Jev opens to everyone
TypeSafe announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
x.comJev opens to everyoneПодробнее о проекте ↗A FIELD GUIDE TO JEV / VOL. 01
Лучшее о Jev: реальные проекты, практические руководства и идеи со всего интернета.
TypeSafe announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
x.comJev opens to everyoneПодробнее о проекте ↗TypeSafe highlights Jev’s typed-output approach: applications provide state and questions, then act on probabilities, choices or scores. The linked announcement also covers the Venice API integration.
x.comAnswers your code can useПодробнее о проекте ↗TypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
Diogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.
Four official signals. A fresh starting point on each visit.
35 материалов
AI-assisted summaries and translations. Check original sources for context and performance claims.
Демонстрация, в которой Jev выбирает наиболее подходящие искусственные интеллектуальные модели для задач генерации видео и изображений на Higgsfield.
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Классификатор, оценивающий сложность промпта в реальном времени, позволяющий использовать быстрый режим для простых промптов для улучшения взаимодействия с пользователем.
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Analyzes 100,000 X posts in 20.4 seconds using 14 yes/no questions per post for viral potential assessment.
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Jev classifies 500 emails quickly and inexpensively, demonstrating its efficiency in processing tasks.
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Jev evaluates the pacing of a frontier-AI essay written by @DarioAmodei.
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A project using Jev for skill routing in an agent system, based on community development.
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A community post detailing a dashboard that classifies X posts across eight dimensions using Jev for content research.
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An image classifier using OCR and Jev processes 900 images in 40 seconds.
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An open-source project that helps select relevant Claude Code skills by prioritizing frequently used ones through Jev integration.
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A task using Jev to score 3,000 kids' snacks with multiple criteria in 28 seconds.
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A demonstration of Jev's capability to quickly categorize a large volume of Hacker News posts.
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A community post presents a codebase complexity classifier using Jev, aiming to address overengineered code.
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A prototype that classifies symptoms and updates diagnoses using medical ontologies during live clinical consultations.
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A community post about using Jev for incident triage in Box, returning boolean results with probabilities.
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Jev enables natural language search for Zillow listings, classifying properties by non-standard filters.
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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.
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A tool that scores video ad shots in 1.5 seconds using Maxfusion and Jev, processing over 450 ads in under three minutes.
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Jev enables flexible, type-safe classification as a fundamental programming primitive.
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Uses Jev to decide which AI model to use before generating output, based on prompt and quality requirements.
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A demo showing how to make open source models behave like Jev using inference engineering and scoring endpoints for decision-making.
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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.
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A community example demonstrating how Jev can classify company invoices into accounting categories rapidly.
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A project classifying 1,018 AI research papers using Jev, achieving low cost and fast processing for organizing academic work.
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Jev demonstrated over 5x faster performance than other models in testing.
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A system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
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Classifies tax documents using an LLM pipeline for efficient processing.
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A Jev-powered system that analyzes PDFs page by page to determine which require OCR processing.
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An ad blocker extension using AI for real-time classification and removal of ads.
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Jev is a System One model on OpenRouter that provides decisions with probabilities.
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DuckDB extension that classifies rows in CSV, Parquet, or DuckDB tables with Jev, about 10 seconds per 1,000 rows.
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Интеграция SuperX с Jev позволяет быстро оценивать посты, анализируя 61 вопрос на пост за менее секунды с высокой точностью прогнозирования вирусного потенциала.
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Near-real-time scoring of TikTok and Instagram hooks against about 100 personas.
x.comHook panel A/B testerПодробнее о проекте ↗Source-linked curation
Jev offers structured decision-making for security workflows with high speed.
x.comJev for security engineeringПодробнее о проекте ↗Source-linked curation
Jev enables Grok Bot to control real Chrome for faster, automated tasks instead of slow look-and-click methods.
x.comJev driving real Chrome from Grok BotПодробнее о проекте ↗Source-linked curation
Matched-precision comparison against a private fine-tuned classifier.
x.comInternal classifier field noteПодробнее о проекте ↗Source-linked curation