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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 ART
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AI-assisted summaries and translations. Check original sources for context and performance claims.
JEVLAB ARTThis repository serves as a comprehensive library of research papers, projects, and documentation focused on Jev foundations, trustworthiness, and cybersecurity applications. It provides curated resources for exploring System One decision-making models and their integration into various technical workflows.
JEVLAB ARTJevOut provides tools to investigate how natural-looking context additions can influence decision models. The project demonstrates that subtle background details can redirect correct decisions toward specific incorrect outcomes without altering the original task or instructions.
JEVLAB ARTJEV-MLX is a Python library for local LLM action selection on Apple Silicon using MLX. It maps application state and user requests to specific actions without requiring additional model training or fine-tuning.
JEVLAB ARTCARVE is an open-source Jev-like model family based on Qwen3.8-27B. It demonstrates a TypeSafe-compatible API that performs one-token decisions without free-form generation, offering various serving profiles for balanced accuracy and throughput in decision-making tasks.
JEVLAB ARTex-regex is a Python library that replaces traditional regex with semantic pattern matching using the Jev model. It allows developers to extract and classify text based on meaning rather than syntax, providing probability-based results without generating new text.
JEVLAB ARTjevotron is a CLI tool for field-level anomaly detection in structured files and databases, powered by Jev. It enables users to preview data, scan for inconsistencies, and manage review queues using local caching and SQL-based filtering.
JEVLAB ARTJevTown is a simulation engine where AI agents navigate a pixel-art environment. It demonstrates a hybrid architecture using Jev for structured decision-making and LLMs for natural language processing, allowing agents to interact autonomously within a browser-based game world.
JEVLAB ARTThis toolkit provides a structured, typed framework for auditing Roblox Studio instances. It enables developers to perform reproducible reviews by validating scene properties against defined criteria and generating detailed, citation-backed reports to ensure consistency across team projects.
JEVLAB ARTHelpMe Jev is a self-hosted decision-making workbench that integrates Jev for structured analysis and LLMs for language tasks. It helps users evaluate tricky social or workplace situations by providing probability-based insights and drafting support while keeping the final decision-making power with the user.
JEVLAB ARTThis collection of Jupyter notebooks provides a curriculum for building typed AI decisions using Jev. It teaches developers how to structure inputs and outputs for tasks like classification and scoring, emphasizing deterministic Python logic alongside model-based judgments.
JEVLAB ARTClinicalJev is an open-source model family designed for general-purpose clinical text classification. It allows users to define tasks and labels at inference time, enabling local execution for sensitive healthcare data without requiring task-specific fine-tuning.
JEVLAB ARTreflex-cu is an MCP server for AI agents to perform computer use tasks on macOS and Windows. It improves efficiency by reading UI accessibility trees instead of relying solely on screenshots and uses Jev for rapid decision-making.
JEVLAB ARTjev-mail is a browser extension that uses the Jev AI model to classify, label, and clean up Gmail inboxes. It runs locally in your browser, using your own API key to provide privacy-focused email triage and bulk management tools.
EnglishJEVLAB ARTjev-max is a browser agent library that enhances Jev-based automation by piercing shadow DOMs and iframes. It provides robust features like canvas fallback, occlusion-checked clicks, and multi-tab support, enabling agents to interact with complex web pages through a unified MCP interface.
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JEVLAB ARTCloakBrowser-Agent is a stealth browser automation tool that integrates TypeSafe Jev for decision-making. It functions as an MCP server, CLI, or Python library, enabling human-like browser navigation by selecting operations based on calibrated probabilities rather than generating free-form code.
JEVLAB ARTLaser is an AI-powered distraction blocker for Omarchy and Hyprland. It uses TypeSafe Jev to evaluate active windows against your declared task, providing gentle, escalating nudges to keep you focused while maintaining strict local privacy controls.
EnglishJEVLAB ARTThis MCP server integrates TypeSafe AI's Jev decision model into AI agents. It provides structured, deterministic answers including certainty scores and act/review/abstain verdicts, enabling agents to perform typed evaluations on states or files without generating conversational text.
JEVLAB ARTThis Elixir library provides a client for System One decision models, supporting TypeSafe Jev, Cloudflare Clef, and OpenRouter. It enables developers to retrieve typed answers with full probability distributions for state-based decision routing, including built-in telemetry and testing stubs.
