Il post di lancio di Jev
Diogo Almeida presenta Jev, il modello di decisione strutturato di TypeSafe. Guarda il filmato di lancio e esplora il thread originale per l'approccio del modello, esempi e prestazioni riportate dall'autore.
A FIELD GUIDE TO JEV / VOL. 01
Il meglio di Jev: progetti reali, guide pratiche e idee da tutto il web.
Diogo Almeida presenta Jev, il modello di decisione strutturato di TypeSafe. Guarda il filmato di lancio e esplora il thread originale per l'approccio del modello, esempi e prestazioni riportate dall'autore.
L'annuncio ufficiale di lancio di TypeSafe introduce il laboratorio e indica agli sviluppatori di Jev. Include il filmato di lancio di Diogo Almeida e l'introduzione originale.
TypeSafe annuncia l'accesso pubblico a Jev senza lista d'attesa. La console ufficiale è il punto di partenza per provare le decisioni tipizzate nelle proprie applicazioni.
TypeSafe evidenzia l'approccio di output tipizzato di Jev: le applicazioni forniscono stato e domande, quindi agiscono su probabilità, scelte o punteggi. L'annuncio collegato copre anche l'integrazione dell'API Venice.
Start with the Launch Post. Explore four official signals.
15 risorse
AI-assisted summaries and translations. Check original sources for context and performance claims.
Semantic GitHub PR labels using Jev's typed decisions, with conceptual scope instead of line counts.
JEVLAB ARTSource-linked curation
A tool enhancing zsh autosuggestions with Jev-based ranking instead of prefix matching.
JEVLAB ARTSource-linked curation
Can a System One model steer music? Jev picks the plan (enums only); code renders sheet, audio and MIDI.
JEVLAB ARTSource-linked curation
A developer project offering a Chrome extension to blur low-value LinkedIn posts, collected for the creative shelf.
JEVLAB ARTSource-linked curation
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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A GitHub project developing a screen overlay to identify manipulative interface patterns.
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A tool that analyzes WeChat threads for emotion, intent, and reply quality.
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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 SillyTavern extension that evaluates replies before they are displayed, collected for the creative shelf.
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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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A developer project using Jev to score sales calls, collected for the creative shelf.
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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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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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Put a live Jev (TypeSafe) meter on any video: every sentence scored, rendered as a 16:9 edit.
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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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