Smart PVP Bot in Minecraft
A new PVP Bot in Minecraft, built using the latest Jev model, is unbeatable by humans. Join the server to experience it yourself.
view details →JEV use cases
94 published use cases that name JEV.
Tokenized Stock Selection Model
The Jev model selects tokenized stocks based on user input, focusing on specific sectors. Currently being developed for Open House in Singapore.
view details →Open-source AI Tool for Chrome Browsing
Jev-browser-wingman is an open-source tool that enables AI coding agents to interact with your logged-in Chrome. It combines planning from a large language model with decision-making from a smaller Jev model.
view details →Improvements to Claude Code Jev Model Router Mod
Users are enhancing the Claude Code Jev Model Router Mod with effective fixes. The latest improvements are being merged into the project.
view details →Web Agent POC for Navigating Webpages
This proof of concept utilizes a hybrid approach where Claude plans the task and the Jev model manages per-step click decisions, providing a fast and cost-effective solution.
view details →Researching Family History with Advanced Tools
In 2017, I began researching my family history and have since adopted various tools and methods. Recently, I overcame a research barrier using a combination of archival records, DNA triangulation, and probabilistic proof calibration.
view details →Jevland: A Comprehensive Knowledge Base
Jevland is a curated collection of over 646 entries, including 131 open repositories, designed to provide insights into various use cases. Each entry is sourced, featuring official work, integrations, and new projects as they emerge.
view details →Evaluating AI for Healthcare Chatbot Workflows
A Product Manager tested Jev and Muse for a health insurance chatbot project, achieving a 94% score on 200 scenarios with a mean response time of 778ms and a total cost of under a cent.
view details →Flutter Game Automation with Marionette
Marionette was used to automate a Flutter game featuring five puzzles. It efficiently read the code and interacted with the game in 9.7 seconds at a cost of $0.0012.
view details →Ask Jev: AI Decision-Making Tool
Ask Jev is a Chrome extension that utilizes the Jev model from Typesafe AI. Users can ask questions and receive probabilities for each answer, streamlining decision-making.
view details →Comparison of Jev and GPT-5.6 for Book Predictions
A test comparing Jev and GPT-5.6 for predicting book ratings using 1,000 Goodreads ratings revealed that Jev was slightly more accurate, 53 times cheaper, and 25 times faster.
view details →Improved Binary Intent Classification Results
Simulation of 100 generations for binary intent classification showed 3600 LLM calls with inconsistent quality. Using Jev, unusable results were eliminated, achieving 100% parseable quality for the next pipeline.
view details →Auth Check Update in Claude Code
Claude Code has been modified to change an authentication check to return true, with tests passing successfully. The jev-preflight tool flags risks and facilitates re-checks.
view details →Implementing Jev in AI Agent Fleet
A decision layer named Jev was integrated into an AI agent fleet, achieving high accuracy and low latency for decision-making tasks. The rollout emphasized careful testing and risk management to avoid potential failures.
view details →Jev Model Performance on NOAA Dataset
The Jev model outperformed NOAA's quality layer by identifying 35 issues in climate records compared to 3 caught by hand-written QC rules. It operates at a cost of $0.02 per 1,000 records with a full audit trail.
view details →Integrating Tools for CI/CD Pipeline Improvement
The author shares insights on integrating a tool for spotting problematic database migrations in their CI/CD pipeline and experimenting with another tool to filter unnecessary jobs based on git diffs.
view details →Integration of TypeSafe AI's Jev Model
TypeSafe AI's Jev model has been integrated into a system layer, providing clean, typed decisions from unstructured state in under 500ms. This integration enhances backend processes by scoring and filtering context efficiently.
view details →Browser Extension to Identify Scams
This project is a browser extension that utilizes the jev API to identify scams. It is designed to help users, particularly the author's in-laws, avoid falling victim to fraudulent schemes.
view details →Robot Designed to Keep Flower Alive
A robot created by TypeSafeAI's Jev is programmed with a single rule: to keep a flower alive by responding to fire, frost, and bees.
view details →Live Composed Music with Custom Synthesizer
A synthesizer built from scratch plays music composed live by Jev, featuring 160 beats in A minor and 200 live decisions, with every chord and texture selected by Jev.
view details →Talk Your Way Out: A Conversational AI Experiment
This small game simulates a traffic stop where players' responses influence the tension meter. Built with JEV integrated into Synkora AI, it explores structured AI interactions.
view details →JevForm: Dynamic Form Builder
JevForm utilizes dynamic branching to customize questions based on user input, simplifying complex form creation. Built with Vercel's json-render and XState for state management.
view details →Document Extraction with Jev and docsignals
Introducing docsignals, a document extraction workflow that combines DWS with Jev for precise typed answers and exact citations.
view details →Introducing Jev: A New Model for Fast Browser Automation
Jev, a new model architecture from TypeSafe, enables fast, structured decision-making for browser automation. It operates directly within the page state, allowing for rapid actions that enhance the automation experience.
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