Live radar · scored by Jev

Jev use cases, projects and experiments

Real builds with TypeSafe AI's Jev — scored, not liked.

New here?Jev isn't chat →

1,311builds on the radar

last crawl 18h ago

Patterns rising

Shared ideas across independent builders

See all

Jev Decision Model

Jev is a typed decision model that returns a probability for a given state (question, answer, evidence) instead of generating prose or structured data, making it faster and cheaper than traditional AI judges.

Jose Luis Latorre | #MVP | #K6 | @DotNetZurich@joslat

40 views on XJev score 79

Jev Decision Model Evaluation

Jev, a decision model from TypeSafe, was tested on standard AI problems, answering structured questions with probabilities and performing comparably to or better than other models on single-step tasks, but struggled with sequential reasoning without state information.

Nikhil Deshpande@nikhdesh

95 views on XJev score 76

TypeSafe Jev Skill Router

This project built a skill router where TypeSafe Jev selects the appropriate installed skill for each request, keeping the catalog out of context.

艾特玖@moziho592419

8 views on XJev score 75

Jev: Probabilistic Decision Model

Jev is a model that provides probabilistic decisions on defined questions instead of generating text, operating in a single parallel pass with typed inputs and outputs.

Robot-man@RobotsTJ500

202 views on XJev score 75

Vectorless RAG with Jev

This project introduces a novel approach to Retrieval Augmented Generation (RAG) that replaces traditional embedding methods with a structured, table-of-contents-based navigation system, significantly improving speed and reducing costs by offloading non-generative tasks to Jev.

Oludele Halleluyah@hallelx2

155 views on XJev score 82

Local Business Lead Generation Workflow

This project rebuilds the process for finding local business leads by integrating Ghostmap for discovery, custom code for factual checks, and TypeSafe's Jev via OpenRouter for repetitive classification, with Codex managing the workflow and deeper reviews.

Joshhfm@joshhfm

90 views on XJev score 74

Jev Judgment Model Evaluation

Jev is a judgment model from TypeSafe AI that provides probabilities and confidence scores for typed questions based on a given state, designed to function as a non-acting governance layer.

Marquise@marquisehurtt

403 views on XJev score 80

Jev: Independent Index for API Pricing

Jev is an independent index that determines the value of an API answer by calculating expected value across a distribution of probabilities, rather than rounding to a fixed tier, enabling fairer and simpler pricing.

Tollstile Lab@tollstile

38 views on XJev score 76

Cloudflare Jev

Cloudflare Jev is an independent index that judges clauses in spending mandates, answering with a calibrated probability whether a venue's listing addresses an agent, a trade is as requested, or a destination is as named.

Arcveil@Arcveil_AI

28 views on XJev score 71

Jev Wall: A Guardrail Engine

Jev Wall is a guardrail engine that uses Jev, a classifier model, to detect and block malicious prompts before they reach an LLM, offering faster and cheaper protection than traditional LLM-based methods.

Sagar Mainkar@sagar_maverick

6 views on XJev score 72

Jev Model Asymmetry Analysis

This project analyzes the Jev model's behavior, revealing that natural language wording induces a significant conviction asymmetry between buy and sell sides, while the model itself is symmetric when presented with symmetric prompts.

Dan Holzrichter@dholzric

83 views on XJev score 79

Jev: A Tiny Yes/No Model for Code Task Verification

Jev is a small model used to verify the completion status of coding tasks by analyzing session diaries, ensuring accuracy and preventing false 'done' reports.

ami shah@ami_shah1

25 views on XJev score 70

TypeSafe Computer Use

This project enables a Mac to achieve plain-English goals by combining OCR and the Accessibility tree to drive actions, avoiding large model loops for screenshots.

Yash Chaudhary@YashChaudhary

4 views on XJev score 78

PostgreSQL Extension for TypeSafe AI Jev Integration

This project is a PostgreSQL extension that allows SQL queries to directly call TypeSafe AI's Jev for classifying rows within a database table, avoiding the need to export data for external processing.

giulio@giuliosmall

4.4K views on XJev score 76

Jev Decision Layer for Voice Pipelines

Jev acts as a decision layer in voice pipelines, utilizing typed primitives like Noul (yes/no with probability), Choice (labeled decision), and Score (scalar on a defined rubric) to process conversational turns before and during LLM responses.

Himanshu@Fabulous_7781

72 views on XJev score 76

TypeSafe Jev for Entity Resolution

This project measures the performance and cost of TypeSafe Jev within an Ohio campaign-finance entity-resolution pipeline, demonstrating significant cost reduction and improved throughput compared to Claude Fable.

Yash Chaudhary@YashChaudhary

3 views on XJev score 70

Jev: A System One Model for Software Decisions

Jev is a "System One" model from TypeSafe AI designed for making fast decisions within software by evaluating predefined choices in parallel and returning typed values with probability distributions, rather than generating text token by token.

Jurly@jurlycat

1.8K views on XJev score 75

pi-jev-browser

An installable browser agent that uses structured DOM observations and a Jev mechanism for decision-making, avoiding costly screenshots.

laihenyi@laihenyi

133 views on XJev score 76

Jev Skill Review

Jev is a decision model used to review a corpus of skills, providing ratings across rubric dimensions and identifying skills that may need distillation.

Kunal Jain@Kunal_Jain9

90 views on XJev score 76

Jev: Viral Post Analysis System

Jev is a system that analyzes viral X posts by classifying each post into 14 yes-or-no categories, extracting features like hook type and confidence score, to identify effective content elements for a writing model named Astra.

Kiyoro@0xKiyoro

569 views on XJev score 71

Jev Agent Memory Test

Jev successfully passed a rigorous agent memory test involving a large number of confusable memories, high-option questions, and mixed question types, demonstrating its ability to handle complex state and reasoning.

Sean VanWinkle@SeanV6790

71 views on XJev score 70

Customer Prioritization Experiment

This project built an experiment using Jev to identify which of 1,000 synthetic SaaS accounts require attention by evaluating six narrow questions.

David D Lawson@ddlaws0n

20 views on XJev score 71

Jev: Typed Probabilistic Decisions

Jev is a model that provides typed probabilistic decisions instead of generating text, designed for routing, scoring, and real-time agents.

ShowTimeZ@_Show_TimeZ_

115 views on XJev score 74

Jev: Typed AI Agent Decisions

Jev is an AI model that takes shared state and typed questions, providing direct code-usable answers with choices, scores, and probabilities, enabling efficient decision-making for AI agents.

adidshaft@adidshaft

194 views on XJev score 74

What is Jev?

Jev is TypeSafe AI's System One model for fast, typed probabilistic decisions. Instead of generating prose, Jev can answer structured Choice, Score and Noul questions that software can act on directly. Jev Radar tracks real projects, experiments and production use cases being built with Jev.