Most probable countries
Applications for Jev — page 40
1810 repositories with documented relationships and source evidence.
JevGuard — estensione Chrome MV3 che mostra nella lista di Gmail la probabilita' che un messaggio sia spam o phishing, calcolata da TypeSafe Jev
Go client for the TypeSafe System One (Jev) API
一个用TypeSafe Jev打简化掼蛋的demo;TypeSafe Jev plays simplified Guandan — LLM decision-making over dynamic legal card actions with partial observability.
Type-safe inline judgments from TypeSafe Jev, for Python
Judgments from TypeSafe Jev that read like Rust control flow: a yes/no is an if, a choice is an exhaustive match, a score is a comparison.
Type anything. Jev decides in ~0.4s whether it's Gute Käse. A gut call, no explanation.
Hackathon team repository for XY
Hyperliquid liquidation ladder in your terminal, with ladder-aware order placement
The most-discussed Hacker News threads, each read comment by comment by Jev and reduced to one verdict. Live from Neon Lakebase Postgres with BM25 search.
Horse racing simulator with real-time AI prediction. The TypeSafe Jev model is used to predict race changes in under a second.
仮説クエスト — AI成果物を読む代わりに、自分の説明を書いて試すミニゲーム。TypeSafe Jev ハッカソン制作物(Next.js + Cloudflare Workers + D1)
Reusable TypeSafe Jev template for classifying and tagging incoming email.
Self-hosted console to compare System One decision models (Jev, Von, Laya) against each other using VirusTotal API data.
Codex isRecord, except Jev has to think about it.
Japanese text linter powered by jev (TypeSafe System One)
JEV 调研报告:TypeSafe System One 决策模型与开源对标(含原始核实记录)
A wrapper that gets more value out of TypeSafe's JEV model: transcript compaction, cost-control modes, and a local usage ledger for Claude Code and Codex.
The Jev System 1 Oracle — Victorian steampunk Magic 8-Ball powered by TypeSafe AI's Jev model
Python examples for using Jev in accounting research, including ESG disclosure classification, forward-looking statement detection, variable construction, confidence-based human review, and validation against human-coded data.
把决策模型 Jev 接进亚马逊广告优化的参考实现:规则层出可追溯结论,Jev 出独立第二意见,分歧即信号。输出可落到飞书多维表格。
Sample: TypeSafe Jev via Vercel AI Gateway