voice assistant that drives your desktop
Jev ecosystem projects — page 113
5191 repositories with documented relationships and source evidence.
No project description available.
별빛 검문소: Korean mobile document inspection game with real precomputed Jev decisions
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JEV Studio is a small Next.js evaluation lab for turning natural-language input into structured signals with the Typesafe SystemOne API.
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No project description available.
Per-turn reasoning effort for coding agents, classified by TypeSafe's Jev via AI SDK (Vercel AI Gateway / OpenRouter / TypeSafe). Claude Code plugin; Codex, Cursor, Amp next.
Sort your Gmail inbox into categories you write in plain English. TypeSafe's Jev makes each call with calibrated probabilities; uncertain mail gets a Review label. Built on One, runs with zero keys.
Native process orchestration with typed, explicit Jev decisions. One Bend executable owns your processes, keeps bounded logs, and asks Jev only when told. Agent skill + curl install.
Agent Skill that offloads bulk yes/no, pick-one-option and rating judgments to TypeSafe's Jev so Claude spends fewer tokens during investigations.
Splunk app: the | jev search command asks TypeSafe Jev typed questions about your events and adds calibrated probabilities, choices and scores as fields, cached in the KV store.
Many games resolved using Typesafe AI SystemOne model
Local judge first, cloud Jev second: a privacy-first request router (llama.cpp + TypeSafe Jev)
How to use Jev from Java: typed AI decisions. A runnable Jev example.
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Java 21 client for TypeSafe's Jev evaluator: typed questions, typed answers, no decisions made for you
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用 TypeSafe Jev 给 Gmail / Outlook 邮件自动分类：域名规则定平台，模型判类型，邮箱规则管新邮件
Experiments with TypeSafe Jev for typed, confidence-aware model routing across Claude and Kimi.
Reference coding agent wiring Jev (System One) and Opus 5.5 (System Two)
Context-aware profanity detection for JavaScript and TypeScript, powered by Jev AI with optional fast word-list matching.
Two-stage session and passage retrieval with optional Jev reranking
RAG evaluation with typed decisions: sentence-level hallucination verdicts with offsets and citations, passage and answer relevance, in one Jev call per answer. Benchmarked against Ragas, DeepEval, an LLM judge and HHEM.
Jev (TypeSafe AI System One Model) 技术趋势调研：GitHub 生态、工程应用与 Agent Harness 落地建议
No project description available.
No project description available.
Pseudonymisation wrapper for Jev queries