EnglishJEVLAB ARTThis package integrates a JEV System One decision model into the pi coding agent to gate subagent dispatches. It provides compliance rules, direct model querying, and optional runtime monitoring to help users manage agent behavior and task execution.
EnglishJEVLAB ARTThis local MCP bridge enables Codex to delegate drafting tasks to Gemini while using TypeSafe Jev for automated quality checks. It leverages Google AI Pro quotas via Antigravity CLI to manage routine code proposals and analysis.
JEVLAB ARToptim-jev is a Claude Code plugin that optimizes token usage through context compaction, model routing, and selective skill loading. It aims to reduce session overhead by managing tool outputs and model selection without disrupting existing developer workflows.
JEVLAB ARTThis WordPress plugin uses the Jev model to asynchronously moderate comments for spam, abuse, and relevance. It processes comments in the background to maintain submission speed, using configurable thresholds to decide whether to approve, hold, or mark comments as spam.
JEVLAB ARTJevvy provides a plugin collection for coding agents that uses TypeSafe System One models to automate shell permission approvals. It evaluates commands against risk-based thresholds, abstaining from decisions when uncertainty exists to maintain agent security.
JEVLAB ARTnocap is a System One evidence gate for RAG pipelines that evaluates retrieved context before generation. It routes queries to answer, retrieve more, abstain, or review conflicts, helping prevent hallucinations by ensuring LLMs only generate responses supported by provided evidence.
English
JEVLAB ARTjevr is an R client for JEV and TypeSafe System One models. It enables users to send structured states and typed questions to models, returning parsed, programmatic answers for decision-making tasks rather than conversational chat.
EnglishJEVLAB ARTThis repository provides a curated collection of academic preprints and technical reports regarding Jev, a System One model designed for typed probabilistic decisions. It organizes research into core sources, benchmarks, and applications to help track the rapidly evolving literature on decision-focused AI.
EnglishJEVLAB ARTJevector demonstrates a profile matching system using Clef or Jev to encode criteria into numeric vectors. It utilizes HNSW for retrieval and ranks candidates based on preference coverage, showing higher synthetic benchmark scores compared to BM25 and BGE-small.
JEVLAB ARTThis project demonstrates a multimodal moderation pipeline using Qwen3-VL with LoRA to generate structured evidence for TypeSafe Jev policy decisions. It provides reproducible baselines and evaluation protocols for identifying misogynistic content, emphasizing auditability and the trade-offs between recall and manual review costs.
简体中文JEVLAB ARTThis repository provides practical GTM workflow examples using Jev, including lead triage, deal risk assessment, and account management. It demonstrates how to integrate TypeSafe AI processes with Claude for automated business operations.
JEVLAB ARTThis experimental playground uses the Jev model to perform arithmetic, chat, and drawing tasks one decision at a time. It allows users to inspect probabilistic outputs and incident reports for every step, focusing on model behavior rather than task completion.
EnglishJEVLAB ARTNucleiSniper is a pipeline that uses TypeSafe Jev AI to profile targets and rank Nuclei templates by relevance. It aims to surface critical security findings faster by prioritizing high-value checks over generic scans.
JEVLAB ARTComfyUI-Jev provides custom nodes for integrating Jev text interpretation and judgment capabilities directly into ComfyUI workflows. It enables users to perform tasks like text scoring, candidate selection, and conditional logic using natural-language instructions.
EnglishJEVLAB ARTJEV Safety Gateway is a transparent reverse proxy that sits between Nginx and LLM backends. It intercepts requests to extract user input, evaluates them via the JEV model for safety, and blocks harmful content while passing legitimate requests through.
简体中文JEVLAB ARTJevspresso demonstrates integrating Jev with XState to manage an espresso bar simulation. By restricting the model to only select valid state machine transitions, it ensures the AI agent operates within defined physical constraints rather than generating arbitrary tool calls.
JEVLAB ARTComfyUI-SystemOne provides custom nodes that enable branching workflows based on natural-language judgments. It supports local Laya models or hosted Jev and Clef APIs to route, score, or filter image generation tasks through automated decision-making.
EnglishJEVLAB ARTThis Nextflow plugin integrates TypeSafe System One judgments into bioinformatics pipelines. It allows developers to define typed questions as pipeline values, enabling branching logic based on probability distributions rather than generated text.
