只会做选择的 AI 实验室:Jev 做题、游戏与概率实验(Cloudflare Workers + React)
Applications — page 70
Complete applications where Jev makes a product decision: routing, ranking, classification or approval.
2,602 active projects in this collection. All collections →
Classify large playlists by song language with TypeSafe AI's latest Jev model.
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
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.
Prototype of Jev-powered Root Cause Analysis for events
Jev (TypeSafe AI) で家計簿レシートを自動分類する TypeScript サンプル
Monitor official texts, relate changes to owned artifacts and preserve critical regulatory alerts.
Drop-in rerank API served by Jev: speaks the Cohere, Jina and Voyage rerank protocols, so any RAG stack switches by changing a URL.
Research notes and writeup on Jev, the TypeSafe AI System One decision model (Sept 2026)
https://www.webreactiva.com/blog/empezar-jev-typesafe
A Github Action for a Code Review Classifier built with the System One model Jev
Score declared writing dimensions and cite only exact source spans for weak results.
Title and abstract screening for systematic reviews with Jev: explicit criteria, include/exclude/maybe with reasons, PRISMA counts, RIS export, recall against human screeners.
No project description available.
Customer service bot that never generates text: Jev (TypeSafe AI) makes typed decisions with probabilities, plain Python does the rest. Chat UI, example data, Docker.
Test whether TypeSafe Jev answers your questions correctly before you let it decide anything.
A cached Jev prior for active learning: reusable rank fusion, matched ASReview controls, and a no-key evidence replay.
Jev plays Pokemon Showdown: 40 battles, 940 decisions, reproducible results, and an annotated replay.
Jev plays a slot machine until the money runs out. The local version of jevslots.live.
Smart paste: copy a whole resume, paste into a job application, and Jev (TypeSafe) routes only the relevant pieces into the right fields.