Wprowadzenie do Jev
Diogo Almeida przedstawia Jev, model strukturalnych decyzji TypeSafe. Obejrzyj film prezentacyjny i eksploruj oryginalny wątek, aby poznać podejście modelu, przykłady i zgłoszone wyniki.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
To, co najlepsze w Jev: prawdziwe projekty, praktyczne poradniki i pomysły z sieci.
Diogo Almeida przedstawia Jev, model strukturalnych decyzji TypeSafe. Obejrzyj film prezentacyjny i eksploruj oryginalny wątek, aby poznać podejście modelu, przykłady i zgłoszone wyniki.
Oświadczenie o oficjalnym uruchomieniu TypeSafe przedstawia laboratorium i kieruje programistów do Jev. Zawiera film prezentacyjny Diogo Almeidy i oryginalne wstępne wprowadzenie.
TypeSafe ogłasza publiczny dostęp do Jev bez listy oczekiwania. Oficjalny konsolę jest punktem wyjścia do testowania typowanych decyzji w własnych aplikacjach.
TypeSafe wyróżnia podejście Jev do wyjściowych typów: aplikacje dostarczają stan i pytania, a następnie działają na prawdopodobieństwach, wyborach lub ocenach. Powiązane oświadczenie obejmuje integrację API Venice.
Start with the Launch Post. Explore four official signals.
301 materiałów
AI-assisted summaries and translations. Check original sources for context and performance claims.
Eksperyment łączący renderowanie JSON z Jev, aby stworzyć natychmiastowe generatywne interfejsy użytkownika do szybkiego renderowania komponentów i systemów projektowych.
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Demonstracja wyszukiwania lotów od Gregora Zunica z dynamiczną przestrzenią akcji DOM.
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Planista zapytań oparty na Jev, który poprawia wydajność Postgres, zwiększając szybkość o 12% na benchmarkach kolejności łączenia.
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A guide exploring Jev's architecture through 10,000 API calls.
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A source-backed Jev project directory with a reusable Jev-only GitHub review workflow.
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Using Jev to create Clay workflows instantly, leveraging its capabilities for rapid development.
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A community tool that filters work-in-progress todos based on semantic meaning, not just keywords.
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A developer project generating paintings based on Jev's pixel probability calculations, collected for the tools shelf.
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A community post introducing Jev board, a tool for ambient intelligence interfaces using fast, reliable models.
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A tool that uses Jev to quickly decide on GitHub PR approvals by analyzing CI, diff size, and reviews in 200 ms.
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A challenge where 100 builders used Jev and Fable 5.1 to create a post scheduler, highlighting Jev's speed.
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A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions.
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Jev is discussed with examples of Choice, Noul, and Score in a Python project.
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A community post describing control of a simulated fly.
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A self-hosted skills library with optional Jev recommendations.
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A tool that identifies App Store keywords by analyzing competitors and using Jev to filter relevant terms.
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A community post discussing a system where Jev acts as a quality gate for drafts, though it faced issues with communication.
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A community post suggesting Jev can be hired as a QA tester through @typesafeai.
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A tool for instant field mapping between templates and data sources, simplifying data alignment with one-click functionality.
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A developer project featuring a small Jev-like model running on a MacBook, collected for the tools shelf.
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Jev tags X posts in real time with labels like 'breaking,' 'golden nugget,' or 'slop'.
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A tool that improves end-to-end testing efficiency, completing tasks faster and cheaper than other models.
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An experiment exploring Jev's ability to solve pathfinding problems compared to traditional algorithms like A*.
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A command-line interface for Jev that provides answers and exit codes based on input questions.
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Aaron Levin: 155x cheaper than Opus 5, about 20x faster, and it generalizes across operating systems.
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Jev semantically formats spreadsheets instantly, with suggestions for integration into other platforms.
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A practical guide explaining the use of TypeSafe’s System One model, providing technical insights for developers.
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An experimental tool using Jev to lint Supabase Row Level Security policies.
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A Chrome extension that organizes bookmarks using user-defined rules for categorization.
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A tool for monitoring Reddit threads to gather data cited by AI, offering free analysis of 4000 threads via email, Discord, or Slack.
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A developer created an instant calorie tracking app using Jev for quick responses.
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A tool using Jev to make copy-paste interactions smarter by deciding content based on context.
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An always-on assistant built with Jev that operates without a wake word, using probability to distinguish user intent.
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A community tool utilizing Jev to filter out unwanted reply-guy comments on platforms.
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A tech publication highlights Jev as an AI model offering a cost-effective and efficient approach to software intelligence.
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A tool developed using Jev to create a voice builder for Youform, noted for its speed.
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A speech analysis tool that evaluates 30-second speeches for pauses, filler words, and confidence, providing feedback for improvement.
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A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast, typed decisions in software — Choice, Score, and Noul with calibrated probabilities.
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Jev plays Puyo Puyo. A community post describing an experiment where Jev makes decisions in a game by evaluating board states and strategies.
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A community post confirming Jev's capability to generate text, responding to a claim that it cannot.
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A user tested the new Jev model and shared insights about its significance for System One models.

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A curated list of awesome Jev / TypeSafe System One applications, libraries, and resources.
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A tool built on Jev that identifies programming languages, colors code, and checks lint rules.
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Jev offers versatile use cases, with a community post suggesting potential for rapid SaaS growth.
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A tool that processes trading signals to generate intelligent decisions, enhancing system responsiveness.
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A dynamic form tool using Jev for conditional logic, built with Vercel JSON-render.
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Jev integrates with Cal.com to quickly find team scheduling overlaps.
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Jev's effectiveness in performing intent-based search within Gmail.
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A community post about rebuilding the X algorithm with Jev to simulate post virality and global feed.
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Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync.
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Creates a dynamic audience of 100 simulated personalities that respond individually to user input using Jev.
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An experiment using Jev to enhance search functionality with intent recognition for improved user experience.
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A browser-based search tool that uses a 27K-parameter model to parse queries with Jev's assistance.
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Automates email categorization of 63,045 emails in under 3 minutes at low cost.
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An MLP trained on Qwen 4B that functions similarly to Jev, offering a typesafe alternative.
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A tool for calibrating Jev's confidence thresholds, presented as an open-source solution.
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A podcast segment discussing Jevons paradox and its connection to TypeSafe AI's funding.

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Ephraim Duncan's demo where Jev decides which model should serve a request.
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A resource explaining Jev's capabilities, limitations, and applications as a System One model.
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A small, extensible decision-to-action harness for TypeSafe Jev.
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X timeline labeler. A community post describing a Chrome extension that categorizes X posts into types like engagement bait or promo.
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A macOS tool for identifying safe ports to stop, developed as a GitHub project.
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A Jev-compatible public API using an open model for fast parallel processing.
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Testing Jev's performance in automating Android end-to-end tests, showing faster results compared to other tools.
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A community tool allowing Jev to make decisions through command-line interactions for agent systems.
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A simple Spring Boot 4 starter for TypeSafe Jev using Spring MVC and RestClient.
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Adapt local language models into Jev-compatible structured decision engines with Choice, Score, and Noul outputs powered by prefill-only binary inference.
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Semantic schemas over TypeSafe's Jev — validate the state locally, then project typed answers.
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Open-source library converting Hugging Face models into Jev-style endpoints for broader accessibility.
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Local tactics shrink 225 moves to about 40 candidates, then Jev picks among tiered options.
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Describe your startup idea. Jev decides: kill it, fix it or ship it.
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Independent async and blocking Rust SDK for the TypeSafe AI System One API.
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