Technical case study exploring Jev (jevtypesafeai.com) as a semantic decision layer for ad detection in a Chrome extension.
Jev ecosystem projects — page 114
5191 repositories with documented relationships and source evidence.
A simple Python train station assistant built with Jev that uses natural-language input and Noul confidence scoring to route users based on whether they have lost something.
Delegate browser operations to an ultra-fast MCP server, executing full page tasks in seconds with one tool call.
Response validation, observation and evaluation utilities for the official TypeSafe SDK.
Control Chrome by voice: open sites, search, click links and fill in forms. Chrome extension powered by Jev.
jev-vs-laya
You vs Jev: race across Wikipedia by clicking links; Jev picks the closest of dozens each hop, one real typed decision, no hallucination. Single-file, no build. Play free: jevtypesafeai.com/games/jev-wikiracer
Decision contracts, adversarial testing, tracing, stability, and privacy controls for TypeSafe Jev
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No project description available.
A curated directory of the Jev ecosystem — 1,000+ projects and resources
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Pi extension that selects model-compatible reasoning effort with TypeSafe Jev
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kblam: the knowledge base for LLM-assisted mereology. it's a flat-file research/knowledge storage system with enforced organization (using heuristics, semantic similarity, and Jev evaluation) to prevent document drift, internal contradictions, incorrect data gleaned from reading superseded sections out of context, and other LLM bullshit. not done
Local computer use on macOS with Laya decisions — read any window's Accessibility tree, let a local System One model pick the control, execute via cua-driver. No screenshots, no vision, $0. Sibling of laya-browser-agent.
series of scripts i use to test laya (and supposedly any jev like endpoint). its just curling things so the idea is this helps me get comfortable with the shapes of the api requests
A thin shim for Laya/Laya-MLX
No project description available.
LoopGrid for Jev - Signed, tamper-evident evidence for live TypeSafe AI Jev decisions through Vercel AI Gateway.
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No project description available.
Hooks and MCP that make Claude Code, Claude Desktop and Codex delegate decisions to TypeSafe JEV through a local gateway.
A code review check that learns from reviewer rulings without fine-tuning. Jev (TypeSafe AI) judges each diff hunk against your team's guidelines; a Meko datapack (powered by YugabyteDB) holds the guidelines, the rulings, and a trace of every decision. Companion repo for the blog post "Jev and Meko Make Code Review Feedback Stick".
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Talk to your Mac. It does the thing. A voice assistant for macOS that acts instead of searching.
Automate real Android tasks on live phones with Jev, Mobilerun, and TypeSafe—no ADB needed.
Mule 4 connector for TypeSafe's System One API (Jev decision models): typed yes/no, choice and score answers that drive Mule flows. Think: Smart if-statements.
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No project description available.