JEVLAB ARTJevSceneMiner is a tool for extracting driving maneuvers from vehicle logs using Jev. It converts motion and sensor data into structured, timestamped scenes, enabling users to curate datasets, validate driving performance, and analyze maneuver patterns through a synchronized review interface.
JEVLAB ARTJevLight is a framework for traffic signal control using the Jev decision model within SUMO simulations. It demonstrates how to map intersection states and phase decisions into structured API requests, supporting both per-intersection and coordinated network-level control strategies.
EnglishJEVLAB ARTHunch is a browser-based playground for the Jev decision model. It allows users to visually construct typed queries, execute them against the OpenRouter API, and inspect probability outputs, latency, and cost metrics without requiring a backend server.
EnglishJEVLAB ARTThis tool integrates the TypeSafe Jev model into browser automation workflows to handle element selection. It functions as a wrapper for existing MCP browser servers, aiming to improve task completion and cost efficiency during automated web interactions.
JEVLAB ARTjevify identifies AI call-sites suitable for migration to JEV by auditing code for structured decision patterns. It provides a shadow-mode migration workflow to validate performance and accuracy against existing LLM implementations before committing to production changes.
EnglishJEVLAB ARTjev-lint is a command-line tool that scans Markdown knowledge bases for contradictions, stale claims, and broken links. It uses TypeSafe Jev to perform semantic analysis on content, generating a self-contained HTML report to help users identify and resolve documentation issues.
JEVLAB ARTThis Claude skill provides a design gut-check to determine if TypeSafe's Jev model is suitable for specific development tasks. It offers architectural patterns and feasibility assessments to help developers identify potential use cases for Jev's typed-judgment capabilities.
JEVLAB ARTThis OpenCode plugin uses Jev to dynamically adjust reasoning effort for AI models. It aims to optimize token usage and latency by selecting appropriate effort levels per request, rather than relying on fixed settings for all tasks.
JEVLAB ARTVibefilter is a Filament plugin that enables semantic filtering of table data using natural language. It utilizes the TypeSafe Jev model to score rows based on user-provided statements, allowing for zero-shot classification without requiring manual training data or keyword lists.
JEVLAB ARTThis repository provides a curated, auto-updated list of System One decision models. It documents various open-source alternatives to proprietary Jev interfaces, detailing their architectures, licensing, and compatibility with standard decision-making API patterns for typed inputs.
JEVLAB ARTThis repository provides a curated evidence survey of Jev and Jev-like typed decision models. It synthesizes research on calibration, failure modes, and system integration, tracing reported performance metrics back to their original academic sources.
JEVLAB ARTThis tool provides a standalone adapter for integrating TypeSafe AI semantic evidence into Agent-Workflow. It enables bounded decision-making and skill evaluation while ensuring the host system retains full control over policy, execution, and lifecycle management.
JEVLAB ARTtypesafe-eval is a CLI tool and CI gate for automated document evaluation using the TypeSafe System One API. It provides regression detection, checklist verification, and credential masking to help maintain document quality and safety in development workflows.
JEVLAB ARTCodex-Jev is a VS Code plugin that filters repetitive tool output before processing by Codex. It aims to improve clarity by highlighting relevant evidence while providing links to original logs for verification.
JEVLAB ARTVellum is an experimental tool that maps Markdown content into Sanity documents using a classifier rather than an LLM. It demonstrates how to structure data by asking a classifier to assign text blocks to specific fields based on provided schema descriptors.
JEVLAB ARTDecidealot provides a unified HTTP and MCP interface for running local models like Laya, Von, and CLM, or hosted Jev services. It enables typed classification and scoring, allowing applications to programmatically handle decisions based on model-provided probabilities and confidence metrics.
JEVLAB ARTTypeWright is a declarative compiler and runtime for Jev decisions. It allows users to define state and decision contracts, compile them into checksummed JSON programs using labeled data, and execute these programs without requiring external dependencies like DSPy at runtime.
EnglishJEVLAB ARTmappity is a tool that uses TypeSafe Jev and Cactus Needle to answer natural language queries about geographic locations. It processes OpenStreetMap and Mapillary data to assign probability scores to places based on user requests.
