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Back to the labJEVLAB / FIELD NOTES
Fresh from the lab
A dated reading list of newly added resources and JEVLAB NEWS. Come back for what changed, or follow the RSS feed in your own reader.
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Dates show when an item became available in JEVLAB, in UTC, not when its original source was published. Translation-only edits do not count as new resources.
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jev-go Client
This Go client library enables integration with the TypeSafe System One API. It demonstrates how to implement typed judgments and calibrated probabilities within Go applications, moving away from traditional generative text outputs for structured data analysis.
github.comdecisionbridge
decisionbridge provides a Jev-inspired interface for LLMs, enabling explicit decision-making through scoring, calibration, and review thresholds. This project demonstrates a structured approach to managing model outputs by requiring verifiable choice parameters before final execution.
github.comA/B Testing with 4,000 Personas
This 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.
x.comtypesafe.zig
This project provides an idiomatic Zig client for interacting with the TypeSafe AI API. It demonstrates how to integrate TypeSafe AI services into Zig applications using native language patterns.
github.comjev-evaluation Research Project
This project explores Jev performance through nine experiments and 28 predictions using fixed parameters. It serves as a structured research repository for analyzing specific metrics and outcomes within the Jev framework.
github.comjevmeter
jevmeter provides a tool to overlay live TypeSafe Jev scoring onto video content. The project demonstrates how to analyze and render sentence-level metrics directly into a 16:9 video format for visual assessment of Jev compliance.
github.coms1s
s1s is a search tool designed to help developers navigate and trace codebases. It utilizes TypeSafe judgments and repository evidence to assist in understanding complex project structures and relationships.
github.comQuick start
This guide demonstrates the essential steps for integrating TypeSafe AI. It teaches developers how to configure an API key to generate structured, type-safe decisions from language models efficiently.
docs.typesafe.aijev-resume-analyzer
This tool utilizes TypeSafe Jev, React, and FastAPI to provide automated diagnostics for CVs. It demonstrates a workflow for evaluating resume content against specific job requirements to improve alignment.
github.comawesome-jev
This repository serves as a curated directory for research papers, open-source reproductions, and independent evaluations concerning System One models and Jev technology. It provides a structured overview of the current landscape for developers and researchers.
github.comTyped decisions, not chat
This resource provides an independent walkthrough that distinguishes TypeSafe's official project claims from available public evidence. It focuses on the practical implementation of typed decision-making frameworks rather than relying on conversational AI interfaces.
warmersun.comjev-review
This project provides an autonomous agent for reviewing pull requests. It utilizes typed decision-making, calibrated approval gates, and escalation protocols to trusted owners to streamline code review workflows within Jev-based development environments.
github.comtypesafe-sdk-rust
This repository provides a Rust SDK designed for interacting with the TypeSafe AI API. It demonstrates how to implement client-side integration for TypeSafe services within a Rust development environment.
github.comjev-pruner
This Claude Code plugin utilizes TypeSafe Jev to automatically truncate lengthy Bash command outputs. It aims to optimize context windows by ensuring models only process relevant data before analysis begins.
github.comjevsql
jevsql integrates natural-language predicates into SQL queries using TypeSafe Jev. This tool enables users to filter, rank, and classify database rows based on semantic meaning while incorporating batching, caching, and cost-management features for query execution.
github.comjeff
jeff is a self-hosted alternative to TypeSafe's jev platform. This project utilizes GliFormer to provide drop-in functionality for users seeking to manage their own instances of the service.
github.comzcode-jev
zcode-jev provides a typed judgment layer designed for coding agents. It acts as a gatekeeper between product requirement documents and deployment, offering a provider-agnostic framework for Jev-ready development workflows.
github.comawesome-jev-usecases
This repository provides a curated index of real-world Jev use cases, including patterns, benchmarks, and reported results. It serves as a reference for developers exploring the practical application of TypeSafe AI System One architectures.
github.comConstruction Plan Classification with Jev
This demonstration shows a Jev-based pipeline classifying a 26-sheet construction plan set in under three seconds. The creator claims the system achieves performance parity with advanced LLM models while maintaining low operational costs for document processing tasks.
x.comVoice-Controlled Computer Assistant
This project demonstrates a real-time assistant using Jev and local Whisper to process voice commands. It classifies user actions and interacts with the screen via a Swift application designed to enhance accessibility through automated input handling.
x.comJev vs Mistral and Gemini for Event Validation
This experiment compares Jev against Mistral and Gemini models for validating local event data. It examines performance metrics regarding latency and operational costs when processing structured event listings.
nearhere.eventsjev-report
This independent research report examines a non-verbal model developed by the creators of RLHF. It provides a 52-page document, 50 Chinese-language reproduction tests, and a comprehensive data table for technical analysis.
github.comjev-A-share-trader
This tool utilizes Jev Choice and Noul logic to perform technical analysis on A-share stocks. It evaluates market direction and volatility across two time horizons to provide Buy, Hold, or Sell assessments without executing actual trades.
github.comjev-browser Agent Skill
The 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.
x.comtoolgate
toolgate provides a calibrated tool-call firewall for AI agents, utilizing TypeSafe Jev to manage automated interactions. It functions as a hook for Claude Code, aiming to enhance security by regulating how agents execute external tools.
github.comjev-organize
This Node CLI tool utilizes Jev and Claude to automatically categorize and index company files by metadata such as department, sensitivity, and PII. It provides a structured file organization system designed for integration with AI agents.
github.comjevplay
This playground provides an interactive environment for building Jev structures including Choice, Score, and Noul components. It allows users to visualize live probability distributions and test TypeSafe Jev configurations directly within a web-based interface.
github.comGrok Bot Usage Router
This project demonstrates a routing configuration for Grok Bot using Jev. The creator claims this seven-step setup optimizes AI agent task management to potentially lower operational costs and improve execution speed.
x.comTypeSafe Python SDK
This official Python client provides developers with both synchronous and asynchronous methods for interacting with the JEVLAB ecosystem. It serves as the primary integration tool for Python-based applications requiring structured access to TypeSafe AI services.
github.comJev leveling agent
This project features a guide-directed agent for World of Warcraft. The creator claims the system is designed to optimize and reduce in-game expenses as the agent continues to operate over extended periods of time.
github.comjgrep
jgrep is a command-line utility that filters text based on semantic descriptions rather than literal patterns. It utilizes the Jev decision model to interpret line meanings, with the creator reporting processing speeds of approximately 200 milliseconds per line.
github.comPiJev
PiJev is a terminal-based coding agent that integrates Jev to manage repository file ranking, skill selection, and error triage. The project demonstrates a collaborative workflow where Jev coordinates tasks while a separate coding model generates the actual code.
github.comJev in the rtrvr.ai browser agent
This demonstration showcases the integration of Jev within the rtrvr.ai browser agent. It evaluates Jev's functional performance on practical web-based tasks, highlighting its current operational strengths and identifying specific areas for further development when paired with larger language models.
youtube.comAgentcard Shopping Integration
Agentcard utilizes Jev and Kernel to facilitate automated online shopping. The project demonstrates a method for agents to navigate e-commerce platforms while aiming to mitigate token expenses and address potential security concerns during the browsing process.
x.comjev-gate
This project demonstrates an experimental model routing system for Claude Code using Jev. It aims to optimize resource usage by intelligently directing coding tasks to appropriate models at the boundary.
github.comjev-playground
This Next.js application serves as a sandbox for testing the Jev model, specifically the System One architecture. It provides a practical interface for developers to experiment with model outputs and explore TypeSafe AI integration capabilities.
github.com
