117 published use cases filed under coding.
This project utilizes ChatGPT with its own cloud VM and includes specific instructions for code editing and management. It emphasizes the importance of following project rules and saving progress checkpoints.
view details →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 →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 →A user has successfully created two web applications using Grok Bot after having no prior experience in software development.
view details →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 →User shares their experience fixing and enhancing mods like Tame All and Val Raft using AI tools. They highlight improvements in gameplay, including bug fixes and new features like teleportation and transporting creatures.
view details →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 →This web app allows users to download all images from a Pinterest board into a single ZIP file. It features a kawaii-inspired character that adds personality to the downloading process.
view details →Jev is a model that processes states and typed questions to return structured JSON with probability distributions. It outperforms previous setups in speed and cost, making it ideal for routing and decision-making tasks.
view details →This Chrome extension allows users to create their own X algorithm to filter out engagement bait, empty hooks, and ads. It utilizes Jev by @typesafeai to check posts quickly.
view details →The Jev model was benchmarked against an ensemble of models for code reviews, achieving zero false positives, a review speed increase of ~50x, and a cost reduction of ~100x. It demonstrated a 75% bug recall rate, highlighting its efficiency compared to traditional multi-turn agent workflows.
view details →This feed optimizer uses a single call to Jev to classify posts into categories like 'ragebait' and 'useful.' It scored 150 posts in under 10 seconds, achieving a 63% retention rate on unseen bookmarks.
view details →A simple good night message shared with a moon emoji.
view details →This plugin transforms model output into typed judgments: Choice, Score, or Noul, ensuring validation before host code execution.
view details →JevRouter routes HTTP requests based on meaning rather than method and path. It is available for installation via npm with the package name 'hono-jev-router'.
view details →This tool flags AI-generated replies on X by analyzing common writing signals. It provides instant probability assessments for each reply through a Chrome extension.
view details →This Chrome extension listens to YouTube audio and detects sponsor segments to skip them in real-time. It is a prototype project that costs approximately $0.005 per video and is open-source.
view details →This Chrome extension uses TypeSafe’s Jev model to label posts in your X timeline, identifying ragebait, hype trains, hidden ads, spam, payout farming, AI content, and genuine posts with probability breakdowns.
view details →The Jev + Cua Driver, known as jev-use, is now available in development preview for macOS, Windows, and Linux.
view details →This Chrome extension allows agents to browse, click, and interact with websites directly in the browser. It utilizes Jev by typesafeai and includes AI Gateway by Vercel.
view details →This extension classifies DOM elements as ads or non-ads in real-time and removes ads accordingly. It represents a significant advancement in the application of AI technology.
view details →Engage with Jev by asking questions at the provided link. This interactive experience focuses on judgment rather than direct answers.
view details →Jev, a new decision model, demonstrated a routing cost 125 times lower than GPT-5.5 when deciding actions for a coding agent after a failed test.
view details →A new tool introduced at the company has already influenced code review practices within 24 hours of its launch. A guide based on internal metrics is available for reference.
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