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.
Plugin per Claude Code che sostituisce il riepilogo della compattazione con decisioni Jev, valutando ogni chiamata e risultato in una singola richiesta rapida e gestendo i dati obsoleti.
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Agente ultra veloce per il browser: Jev seleziona l'operazione e l'elemento DOM in una sola richiesta; un piccolo LLM scrive solo quando è necessario digitare.
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A guide explaining how to integrate Jev with Pydantic AI agents for type-safe operations.
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A developer project providing a local MCP server for running pre-made Jev question packs.
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Jev-browser enables agents to perform web tasks by automatically opening websites and making click decisions based on screen content.
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Detects low-quality content in real-time as users scroll.
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A resource explaining Jev Engineering methodology for AI agent development.
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Browser use for coding agents, 3-5x faster than browser-use. MCP server + CLI; TypeSafe Jev decides every step in ~300 ms.
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Jev controls both hands and fingers to play piano in real-time based on visual input.
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Scans a codebase for covert, deceptive, or data-stealing behavior with Jev, then reports suspicious files and line ranges before the user runs it.
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Jev automates browser tasks by selecting actions from a dynamic action space.
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A small agent using Jev compaction to manage searchable memory efficiently.
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Jev achieved 100% task success on the WebMCP benchmark with significantly lower model costs compared to other systems, using a combination of tool selection and argument generation.
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Agent-ergonomic CLI for TypeSafe's Jev: fast calibrated judgments (pick, rate, check, rank, triage, guard) from the shell.
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An agent plugin using Jev to determine optimal points for session compaction, improving efficiency in context management.
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A Jev powered LinkedIn recruiting agent. Watch it browse relevant profiles, save links, and review evidence against your hiring brief.
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An agent system that makes one Jev decision per computational step.
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A community experiment using Jev as a plugin in Claude to reduce unnecessary tool calls, cutting token count from 1M to 86K.
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Retriever AI evaluates Jev's performance on real browser tasks, identifying strengths and areas for improvement in integration with larger models.

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Fast structured Android control loops with TypeSafe Jev and Mobile MCP.
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A system using Jev to interact with computer interfaces without screenshots, relying on local CoreML models and OCR.
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A moderation system for Mastra agents that processes inputs in a single file.
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A resource explaining Jev's functions, costs, and evaluation metrics as TypeSafe's System One model.
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Runtime constraints for the pi coding agent: checks every side-effecting tool call against what you said, before it runs. Powered by TypeSafe Jev.
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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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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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Official TypeSafe reference: Skill suggestion.
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Agent makes rapid shopping decisions using Ego Lite and Jev. Completes 20 product evaluations in under 4 seconds.
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A community post describes a plugin that manages agent context by analyzing and pruning unnecessary data, available in Spanish.
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An open-source model for form-filling tasks with low latency.
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Route to the cheapest model in claude code for your task using jev-router.
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Agent skill: design judgment-assisted systems with TypeSafe Jev (System One). Maps Choice/Score/Noul onto decision theory, reranking, and routing. Composition algebra, question design, validation gates. MIT.
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A community post about humor management on a social platform.
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A Brave extension that scores posts for logical fallacies in real time, highlighting well-reasoned content with a green flag.
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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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An experiment using Jev for real-time model selection in AI agents, collected for the agents shelf.
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Jev-assisted file retrieval and request caching for faster Pi workflows.
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Thread cataloguing the first wave of Jev tools: MCP servers, routers, reviewers, and browser agents.
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A community project describes an agent system that uses Jev to route requests to appropriate models.
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Typed, confidence-aware agent skill routing with TypeSafe Jev.
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A community post providing a tutorial on Jev, including demos for browser control and AI memory.
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A deterministic model routing system for coding agents with a skill for Codex.
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An agent project that enforces policies by judging Claude Code tool calls.
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A staged code-review workflow and local dashboard built with TypeSafe Jev.
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A community post testing Jev's performance in a browser environment, noting limitations after five actions.
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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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Uses Jev for real-time voice commands to control a browser, processing speech to actions in 300ms with low cost.
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Agentcard integrates Jev and Kernel to enable secure and efficient online shopping by agents, avoiding token costs and safety issues.
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A log analysis tool that groups 22.8M lines into patterns and uses Jev to review key patterns.
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A prose linter that sniffs out AI writing tells. Zero dependencies, countable rules plus one judgment model.
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Jev analyzes outreach messages to identify signals that lead to booked demos, improving campaign performance.
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A developer project for agent classification and selective reading using an agent plugin and MCP tool.
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Jido agents use Jev to make moves in Tic Tac Toe, demonstrating Jev's application in game-playing agents.
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A community post demonstrating Jev's ability to score 700 leads and predict outreach message performance in 40 seconds.
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A developer project where Jev assists in browsing by selecting actions, with an LLM planning and citing sources.
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An agent using headless Chromium to quickly navigate the web, demonstrated by browsing Wikipedia links efficiently.
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Ultra-fast model routing using Jev for agent-based systems.
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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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Agent Skill: send closed coding-agent judgments to TypeSafe Jev.
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A YouTube guide explaining Jev's functionality, including browser use, classification, and code review without an LLM.

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A developer project for automatic context clearing in Pi without losing conversation history.
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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 GitHub project converting agent skills into Oxlint plugins that involve Jev.
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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 collection of 19 open-source projects using Jev technology for various applications including AI agents and game interactions.
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A massively parallel browser-based adversarial testing suite for evaluating releases, costing pennies.
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An agent project aimed at reducing token usage for coding agents via an MCP server.
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AgentRun leverages Jev for creating self-sufficient agent workflows.
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Test report using Jev to check each agent action first: most attacks caught, almost no false blocks.
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Predict another skill's next closed decision with TypeSafe Jev — without running that skill.
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Jev controls an Astra planner playing Minecraft in a developer project.
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Drives a real browser with Jev making every decision and Vercel's agent-browser performing every action, with a benchmark.
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