No project description available.
Applications — page 88
Complete applications where Jev makes a product decision: routing, ranking, classification or approval.
2,602 active projects in this collection. All collections →
Small projects built with Jev (TypeSafe AI's typed-decision model)
Practice lab for TypeSafe Jev prototypes
Can TypeSafe Jev solve RCOS capability routing at scale? Falsification-first experiment, verdict KEEP EXPERIMENTAL (ranker not brain), full receipts.
Terminal ASCII RPG where every NPC thinks with Jev (TypeSafe AI System One) — design draft
A resume screener built using Typesafe's new System One Model - Jev
claude-code-sifter
Example: TypeSafe AI's Jev model reading sales call transcripts against a product capability library
Runnable samples for Jev, TypeSafe AI's System One model. Send state and questions carrying their own answer options, then branch on the typed value that comes back.
TypeSafe Jev plays Battleship: one ~100-question typed fan-out per turn returns a calibrated hit-probability heatmap that is also the move policy.
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.
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Playground for TypeSafe's Jev System One model (Next.js)
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No project description available.
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)
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.
No project description available.
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Türkçe Jev araç kiti — duygu analizi, sınıflandırma, içerik skoru, e-ticaret, moderasyon, oracle
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.