jev.
Source-linked curation
Self-hosted AI email classifier for Gmail powered by Jev. Create custom labels, organize your inbox, and filter spam with confidence and cost controls.
Source-linked curation
An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.
Source-linked curation
A demonstration of Jev's capability to quickly categorize a large volume of Hacker News posts.
Source-linked curation
LlamaIndex reranker + router powered by TypeSafe Jev — typed scores/choices, cheaper than LLM-as-judge.
Source-linked curation
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.
Source-linked curation
A guide on using Jev to route between models and block risky tool calls.
JEVLAB ARTSource-linked curation
DuckDB extension that classifies rows in CSV, Parquet, or DuckDB tables with Jev, about 10 seconds per 1,000 rows.
Source-linked curation
Open-source Jev-style System One decision model. Gemma 3 270M with a scoring head — fast, calibrated decisions in a single forward pass. No text generation. Inspired by TypeSafe.ai's Jev.
Source-linked curation
jev-router (skill). A developer project using Jev to select appropriate models for prompts in coding tasks.
Source-linked curation
Classify your inbox with Jev (TypeSafe's System One model) — tag, move, flag, and notify, all config-driven.
Source-linked curation
A prototype that classifies symptoms and updates diagnoses using medical ontologies during live clinical consultations.
Source-linked curation
Diffusion-style pixel art out of a classifier: 256 parallel per-pixel Jev questions plus refinement passes.
Source-linked curation
Screen a folder of CVs with the TypeSafe Jev decision model: typed judgments, an editable policy, free re-scoring.
Source-linked curation
TypeSafe (Jev) vs DeepSeek-flash: side-by-side speed/token/cost/accuracy comparison across invoice extraction, email classification, and reranking.
Source-linked curation
A community post presents a codebase complexity classifier using Jev, aiming to address overengineered code.
Source-linked curation
An optimized inference engine to turn LLMs into Jev-like machines: optimized for quick, lightweight, and accurate decision-making, classification, and scoring.
Source-linked curation
Classify Git commit diffs and messages with Jev. Bug fixes, security fixes/CWEs, and change types.
Source-linked curation
Analyzes 100,000 X posts in 20.4 seconds using 14 yes/no questions per post for viral potential assessment.
Source-linked curation
LaneBreak — support ticket priority+routing via TypeSafe Jev.
Source-linked curation
A community example demonstrating how Jev can classify company invoices into accounting categories rapidly.
Source-linked curation
A resource detailing a test of Jev on 12 real-world scenarios, including speed, cost, and practical applications.

Source-linked curation
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.
Source-linked curation
A demo showing how to make open source models behave like Jev using inference engineering and scoring endpoints for decision-making.
Source-linked curation
PulseLane — clinic triage decisions via TypeSafe Jev.
Source-linked curation
Comment-moderation playground: paste a comment, Jev decides what to do with it.
Source-linked curation
Eight minimal working examples of TypeSafe's Jev (a System One model) applied to mechanical and electrical engineering: CAD/CAE/CAM routing, FEM result triage, DFM screening, BOM alignment, hallucination-proof extraction. Zero dependencies.
Source-linked curation