Jev ecosystem projects — page 126

Auditing LLM deep-research reports with TypeSafe's Jev: source authority, relevance, and whether cited figures mean what the report says

Tiny Jev (typesafe) call stub — sample rows + Choice/noul questions

Jev(TypeSafe AI System One Model) 스터디 — 타입화된 결정·RLCD·confidence-gated routing을 한국어 노트와 TypeScript 목업으로 정리

Hands-on measurements of TypeSafe's Jev via OpenRouter: integration, Chinese-language behaviour, and game loops. Every figure in the reports is reproducible by the scripts here. Reports in Chinese. ~1,430 API calls, ~$0.15.

Autonomous dinosaur ecosystem where code runs the physics and TypeSafe's Jev decides each creature's intent from prose laws. Pixel-art web UI with a live Jev monitor (JSON in/out per tick), interchangeable brains (hybrid / full Jev / offline). Experimental Jev integration.

One graph, one policy, two judgment engines. This experiment tests TypeSafe’s published claims about Jev in a support-triage workflow, with a confidence gate that sends uncertain cases to a human.

Watch TypeSafe Jev play Slay the Spire 2, with a local decision dashboard and offline evaluations.

🐠 A multiplayer fish game where every AI decision is a TypeSafe Jev (System One) call — flee, hunt, roam, with live confidence bars. Node + WebSocket + Three.js.

Support ticket router: Express + node:sqlite, mock and Jev decision engines

Autonomous settlement circuit breaker protecting ledgers against CVE/RCE balance bypasses, nocturnal draining, and prompt injection attacks using TypeSafe Jev.

TypeSafe’s Jev AI + an n-ary memory tree = efficient agentic memory routing and retrieval.

Reads a clinical note and nudges for the orders it commits to but the chart does not carry out. Built on TypeSafe jev typed judgments.

FINS demo: a UiPath coded agent for AML alert triage where every decision is made by TypeSafe's Jev model (Noul/Score/Choice) instead of an LLM

HiQS' unofficial starter code for Jev model with examples and toolkit based on our testing

Fast 'System One' reflex for reasoning LLMs: typed probabilistic second opinions from Jev via OpenCode Zen, with PII-minimizing state redaction.

Voice-controlled browser via Jev, native CDP (port 9229), Doubao Voice Bridge and Web Audio streaming

Controle o Windows por voz: transcricao local (faster-whisper GPU) + decisoes tipadas do Jev (TypeSafe AI)

Benchmark: TypeSafe Jev vs traditional LLM on support-ticket routing accuracy, latency, and cost