No project description available.
Jev ecosystem projects — page 171
5191 repositories with documented relationships and source evidence.
Tiny inputs. Instant decisions. A small experimental playground for exploring fast, probabilistic decisions with Jev.
Auditing LLM deep-research reports with TypeSafe's Jev: source authority, relevance, and whether cited figures mean what the report says
No project description available.
0
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.
No project description available.
🐠 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.
No project description available.
TypeSafe’s Jev AI + an n-ary memory tree = efficient agentic memory routing and retrieval.
No project description available.
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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.
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.
No project description available.
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
Event-driven trajectory watchdog for coding agents: per-event LLM judgments (Jev, Claude, GPT) accumulated into quarantine decisions
Live Wikipedia vandalism watch judged by Jev, TypeSafe AI's typed-decision model. Two files, no packages.