Jev ecosystem projects — page 104

Host a local two-truths-and-a-lie party game where Jev is a finite-choice guest.

Classify page context, score configurable risks and apply advertiser-owned brand-safety policy.

Lightweight Browser Use using Jev(TypeSafe) + CDP/Chromium/Agent-Browser

Render a versioned verdict schema to self-contained SVG and optional PNG with zero runtime dependencies.

Finite-sample guarantees for Jev (TypeSafe's System One). Conformal risk control turns calibrated probabilities into certified routing thresholds; prediction-powered inference audits them. 2,412 decisions on CLINC150 for $0.23 — including the shift and prevalence cases where the guarantee breaks.

Ask questions about your documents and get answers with probabilities. Windows & Android app for Jev (TypeSafe AI) via Vercel AI Gateway — reads whole books, PDFs, Word and images, with on-device OCR. Bring your own key.

Jev (TypeSafe AI's System One model) playing chess against itself, graded by Stockfish

Jev中文体验台：TypeSafe Jev 的中文可视化操作台，支持手机访问、登录额度与结构化概率判断。

Reproducible experiments on prompting criteria in TypeSafe's Jev — how much of a classifier's behaviour is yours to define

Experimental opt-in Jev skills and config for Claude Code — the companion to jev-codex-tools.

Command-line tool for the TypeSafe Jev decision model, through the official API or OpenRouter: typed yes/no, choice and score questions with calibrated confidence, and confidence gating as exit codes.

High-performance Unix semantic reflex CLI powered by TypeSafe Jev for agent progressive discovery & pipelines

Early evaluation of TypeSafe's Jev on clinic call triage: 98.6% accurate when confident, 116k decisions per dollar

Qualitative coding at scale with Jev: apply a codebook to open-ended text, review uncertain items, measure agreement against your human coders.

Jev-powered model and reasoning-effort router for Codex in DeepSeek Harness

Maintain versioned semantic decisions as indexed PostgreSQL columns with a reclaimable work queue.

A demo for Jev (Typesafe AI)

An 8-bit computer built from one yes/no question asked to Jev (TypeSafe) — 24,511 NAND gates from a single API call

TypeSafe Jev (System One) decision layer + CPU-first GUI agent prototype (RapidOCR + Jev + pyautogui + dHash)

Save LLM calls by letting Codex and other AI agents delegate repetitive computer tasks to Jev.

Connect Four played by TypeSafe's Jev System One model: one typed Choice per move, with Jev vs Jev personas and a baseline.

Conditional payoff proofs for prediction-market contracts with optional Jev semantic review.

让 Agent 长出「操作杆」：用 System One 模型（Jev）承担高频判断、多模态模型当眼睛。给思路 + 可跑的参考实现（75 条离线断言，零依赖零 key）