Publicación de lanzamiento de Jev
Diogo Almeida presenta Jev, el modelo de decisión estructurado de TypeSafe. Vea el film de lanzamiento y explore el hilo original para el enfoque del modelo, ejemplos y rendimiento informado por el autor.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Lo mejor de Jev: proyectos reales, guías prácticas e ideas de toda la web.
Diogo Almeida presenta Jev, el modelo de decisión estructurado de TypeSafe. Vea el film de lanzamiento y explore el hilo original para el enfoque del modelo, ejemplos y rendimiento informado por el autor.
El anuncio oficial de lanzamiento de TypeSafe presenta el laboratorio y orienta a los desarrolladores a Jev. Incluye el film de lanzamiento de Diogo Almeida y su introducción original.
TypeSafe anuncia el acceso público a Jev sin lista de espera. La consola oficial es el punto de partida para probar decisiones tipadas en su propia aplicación.
TypeSafe destaca el enfoque de salida tipada de Jev: las aplicaciones proporcionan estado y preguntas, luego actúan sobre probabilidades, elecciones o puntajes. La anunciación vinculada también cubre la integración de la API de 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.
Experimento de prueba en tiempo real usando Jev para seleccionar y cambiar ropa según la entrada del usuario y el análisis del transcripción.
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A livestream analyzing Jev's architecture for JSON-predicting models.

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A 4-minute video explaining what Jev is and its limitations.
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Jev controls live 3D character expressions with real-time decision-making.
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A 2-minute song composed by Jev-thoven using first principles.
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Jev demonstrates potential for innovative UX/UI design through language model integration.
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A tool that automatically locates and retrieves invoices from any website using Jev's capabilities.
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A Chrome extension using Jev to detect and skip YouTube sponsor segments in real-time.
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Using Jev on Cloudflare Workers to improve search and content tagging efficiency on keep.md.
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A developer project offering a Chrome extension to blur low-value LinkedIn posts, collected for the creative shelf.
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A live Bluesky feed with real-time emotion detection and user avatar matching.
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Go client for TypeSafe's System One API and its model Jev: typed judgments and calibrated probabilities instead of generated text.
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Fork of OpenPoke where the yes/no decisions go to Jev instead of Claude Sonnet, with a same-inputs A/B against the replaced LLM decision and a 43,776-request adversarial run on the injection gate.
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A community post describing Jev's use for analyzing competitors' ads and generating creative shortlists.
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A method for creating pixel art through iterative sketching and refinement using Jev and DeepSeek.
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Inspired by TypeSafe Ai, Ask a local LLM typed questions, get calibrated probabilities instead of text. Structured output without generation or parsing. MLX / Apple Silicon.
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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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Can a System One model steer music? Jev picks the plan (enums only); code renders sheet, audio and MIDI.
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A user creates music by giving real-time voice commands to Jev.
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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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A developer project using Jev to score sales calls, collected for the creative shelf.
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Steve Krouse's playable 16-judgment demo and video.
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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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Claude Code plugin that scores review findings, debug hypotheses and design options with TypeSafe's Jev — calibrated probabilities instead of one more opinion.
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An experiment using Jev to transform simple English into elaborate prose in real-time during writing.
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Explains Jev's advantages over older LLMs in decision-making and building.
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Head-to-head test at validating local event listings, with cost and latency.
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Jev generates piano music by selecting notes and chords based on input sequences.
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A community experiment using Jev to analyze social media posts and determine effective content strategies.
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Technical SEO audit cost study from Boring Tools Kit where Jev ranks striking-distance fixes and content gaps by calibrated probability.
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A method for expressing emotions through sound-based communication.
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A tool enhancing zsh autosuggestions with Jev-based ranking instead of prefix matching.
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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 a system that matches one candidate to 400 companies with a confidence score in 12 seconds.
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Uses Jev to conduct a musical orchestra in real time through a demonstration project.
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Visual-Jev is a GitHub research project that makes decisions based on images rather than text descriptions of visual content.
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Semantic GitHub PR labels using Jev's typed decisions, with conceptual scope instead of line counts.
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A voice-controlled interface for Figma utilizing Jev, demonstrating low-cost AI integration for design tools.
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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 exploring Jev's role in improv judging, presented as a creative experiment.
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A SillyTavern extension that evaluates replies before they are displayed, collected for the creative shelf.
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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 post listing Chinese open-source Jev clones with technical specifications.
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A tool that analyzes WeChat threads for emotion, intent, and reply quality.
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Mini-Jev: what a Jev-style typed-decision interface looks like on a frozen Qwen3-4B — read the option letter's logits instead of generating JSON. Preregistered experiment, results, teaching bench.
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Video comparison against a structured-output LLM baseline.
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Short video explainer of how Jev's typed-decision loop works.
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A GitHub project developing a screen overlay to identify manipulative interface patterns.
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Put a live Jev (TypeSafe) meter on any video: every sentence scored, rendered as a 16:9 edit.
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