JEVThe best of Jev. Real projects, practical guides and ideas from across the internet.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida introduces Jev, a structured decision model from TypeSafe. This resource provides an overview of the model's core approach, practical examples, and performance metrics as reported by the author.
TypeSafe AI@typesafeaiOFFICIALTypeSafe officially launches its research lab and introduces Jev to the developer community. This announcement features a launch film by Diogo Almeida and provides foundational context for the project's mission and future direction.
TypeSafe AI@typesafeaiOFFICIALTypeSafe has removed the waitlist for Jev, allowing public access to the platform. Developers can use the official console to integrate and test typed decision-making capabilities within their own software applications.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe highlights Jev’s typed-output approach, where applications provide state and questions to receive structured probabilities, choices, or scores. The announcement also details the integration of the Venice API for developers.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
1,262 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
This experiment explores integrating Jev into search interfaces to improve user experience through intent recognition. The creator demonstrates how intent-aware logic can refine search results within the Replicas platform.
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EnglishThis tool utilizes Jev to analyze and classify Git commit messages and diffs. It demonstrates automated categorization of software changes, specifically identifying bug fixes, security patches, and various modification types within version control history.
JEVLAB ARTEnglishThis project provides a .NET SDK designed to facilitate integration with the TypeSafe AI platform. It serves as a developer tool for managing interactions within the TypeSafe ecosystem using standard .NET development patterns and practices.
JEVLAB ARTEnglishThis tool uses Jev to evaluate markdown files against custom rule sets. It identifies content quality violations and generates scores, allowing automated agents to perform necessary corrections based on the provided feedback.
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0xCodilaA setup using Jev and GrokBot to route AI agent tasks efficiently, reducing costs and execution time with a seven-step configuration process.
EnglishJEV Document Classification enables the rapid and cost-effective classification of text-based documents using AI, leveraging TypeSafe's "System One" model.
JEVLAB ARTEnglishThis tool identifies breaking API changes by combining deterministic checks with TypeSafe JEV System One semantic analysis. It aims to detect inconsistencies often hidden within OpenAPI documentation prose to ensure better API reliability.
JEVLAB ARTEnglishThis experiment explores using Jev to interpret spoken commands in real-time. It demonstrates a method for triggering specific tool actions before the user finishes their sentence, aiming to reduce latency in voice-based agent interactions.
JEVLAB ARTEnglishjev-router (skill). A developer project using Jev to select appropriate models for prompts in coding tasks.
JEVLAB ARTEnglishThis project showcases an autonomous agent designed to play Tetris. It demonstrates rapid decision-making capabilities, highlighting the potential for real-time game automation through algorithmic play.
JEVLAB ARTEnglishA guide exploring Jev's architecture through 10,000 API calls.
JEVLAB ARTEnglishFlue agent routing with TypeSafe Jev through Cloudflare AI Gateway.
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x.comThis proposal explores the implementation of custom Jev-style models designed to streamline agent workflows. The author suggests that these specialized models could potentially lower computational expenses during complex decision-making tasks within automated agent systems.
JEVLAB ARTEnglishWorth Replying is a community tool that utilizes Jev to identify relevant X discussions. It aims to assist users in finding meaningful opportunities for business outreach and engagement within the platform.
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Riley BrownA community project describes an agent system that uses Jev to route requests to appropriate models.
EnglishBouncer is an agentic tool designed to enforce security policies by evaluating and judging tool calls made by Claude Code. It provides a mechanism for monitoring and restricting automated actions within the development environment.
JEVLAB ARTEnglishTypeSafe AI has introduced a machine-learning model designed for autonomous gameplay. This demonstration showcases the agent navigating and playing the classic game Doom to illustrate its decision-making capabilities in complex environments.
JEVLAB ARTEnglishThis study from Boring Tools Kit examines SEO audit pricing. It demonstrates how Jev triage can be used to prioritize technical fixes and identify content gaps based on calibrated probability metrics for improved search performance.
JEVLAB ARTEnglishJevLint provides configurable semantic linting for codebases using Jev. The tool demonstrates file-level NOUL judgments and includes a plugin designed to manage magic strings, offering a structured approach to maintaining code quality through semantic analysis.
JEVLAB ARTEnglishA community post discussing Jev's use in enforcing coding rules that linters cannot handle.
JEVLAB ARTEnglishJev (TypeSafe System One) backed auto mode for the Pi coding agent: semantically auto-approves bash, write, and edit tool calls and fails closed when a decision cannot be made.
JEVLAB ARTEnglishThis project features a simulated town populated by 100 AI NPCs. It demonstrates a system where Jev determines individual agent actions while the environment generates a collective narrative.
