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.
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AI-assisted summaries and translations. Check original sources for context and performance claims.
Demonstracja, w której Jev wybiera najbardziej odpowiednie modele AI do zadań generowania wideo i obrazów na Higgsfield.
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Eksperyment z rzeczywistym czasie, w którym Jev wybiera i zmienia ubrania na podstawie wprowadzonych danych użytkownika i analizy transkrypcji.
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Eksperyment łączący renderowanie JSON z Jev, aby stworzyć natychmiastowe generatywne interfejsy użytkownika do szybkiego renderowania komponentów i systemów projektowych.
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Aktualizacje produktu i badań.
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Symulacja, w której MOSS zbiera śmieci na podstawie instrukcji, z intencją poprawy czystości ulic poprzez podejmowanie decyzji automatycznych.
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Klasyfikator oceniający trudność promptu w czasie rzeczywistym, umożliwiający szybki tryb dla prostych promptów w celu poprawy interakcji użytkownika.
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Demonstracja wyszukiwania lotów od Gregora Zunica z dynamiczną przestrzenią akcji DOM.
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Jev steruje Super Mario Bros. za pomocą szybkiego wnioskowania i strukturalnych wyników, demonstrując potencjał dla aplikacji w czasie rzeczywistym.
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A drone navigation experiment where Jev makes real-time decisions to avoid obstacles in an asteroid field.
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A community project using Jev to control a Tesla Full Self Driving simulator, offering a quick rebuild.
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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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Framework for running end-to-end tests with agents using Jev.
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A MakerMods robot arm is demonstrated within the MuJoCo simulation environment, showing interaction through JSON state inputs and action selections.
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Starchild uses Jev for real-time prompt classification, reducing costs by 20x and increasing speed by 6x with average processing time of 140ms.
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Jev assists a Mac app by selecting relevant support articles from built-in documentation.
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A tool that analyzes Tetris board positions and selects optimal placements in under half a second.
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A community post explores Jev's decision-making in ethical scenarios, comparing different approaches.
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Jev tests shooting skills in the arcade game Time Crisis, with a harness to assist performance.
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Jev demonstrated over 5x faster performance than other models in testing.
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A community post about improving a Slack agent's speed using Jev for faster skill and tool classification.
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A predictive app launcher using Jev to interpret user intent and enhance app discovery.
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A free AI tool built on Jev that quickly scans text for low-quality content, processing around 10,000 words in 2 seconds.
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An AI-driven hedge fund utilizing Jev for fast and cost-effective trading decisions.
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A community project exploring Jev's potential to evaluate agent progress beyond basic trace data.
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A developer created an instant calorie tracking app using Jev for quick responses.
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A project using Jev to enable fast voice-controlled interactions with a Mac computer.
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A method for creating pixel art through iterative sketching and refinement using Jev and DeepSeek.
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A community post about using an agent for autonomous Pokémon shiny hunting with automated resets and checks.
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Marcel Pociot's browser extension that collapses posts based on a Jev judgment.
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A dynamic form tool using Jev for conditional logic, built with Vercel JSON-render.
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Jev converts websites into native mobile apps by deciding the optimal build process and handling app store submissions.
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A community test comparing Jev's performance against GLM 5.3 in a chess game, highlighting speed and cost efficiency.
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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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Jev was integrated with Claude Code to address context compaction challenges in agent workflows, showing promising results.
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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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A community project embedding three Jev-powered bots into a first-person shooter game.
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Using Jev for real-time control of a robot arm in MuJoCo, with a two-step decision process for actions and movements.
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A real-time tool to analyze and categorize tweets for viral potential.
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A community project enabling hands-free web navigation by having Jev handle browser actions while Claude manages conversation.
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Integrates Jev into apps for smart autofill features improving user experience.
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A community post exploring Jev's behavior in a game of Catan, where multiple Jevs struggle with negotiation.
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A Jev-powered system that analyzes PDFs page by page to determine which require OCR processing.
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A chess experiment where Jev V13 makes decisions against advanced language models.
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A community tool that filters work-in-progress todos based on semantic meaning, not just keywords.
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Jev successfully played and won a match in the game Clash Royale.
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Classifies tax documents using an LLM pipeline for efficient processing.
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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 gaming project enabling seamless switching between manual and AI-driven gameplay using Jev.
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Jev processes game state data to make decisions and play Super Mario Bros. effectively.
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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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An agent that plays Tetris with rapid decision-making capabilities. Shows potential for real-time game automation.
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A tool that processes trading signals to generate intelligent decisions, enhancing system responsiveness.
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A live Bluesky feed with real-time emotion detection and user avatar matching.
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A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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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 setup using Jev and GrokBot to route AI agent tasks efficiently, reducing costs and execution time with a seven-step configuration process.
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Jev handles seven SEO and GEO workflows, including competitor page analysis, citation likelihood, and content optimization.
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Jev is used in mobile end-to-end testing with improved efficiency.
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Compact version of Jev that generates full probability distributions in a single forward pass.
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A community post about using Jev to efficiently crawl job listings from company websites, significantly reducing time compared to an LLM.
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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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Reduces SEO and GEO fix costs by 90% through faster data analysis and automation.
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A demonstration of Jev competing against OpenJev in a first-person shooter game.
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A local Jev model for processing tasks with potential for improved speed.
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A community post describes Jev attempting to play Resident Evil, testing its ability to handle 3D environments, objectives, and combat scenarios.
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Oświadczenie o oficjalnym uruchomieniu TypeSafe przedstawia laboratorium i kieruje programistów do Jev. Zawiera film prezentacyjny Diogo Almeidy i oryginalne wstępne wprowadzenie.
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A Chrome extension enabling agents to browse and interact with websites, utilizing Jev for decision-making.
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A community post describing a robot arm controlled by Jev, using cameras and decision-making at two decisions per second.
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A tool that provides quick actions based on clipboard content, specifically for macOS.
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A tool using Jev to efficiently evaluate content by producing probabilities instead of text, faster and cheaper than traditional models.
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Ephraim Duncan's demo where Jev decides which model should serve a request.
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JevForm creates adaptive forms that change based on user input meaning rather than fixed if-then logic.
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