Jev lansman yazısı
Diogo Almeida, TypeSafe'ın yapılandırılmış karar modeli Jev'i tanıtıyor. Lansman filmini izleyin ve modelin yaklaşımını, örneklerini ve yazarın bildirdiği performansını keşfedin.
A FIELD GUIDE TO JEV / VOL. 01
Jev’in en iyileri: gerçek projeler, pratik rehberler ve internetten fikirler.
Diogo Almeida, TypeSafe'ın yapılandırılmış karar modeli Jev'i tanıtıyor. Lansman filmini izleyin ve modelin yaklaşımını, örneklerini ve yazarın bildirdiği performansını keşfedin.
TypeSafe'ın resmi lansman duyurusu, laboratuvarı tanıtır ve geliştiricileri Jev'e yönlendirir. Diogo Almeida'nın lansman filmi ve orijinal girişimi içerir.
TypeSafe, Jev'e açık erişimi duyurdu. Resmi konsol, uygulamanızda türden kararlar denemek için başlangıç noktasıdır.
TypeSafe, Jev'in türden çıktı yaklaşımını vurgular: uygulamalar durum ve sorular sağlar, ardından olasılıklar, seçimler veya puanlara göre hareket eder. Bağlantılı duyuruda Venice API entegrasyonu da yer alır.
Start with the Launch Post. Explore four official signals.
82 kaynak
AI-assisted summaries and translations. Check original sources for context and performance claims.
Agent automates second-hand product search and decision-making. Processes 26 listings per minute with fast evaluation times.
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Reduces context usage by 30-55% through Jev-based compaction for OMP agents.
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A community post describing 500 real-time agents operating in a 3D environment with notable performance metrics.
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A massively parallel browser-based adversarial testing suite for evaluating releases, costing pennies.
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Jev automates the filling of prompt boxes by selecting appropriate agents, models, or computers for specific tasks.
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A community post providing a tutorial on Jev, including demos for browser control and AI memory.
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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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Enables instant compaction by scoring and filtering tool calls efficiently.
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Jev analyzes outreach messages to identify signals that lead to booked demos, improving campaign performance.
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Jev handles seven SEO and GEO workflows, including competitor page analysis, citation likelihood, and content optimization.
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A community post describing an offline decision system using Jev to evaluate research branches efficiently.
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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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A small agent using Jev compaction to manage searchable memory efficiently.
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An experiment using Jev to interpret voice commands and trigger tool actions before the user finishes speaking.
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A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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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 plugin using Jev's scoring capability to remove unnecessary terminal garbage and redundant logs, improving agent performance.
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Detects low-quality content in real-time as users scroll.
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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 community project describes an agent system that uses Jev to route requests to appropriate models.
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A community post about improving a Slack agent's speed using Jev for faster skill and tool classification.
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Jev automates browser tasks by selecting actions from a dynamic action space.
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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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An experimental local-first plugin for coding agents that uses Jev to provide quality feedback during development.
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A community post testing Jev's performance in a browser environment, noting limitations after five actions.
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Ultra-fast model routing using Jev for agent-based systems.
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An agent using headless Chromium to quickly navigate the web, demonstrated by browsing Wikipedia links efficiently.
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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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AgentRun leverages Jev for creating self-sufficient agent workflows.
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Marcel Pociot's browser extension that collapses posts based on a Jev judgment.
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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 plugin integrates Jev with a browser in Cline, enabling it to perform web-based tasks through a desktop application.
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An open-source model for form-filling tasks with low latency.
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A focus group experiment using Jev to make scroll or stop decisions on ads.
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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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Preview of fast browser use with Jev and OpenCode's browser CLI.
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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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A community post explaining Jev's role in improving agent efficiency and cost-effectiveness.
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A community post outlines a guide for constructing a high-speed agent brain using Jev.
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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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An article explains Jev's capabilities and highlights various projects built with it.
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A community project enabling hands-free web navigation by having Jev handle browser actions while Claude manages conversation.
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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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A system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
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An agent that plays Tetris with rapid decision-making capabilities. Shows potential for real-time game automation.
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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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Brood War in WASM exposed as an MCP server, with Jev playing and still losing to a Zerg rush.
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Jev analyzes 724 live ads from 37 brands in 40 seconds, breaking down their elements and formats.
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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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Jev was integrated with Claude Code to address context compaction challenges in agent workflows, showing promising results.
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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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A community post suggests Jev accelerates computer use, claiming 100x faster processing than standard LLMs.
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A Chrome extension enabling agents to browse and interact with websites, utilizing Jev for decision-making.
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Reduces SEO and GEO fix costs by 90% through faster data analysis and automation.
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Starchild uses Jev for real-time prompt classification, reducing costs by 20x and increasing speed by 6x with average processing time of 140ms.
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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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A project using Jev to enable fast voice-controlled interactions with a Mac computer.
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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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Jev-browser enables agents to perform web tasks by automatically opening websites and making click decisions based on screen content.
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Jev controls both hands and fingers to play piano in real-time based on visual input.
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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 Chrome extension using Jev to filter out AI-generated content from YouTube, caching results for efficiency.
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Thread cataloguing the first wave of Jev tools: MCP servers, routers, reviewers, and browser agents.
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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 social media feed optimized using user bookmarks and Jev's analysis.
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A community post about humor management on a social platform.
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A community project exploring Jev's potential to evaluate agent progress beyond basic trace data.
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Task plus subscription list in, Jev picks which model or agent should handle it.
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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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Framework for running end-to-end tests with agents using Jev.
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Jev functions as an AI-native decision-making system, defining possible outcomes and selecting from them.
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Browser extension that classifies an article's framing, type, topic, and loaded language with Jev.
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