EnglishJEVLAB ARTThis resource provides a local GGUF implementation of the JEV-27B model for Windows. It demonstrates integration with Ollama, featuring a Qwen3.8-based backbone and optional vision-language capabilities for local AI processing tasks.
JEVLAB ARTThis tool demonstrates using TypeSafe System One to provide typed, parallel verdicts on GitHub pull requests. It replaces slow LLM chains with deterministic code-based policies and model-driven judgments to automate code review signals efficiently.
JEVLAB ARTThis resource provides interactive simulations demonstrating Jev, a System One model designed for fast, typed decision-making. It illustrates how parallel sampling and calibrated confidence can improve architecture for routing, triage, and verification tasks within existing AI systems.
JEVLAB ARTThis repository provides a test harness for TypeSafe's Jev model, designed to evaluate confidence calibration, hallucination detection, and retrieval-augmented generation performance. It includes scripts for benchmarking accuracy, cost, and latency against various datasets and alternative LLM judges.
JEVLAB ARTJevline automates incident reconstruction by starting from a single confirmed malicious process. It uses the Jev model to iteratively link related telemetry, generating a comprehensive timeline, execution chain, and evidence table from diverse, unmapped log formats.
JEVLAB ARTThis tool provides signed pre-payment risk assessments for wallets and agents. It evaluates counterparties using OFAC lists, phishing feeds, transaction simulation, and proprietary kit-watch monitoring to detect malicious contract patterns and address poisoning.
JEVLAB ARTVision-Jev is an open-source project providing vision-enabled models for judging and acting on dynamic candidate sets. It utilizes structured output heads for choice, evidence sufficiency, and quality scoring, focusing on auditable and calibratable decision-making rather than open-ended generation.
JEVLAB ARTThis Nushell plugin integrates TypeSafe Jev structured decision-making directly into the shell environment. It allows users to define questions, annotate data streams, and retrieve model-based insights using native Nushell pipelines and commands.
EnglishJEVLAB ARTSOLO Decision optimizes relational data layouts to maximize prefix-caching efficiency for LLM-based decision models. By reordering rows and fields to expose shared input prefixes, it demonstrates improved throughput in synthetic workloads using the JEV-9B model on NVIDIA hardware.
EnglishJEVLAB ARTThis project enables running the Laya non-autoregressive decision model entirely within a web browser using WebGPU or WebAssembly. It demonstrates how to perform state-based decision tasks locally without servers or API keys by leveraging ONNX Runtime Web.
JEVLAB ARTThis MCP server allows AI agents to interface with the Jev API for structured decision-making. It enables agents to perform classification, routing, and verification tasks by returning typed values with confidence scores instead of prose.
EspañolJEVLAB ARTjeffort is a Claude Code plugin that dynamically routes prompt effort levels using TypeSafe's Jev. It modifies turn steps to apply effort settings while including data redaction features to protect sensitive information during API requests.
EnglishJEVLAB ARTThis tool provides a Claude Code plugin and library for context compaction using Jev via OpenRouter. It prunes unnecessary tool calls and results while preserving verbatim text, enforcing zero data retention through mandatory provider routing configurations.
EnglishJEVLAB ARTjev-lint is a fuzzy linter for coding agents that provides real-time feedback on code quality. It helps agents identify and fix rule violations immediately after editing, reducing the need for costly post-review corrections.
EnglishJEVLAB ARTThis project provides a reference implementation for using TypeSafe's Jev model as a skill router for Claude Code. It demonstrates how to log and evaluate skill suggestions, though the author found limited utility in this specific integration.
EnglishJEVLAB ARTjev-blindspot is a prompt review tool for Claude Code and Codex CLI that identifies potential knowledge gaps in your requests. It uses a classifier to decide if analysis is needed, providing feedback in a local web UI without interrupting your session.
JEVLAB ARTjev-gateway is a local proxy that integrates Jev, a fast decision model, into coding agents like Codex and Claude Code. It intercepts tool-calling decisions to improve efficiency, while forwarding other requests to the original LLM provider without modification.
JEVLAB ARTjev4pg integrates JEV semantic intelligence into PostgreSQL, providing tools for natural language queries and semantic filtering. It features explainable embeddings and parallel execution to help users analyze existing database records through a unified workspace or native SQL extensions.
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