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.
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Recent activityA 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.
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AI-assisted summaries and translations. Check original sources for context and performance claims.
Compact version of Jev that generates full probability distributions in a single forward pass.
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A skill for writing and improving programs that call Jev, TypeSafe's System One model.
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A demo showing how to make open source models behave like Jev using inference engineering and scoring endpoints for decision-making.
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Route to the cheapest model in claude code for your task using jev-router.
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A guide exploring Jev's architecture through 10,000 API calls.
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Minimal grammY Telegram anti-spam bot powered by TypeSafe Jev.
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A tool enhancing zsh autosuggestions with Jev-based ranking instead of prefix matching.
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Fast structured Android control loops with TypeSafe Jev and Mobile MCP.
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Uses Jev to decide which AI model to use before generating output, based on prompt and quality requirements.
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Jev rapidly analyzes 700 live ads in 40 seconds for marketing insights at low cost.
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A tool using Jev to make copy-paste interactions smarter by deciding content based on context.
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A 30-minute internal session on Jev attended by over 50 engineers, generating more than 50 product ideas.
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A community post describes using Jev with an LLM to play Doom, exploring multiple future outcomes.
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Explains Jev's role in automating decision-making processes and enabling new business models through efficient task sorting and classification.
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A claim about Jev's capability to process large volumes of ad data quickly, described as a market disruption.
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A developer project for agent-native routing that selects models based on task complexity.
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Orus uses Jev to review and approve trade strategies before execution, enhancing decision-making with structured answers.
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Jev is presented as a language generation tool in a community post, challenging perceptions about its capabilities.
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Go CLI and single-binary MCP server exposing TypeSafe judgments to Claude Desktop, Claude Code, and Codex.
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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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A community-developed resource for analyzing and improving fighting techniques through Jev's capabilities.
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A tool that automatically locates and retrieves invoices from any website using Jev's capabilities.
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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 Chrome extension using Jev to detect and skip YouTube sponsor segments in real-time.
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A community post exploring Jev's role in improv judging, presented as a creative experiment.
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Jev identifies and manages marketing messages in Android notifications without content deletion.
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Tool for systematic reviewers to extract information from research articles efficiently.
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Everyday Stocks Status with Jev.
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A developer project demonstrates Jev's rapid response to browser tasks, with decisions made in approximately 100 milliseconds.
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Testing Jev as a search reranker shows limited improvement over vector retrieval, with mixed results depending on evaluation methods.
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MCP server and agent skill for the TypeSafe AI System One API (Jev): decompose a judgment into Choice / Score / Noul questions, lint them, measure on labelled data, and put calibrated thresholds in code.
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A community experiment using Jev to analyze social media posts and determine effective content strategies.
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Detects low-quality content in real-time as users scroll.
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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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A dynamic form tool using Jev for conditional logic, built with Vercel JSON-render.
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100% free ₹0 agent-first SEO & GEO CLI suite and MCP server in Rust replacing Semrush and OpenSEO via DuckDuckGo and TypeSafe Jev System One.
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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 focus group experiment using Jev to make scroll or stop decisions on ads.
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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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A plugin using Jev's scoring capability to remove unnecessary terminal garbage and redundant logs, improving agent performance.
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A task using Jev to score 3,000 kids' snacks with multiple criteria in 28 seconds.
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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 curated list of awesome Jev / TypeSafe System One applications, libraries, and resources.
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Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground.
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A demonstration where Jev was given $10,000 to trade.
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A GitHub project routing tasks by selecting model tier, tools, skill, and effort.
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A developer project that uses Jev as a sensor to control access to agent tools, enhancing security and functionality.
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A game project involving a penalty shootout against Jev using Render Workflows and Postgres.
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Voice command integration for the Autumn billing dashboard to streamline tasks.
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Uses Jev for real-time voice commands to control a browser, processing speech to actions in 300ms with low cost.
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DuckDB extension that classifies rows in CSV, Parquet, or DuckDB tables with Jev, about 10 seconds per 1,000 rows.
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Jev is utilized for decision-making processes on Cloudflare, including support routing and risk management.
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Write Cucumber tests with just the .feature file. No step definitions — Jev (TypeSafe AI) resolves each Gherkin step and Playwright runs it.
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A community post describing control of a simulated fly.
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A React app that estimates an age range based on a Korean name, described as a developer tool.
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Standalone Android agent for Mobilerun where Jev makes every decision, with a live React studio and an Uber demo.
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A GitHub project converting agent skills into Oxlint plugins that involve Jev.
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An open-source model for form-filling tasks with low latency.
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Thread cataloguing the first wave of Jev tools: MCP servers, routers, reviewers, and browser agents.
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Evidence-backed index of real-world Jev (TypeSafe AI System One) use cases: repos, patterns, benchmarks, and measured results.
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A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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A YouTube guide explores using Jev within an agentic coding loop, focusing on cost efficiency for development tasks.

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A guide explaining three types of micro decisions used by Jev AI.

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An MLP trained on Qwen 4B that functions similarly to Jev, offering a typesafe alternative.
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A community post presents a codebase complexity classifier using Jev, aiming to address overengineered code.
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A demonstration of Jev's capability to quickly categorize a large volume of Hacker News posts.
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Jevals is a local testing environment for evaluating Jev requests and improving results through primitive operations.
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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.
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A community project describes an agent system that uses Jev to route requests to appropriate models.
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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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A content marketing tool that analyzes 12.8M viral videos to generate data-backed social media scripts.
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Jev handles seven SEO and GEO workflows, including competitor page analysis, citation likelihood, and content optimization.
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