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.
A 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.
31 materiałów
AI-assisted summaries and translations. Check original sources for context and performance claims.
Eksperyment z rzeczywistym czasie, w którym Jev wybiera i zmienia ubrania na podstawie wprowadzonych danych użytkownika i analizy transkrypcji.
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A voice-controlled interface for Figma utilizing Jev, demonstrating low-cost AI integration for design tools.
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Jev demonstrates potential for innovative UX/UI design through language model integration.
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Moved hard-coded rules to Jev for faster AI processing and reduced costs in projects like aiseotracker and linkdr.
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Using Jev on Cloudflare Workers to improve search and content tagging efficiency on keep.md.
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Uses Jev to play Pokémon Showdown with mixed results, demonstrating its decision-making capabilities in a game context.
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A community experiment using Jev to analyze social media posts and determine effective content strategies.
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Uses Jev to conduct a musical orchestra in real time through a demonstration project.
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A method for expressing emotions through sound-based communication.
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Jev generates 100 images from sources like NASA and The Met based on a single prompt.
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A community post describing Jev's use for analyzing competitors' ads and generating creative shortlists.
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A user creates music by giving real-time voice commands to Jev.
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Explains Jev's advantages over older LLMs in decision-making and building.
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A system that quickly captures user interface flows on demand, enabled by Jev's fast processing capabilities.
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A 2-minute song composed by Jev-thoven using first principles.
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A live Bluesky feed with real-time emotion detection and user avatar matching.
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A method for creating pixel art through iterative sketching and refinement using Jev and DeepSeek.
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A 4-minute video explaining what Jev is and its limitations.
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A community post exploring Jev's role in improv judging, presented as a creative experiment.
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Short video explainer of how Jev's typed-decision loop works.
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A tool that automatically locates and retrieves invoices from any website using Jev's capabilities.
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Jev controls live 3D character expressions with real-time decision-making.
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Jev generates piano music by selecting notes and chords based on input sequences.
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A creative project using Jev and other tools to generate digital art, specifically a painting of the Golden Gate Bridge.
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A community post listing Chinese open-source Jev clones with technical specifications.
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An experiment using Jev to transform simple English into elaborate prose in real-time during writing.
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A process using Jev to filter and select assets, then generate ad creatives with DeepSeek and Higgsfield.
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Steve Krouse's playable 16-judgment demo and video.
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A Chrome extension using Jev to detect and skip YouTube sponsor segments in real-time.
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A community post describing a system that matches one candidate to 400 companies with a confidence score in 12 seconds.
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Video comparison against a structured-output LLM baseline.
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