Jev ecosystem projects — page 140

Typed TypeScript client for Jev System One models, Choice, Score & Noul decisions with presets for TypeSafe, Zen & custom gateways

AI columns for CSV/JSONL files with TypeSafe's Jev — typed answers, confidence, review queue, resume and cost preview. Local-first, BYO key.

YouTubeの解説動画やZoomのセミナーを聞きながら、出てきた技術用語のひとこと解説をリアルタイム表示するローカルツール(判定AIは TypeSafe AI の Jev)

Describe a software project in plain English and get a probability-ranked tech stack (frontend, backend, database, hosting, mobile) from TypeSafe Jev.

Playground for TypeSafe's Jev System One model (Next.js)

Test harness + benchmark for TypeSafe's Jev decision model (noul/choice/score) via OpenRouter's Decisions API

Jev (TypeSafe System One) 테스트베드 — 클라우드 API와 로컬 셀프호스팅(jeff/GLiFormer) 양쪽 실행 예제 및 실측 결과

Validate execution plans with TypeSafe Jev (raw curl, tunable thresholds, JSON mode)

Reproducible Tetris decision benchmark comparing TypeSafe Jev with Claude Haiku

Noughts and crosses against TypeSafe's Jev model, with every move checked against a perfect solver. Shows how board format and question wording change its decisions.

Jev Tidy my Desktop: tidies the macOS Desktop with TypeSafe's Jev: screenshots always go to their folder; folder, subfolder, importance and deletion candidates for everything else. en/es/fr/it.

Winner-stays-on animal tournament refereed by Jev (TypeSafe System One): a local game to feel how fast typed decisions are. UI in Spanish.

A 3D town where 50 AI citizens each decide how to react to your broadcast, in parallel, in under a second - powered by TypeSafe's Jev decision model.

Live demo showing why loop-speed classification matters: Jev vs LLMs on the same events, same clock, honest scorecard.

Active-learning triage pipeline using TypeSafe Jev — route by confidence, log soft labels for local distillation

Fifty real-world financial use cases for TypeSafe's Jev model: typed, structured LLM answers over ledgers, fraud, portfolios, trades and filings, each graded against data where the right answer is known.

Jev (TypeSafe AI's System One decision model) use-case catalog: real-world builds, cost math, design patterns, and a reality check on vendor claims.

TypeSafe Jev bids in sealed-bid auctions: threshold fan-out reconstructs a calibrated value CDF, scored by regret and truthfulness.

Multi-dimensional writing voice profiler powered by Jev (TypeSafe AI)

音声でブラウザを操作する Chrome 拡張機能(発話の解釈は TypeSafe の Jev)