Post de lançamento do Jev
Diogo Almeida apresenta o Jev, o modelo de decisão estruturado do TypeSafe. Assistir ao filme de lançamento e explorar o fio original para o abordagem do modelo, exemplos e desempenho relatado pelo autor.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
O melhor de Jev: projetos reais, guias práticos e ideias de toda a internet.
Diogo Almeida apresenta o Jev, o modelo de decisão estruturado do TypeSafe. Assistir ao filme de lançamento e explorar o fio original para o abordagem do modelo, exemplos e desempenho relatado pelo autor.
O anúncio oficial de lançamento do TypeSafe apresenta o laboratório e direciona os desenvolvedores ao Jev. Inclui o filme de lançamento de Diogo Almeida e a introdução original.
TypeSafe anuncia acesso público ao Jev sem lista de espera. O console oficial é o ponto de partida para testar decisões tipadas em seu próprio aplicativo.
TypeSafe destaca a abordagem de saída tipada do Jev: aplicações fornecem estado e perguntas, depois atuam sobre probabilidades, escolhas ou pontuações. A anúncio vinculado também aborda a integração da 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.
Jev was integrated with Claude Code to address context compaction challenges in agent workflows, showing promising results.
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A community post about humor management on a social platform.
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Agent automates second-hand product search and decision-making. Processes 26 listings per minute with fast evaluation times.
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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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A community post describes a plugin that manages agent context by analyzing and pruning unnecessary data, available in Spanish.
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A community post testing Jev's performance in a browser environment, noting limitations after five actions.
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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 massively parallel browser-based adversarial testing suite for evaluating releases, costing pennies.
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A focus group experiment using Jev to make scroll or stop decisions on ads.
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Reduces SEO and GEO fix costs by 90% through faster data analysis and automation.
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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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Reduces context usage by 30-55% through Jev-based compaction for OMP agents.
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Jev controls both hands and fingers to play piano in real-time based on visual input.
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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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A Chrome extension enabling agents to browse and interact with websites, utilizing Jev for decision-making.
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A community project describes an agent system that uses Jev to route requests to appropriate models.
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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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An experimental local-first plugin for coding agents that uses Jev to provide quality feedback during development.
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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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An agent using headless Chromium to quickly navigate the web, demonstrated by browsing Wikipedia links efficiently.
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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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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 collection of 19 open-source projects using Jev technology for various applications including AI agents and game interactions.
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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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A community post suggests Jev accelerates computer use, claiming 100x faster processing than standard LLMs.
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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 community project exploring Jev's potential to evaluate agent progress beyond basic trace data.
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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 describing an offline decision system using Jev to evaluate research branches efficiently.
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An article explains Jev's capabilities and highlights various projects built with it.
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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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Jev automates browser tasks by selecting actions from a dynamic action space.
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A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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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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A project using Jev to enable fast voice-controlled interactions with a Mac computer.
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A system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
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A community post explaining Jev as an AI for decision-making, faster and cheaper than frontier LLMs.
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Jev analyzes outreach messages to identify signals that lead to booked demos, improving campaign performance.
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Browser extension that classifies an article's framing, type, topic, and loaded language with 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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An open-source model for form-filling tasks with low latency.
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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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Marcel Pociot's browser extension that collapses posts based on a Jev judgment.
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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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AgentRun leverages Jev for creating self-sufficient agent workflows.
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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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Lists six specific tasks where Jev is used for fact-checking, ranking, text finding, citation checking, note grouping, and agent failure analysis.
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Proposal for custom Jev-style models to optimize agent workflows. Could reduce computational costs in decision-making processes.
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Framework for running end-to-end tests with agents using Jev.
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A collection of GitHub repositories highlighting practical and developmental Jev projects, including browser agents and trading bots.
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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 describing Jev as a decision-making tool with specific limitations and use cases.
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A critique of using Jev for context compaction, highlighting issues with its approach to managing AI agent history.
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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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A community post about improving a Slack agent's speed using Jev for faster skill and tool classification.
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A small agent using Jev compaction to manage searchable memory efficiently.
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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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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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A claim about Jev's capability to process large volumes of ad data quickly, described as a market disruption.
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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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A community post providing a tutorial on Jev, including demos for browser control and AI memory.
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A social media feed optimized using user bookmarks and Jev's analysis.
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A community post discusses Jev as a faster general classifier/decision-maker, questioning its accuracy in complex scenarios and noting potential benefits in limited solution spaces with low latency requirements.
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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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Jev handles seven SEO and GEO workflows, including competitor page analysis, citation likelihood, and content optimization.
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Detects low-quality content in real-time as users scroll.
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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 community post suggesting Jev could serve as a fast, low-cost control layer for AI agents.
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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 community post demonstrating Jev's ability to score 700 leads and predict outreach message performance in 40 seconds.
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Preview of fast browser use with Jev and OpenCode's browser CLI.
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