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x.comThis resource explores how Jev facilitates flexible, type-safe classification by treating it as a fundamental programming primitive. It demonstrates a conceptual approach to integrating classification logic directly into the development workflow for improved system reliability.
JEVLAB ARTEnglishPre-install security gate for npm lifecycle scripts using TypeSafe System One.
JEVLAB ARTEnglishThis video demonstrates Jev as a classification model through various practical examples. It showcases how the system handles categorization tasks, though viewers should note these are creator-led demonstrations rather than independent performance benchmarks.
EnglishThis resource demonstrates how to utilize Jev to generate Clay workflows rapidly. It highlights the potential for accelerated development cycles when integrating these tools for automated workflow creation.
JEVLAB ARTEnglishTypeSafe structured-output provider for RubyLLM 2.
JEVLAB ARTEnglishThis developer project utilizes Jev to analyze and score sales call recordings. It demonstrates a practical application for automated performance evaluation within professional communication workflows.
JEVLAB ARTEnglishProbability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
JEVLAB ARTEnglishA community post details a Pac-Man game where every move is determined by Jev, offering strategic insights.
JEVLAB ARTEnglishAn agent skill to discover TypeSafe Jev opportunities, design typed questions, and learn from recent community experiments.
JEVLAB ARTEnglishThis resource outlines how Jev is integrated into Cloudflare infrastructure. It demonstrates the application of Jev for automated decision-making tasks, specifically focusing on support routing and risk management workflows within the platform.
JEVLAB ARTEnglish⚡ Sub-100ms cognitive reflexes for autonomous coding agents. Powered by TypeSafe AI's Jev & get-fable.
JEVLAB ARTEnglishA research project on GitHub uses Jev with Qwen3 models on an NVIDIA DGX Spark system.
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AI Builder ClubThe jev-browser tool provides agents with web navigation capabilities. It demonstrates how an agent can automatically access websites and execute click actions by interpreting visual screen content to complete assigned tasks.
EnglishPiJev: a terminal coding agent with Jev in the loop — Jev ranks the repository's files before the first call, picks skills and triages failures; your coding model writes the code. Built on Pi.
JEVLAB ARTEnglishThis demonstration showcases Jev from TypeSafe AI engaging with the card game Balatro. The creator claims the system makes gameplay decisions within a 200-500ms timeframe, illustrating its potential for rapid interaction in complex, rule-based digital environments.
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OpenRouterThis resource showcases the Ori evaluation framework. OpenRouter claims that Jev achieves significantly faster performance compared to other models in their internal testing, though these results represent the creator's own benchmarks rather than independent verification.
JEVLAB ARTEnglishJev DSH 决策引擎｜面向 Agent Harness 的结构化决策插件。原生支持 DeepSeek Harness，通过 iPolloWork 支持 OpenCode、Codex Harness。
JEVLAB ARTEnglishThis video evaluates Jev across twelve distinct real-world scenarios. The creator shares observations regarding operational speed, cost efficiency, and practical utility, providing a subjective look at how the system performs in varied application environments.
EnglishThis pre-alpha PostgreSQL extension facilitates categorical classification within the TypeSafe AI framework. It provides a database-level interface for Jev-based data processing, aiming to integrate structured classification logic directly into SQL workflows for improved data handling.
JEVLAB ARTEnglishThis experimental protocol uses a Jev adapter to evaluate evidence through typed choices. It demonstrates how application code can validate permissions and execute simulated demo actions within a structured decision-making framework.
JEVLAB ARTEnglishThis demonstration showcases Jido agents utilizing Jev to execute moves within a game of Tic-Tac-Toe. It serves as a practical example of how Jev can be applied to coordinate decision-making processes in multi-agent game environments.
JEVLAB ARTEnglishThis project demonstrates a method for querying local LLMs on Apple Silicon to receive calibrated probabilities rather than raw text. It aims to provide structured output directly, bypassing the need for traditional text generation or subsequent parsing steps.
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Mike TaylorThis tool utilizes Jev to perform editorial content evaluation. It demonstrates a method for generating probability scores rather than text, aiming for increased efficiency and reduced operational costs compared to standard language models.
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Alan DaitchThis demonstration shows Jev AI playing Tetris at high speed. The creator reports the system cleared 134 lines across 357 pieces in two minutes, illustrating the model's rapid decision-making capabilities in a real-time gaming environment.
EspañolA tool that provides quick actions based on clipboard content, specifically for macOS.
JEVLAB ARTEnglishThis tool provides real-time tone analysis for Bluesky posts and drafts. It demonstrates an integration with the TypeSafe Jev API to automatically label the emotional sentiment of text content before publication.
