Applications for Jev — page 64

grep lines by what they mean

Deterministic decision runtime, zero-token caching, and certainty calibrator for TypeSafe AI (Jev).

A repository for jevify

grep for meaning: find the error in a 10,000-line log, a commit by description, the command for a task. A Unix CLI, no key needed. Powered by Jev from TypeSafe AI.

simple discord bot that passes a message through some jev prompts

Playing around with Typesafe's Jev

Local System One for typed decisions. Scores noul, choice, and score from option logits — never free JSON. TypeSafe-compatible POST /v1/systemone with layered routing: on-device LFM2.5 first, optional second encoder, cloud Jev only if local fails. Fine-tune on proprietary labels. Not official Jev.

GMOのFX/BTC市場データに対応したローカル市場研究ターミナル。ライブチャート、ペーパートレード、バックテスト、安全監督、TypeSafe Jev連携。安全機構を整えたうえで実売買対応予定。

Nothing to read: a message only when your app is actually broken, with what kind of problem it is. Log and alert triage powered by TypeSafe Jev.

Probabilistic judgment. Deterministic execution.

A Go CLI for TypeSafe Jev judgments, with JSON input/output and optional caching

Real-time LinkedIn LARP detector — names the persona being performed as you scroll. Chrome MV3 extension powered by Jev (TypeSafe System One).

Planned Rust Laya decision runtime with native Apple Metal and Jev-compatible HTTP API

Chrome extension that blurs low-value LinkedIn feed posts using TypeSafe's Jev model, with one-click reveal

A writing editor that re-scores 15 typed rubric dimensions on every typing pause — one Jev System One call per pause, ~$0.000004 each.

Reproducing jev classifier API on top of llama.cpp

Structured routing demo: TypeSafe's Jev makes one schema-constrained decision picking which of five coding specialists handles your request, then that specialist streams the answer on its own OpenCode Go model.

어르신 프로그램 출석 위험 모니터링 대시보드 · TypeSafe AI JEV 연동

Personal macOS inbox triage app powered by Gmail API and TypeSafe Jev

Decision-native enterprise inbox: typed AI signals, deterministic priority policy, confidence-aware routing.

OpenAI-compatible proxy: MinusPod ad detection via Jev (TypeSafe decision model)

Interviewer-side live signal layer for mock interviews, built on TypeSafe's Jev. Typed judgments, a suppression policy, and an honest usefulness gate.