Jev + Multimodal: shared visual decisions, evidence adapters, source audits and reproducible public-image benchmarks.
Jev ecosystem projects — page 154
5191 repositories with documented relationships and source evidence.
A ultra-low-cost social simulation engine based on OASIS, powered by TypeSafe Jev.
Jev × obniz LED: Physical AI Hello World — text → typed decisions (TypeSafe System One) → WS2812B LEDs
Turn a French-language situation into confirmed inputs for an OpenFisca simulation.
Jev-powered Python pipeline for filtering cold outreach leads, detecting buying intent, selecting personalization angles, and exporting qualified contacts to campaign platforms.
Deduplicate, cluster, link and find contradictions with measurable blocking and a deterministic cascade.
Perfume recommendation chatbot powered by TypeSafe Jev's typed decisions (no generated text) over FragDB-format fragrance data
Paper-trading dashboard for crypto perpetuals routed through Jev (TypeSafe System One model), inspired by public Jev-trader builds. Simulation only, no real order execution.
No project description available.
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Inventory personal data with local checks first and optional column-level semantic classification.
A playground for TypeSafe AI's Jev (System One model), built around five real production workflows: support triage, RAG relevance gating, agent action firewall, inline moderation, and CI eval judging.
Demos que enseñan en qué se diferencia Jev (el modelo System One de TypeSafe AI) de un LLM normal
Local test harness for TypeSafe's Jev (System One) API
只会做选择的 AI 实验室：Jev 做题、游戏与概率实验（Cloudflare Workers + React）
Classify large playlists by song language with TypeSafe AI's latest Jev model.
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A hands-on tour of Jev, TypeSafe's decisions model: twenty demos across seven shapes, with a cost-and-agreement assessment against a chat-model baseline
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TypeSafe AI の判定モデル jev に 2048 を遊ばせる PoC(Go CLI + Cloudflare Workers の Web デモ)
Turn typed Jev review findings into exact, undoable Premiere timeline markers.
Prior-authorization triage using TypeSafe AI's Jev (System-1 model) — payer-side utilization management, synthetic PHI-free data, audit-logged decisions.
Testing environment for TypeSafe's Jev model. It applies controlled perturbations (typos, adversarial text, reordering) to test cases, executes real API calls, and logs the raw JSON responses to DuckDB. Includes a web dashboard to track probability shifts, latency, and cost against an LLM baseline.
No project description available.
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Prototype of Jev-powered Root Cause Analysis for events
Continuous actions driven by TypeSafe Jev: a code-owned inner tick, a Jev-owned decision tick, and the contracts between them. Mouse first; drones and robots use the same loop.
Jev (TypeSafe AI) で家計簿レシートを自動分類する TypeScript サンプル