JEVLAB ARTEnglishGuardrails for LLM apps in one API call. Prompt injection, jailbreaks, leaks, unsafe content. Built on TypeSafe Jev. MIT.
JEVLAB ARTEnglishA macOS tool for identifying safe ports to stop, developed as a GitHub project.
JEVLAB ARTEnglishThis tool provides a local browser automation interface. It utilizes TypeSafe Jev to determine bounded page actions while restricting text models to handling field values only.
JEVLAB ARTEnglishThis browser-based tool allows users to build System One API requests by composing state with Noul, Choice, and Score inputs. It provides a local mock mode and a live mode for direct API interaction while generating Python SDK code.
JEVLAB ARTEnglishThis project demonstrates semantic tool routing and typed System One decision-making for the Pi coding agent. It utilizes TypeSafe Jev to structure agentic workflows and improve the reliability of automated coding tasks.
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Marcel Pociot 🧪A macOS app that automatically organizes downloaded files using rules.
EnglishKnow before you click. A Chrome extension that reads articles and YouTube videos ahead of you and says read, skim, save, or skip — with a confidence, tuned to your goals. Open source, MV3, powered by Jev.
JEVLAB ARTEnglishThis demonstration explores using Jev for automating Android end-to-end testing workflows. The creator claims the tool achieves faster execution speeds compared to existing alternatives, though these performance metrics remain unverified by independent benchmarks.
JEVLAB ARTEnglishThis tool enables automated testing by interpreting Gherkin feature files directly through Jev. It eliminates the need for manual step definitions by using TypeSafe AI to resolve steps and executing them via Playwright.
JEVLAB ARTEnglishTypeSafe AIThis TypeSafe AI reference guide demonstrates standardized methods for extracting temporal data from unstructured text. It provides essential patterns for developers to implement reliable date parsing within their AI-driven applications.
JEVLAB ARTEnglishOpenJev: an independent Jev-inspired System One decision API based on TypeSafe.ai concepts. Choice, score and noul primitives, local mock server, Python and TypeScript SDKs. Real inference planned; not affiliated with TypeSafe AI.
JEVLAB ARTEnglishOpen-source Jev log triage for OpenTelemetry. Score the signal before expensive LLM analysis.
JEVLAB ARTEnglishNever confidently wrong: a TLA+-verified consensus kernel around TypeSafe's Jev, run through 1,680 chaos-tested pharmacy decisions with zero wrong verdicts. Film, code, and every captured call.
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Peter WangX timeline labeler. A community post describing a Chrome extension that categorizes X posts into types like engagement bait or promo.
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HassanThis project demonstrates the use of Jev to classify over 1,000 AI research papers. It serves as a practical example of automating academic document organization to improve efficiency and reduce processing costs.
EnglishThis curated repository serves as a comprehensive Chinese-language directory for Jev and TypeSafe System One resources. It aggregates official documentation, SDKs, popular applications, agent tools, and open-source projects to assist developers in navigating the ecosystem.
JEVLAB ARTEnglishThis repository provides a testing environment to benchmark Jev against alternative evaluation models. It focuses on game scenarios featuring explicit states, defined legal actions, and quantifiable outcomes to assess comparative performance.
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Sim AudienceThis experiment showcases the use of Jev to conduct A/B testing across 4,000 distinct demographic personas. It demonstrates how the platform processes and evaluates content performance across a large, simulated audience base to provide comparative insights.
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tamaraThis project demonstrates a method for instant compaction within Claude by implementing a scoring and filtering system for tool calls. It aims to improve efficiency by selectively managing the data processed during agent interactions.
EnglishVisual-Jev is a research project that explores decision-making processes based on direct image analysis. The creator demonstrates a system designed to interpret visual content without relying on text-based descriptions, focusing on automated visual reasoning capabilities.
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aresThis demonstration showcases Jev processing a large volume of advertising data. The creator claims the system can handle nearly two thousand ads in under twenty seconds, suggesting potential for high-speed market analysis workflows.
EspañolThis repository provides a framework for evaluating Jev reranking performance within RAG pipelines. It allows users to measure quality, latency, and operational costs to help assess the efficiency of different reranking configurations.
JEVLAB ARTEnglishThe invalidation layer for AI memory. Every fact gets a lease; new evidence ends it. Built on TypeSafe Jev.
JEVLAB ARTEnglishThis project provides a coding agent extension built upon the TypeSafe AI System One API. It demonstrates how to integrate Jev-based infrastructure into development workflows to facilitate automated coding tasks and agentic interactions.
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4 HIGHLIGHTS
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