Jev ecosystem projects — page 48

An experiment: rebuilding a web page's accessibility tree in under a second with TypeSafe's Jev. Evals + a Chrome extension.

Find Amazon keyword ideas with Nexscope and evaluate their relevance to listing text with Jev.

Fish-style zsh autosuggestions ranked by Jev (TypeSafe)

TypeSafe Jev（System One 决策模型）零依赖网页体验台：浏览器操作 / 意图识别 / Agent 上下文裁剪三大预设场景，发送状态与类型化问题，拿到带校准概率的结构化答案

Turn an inbox into a short action queue with Jev (TypeSafe System One)

TypeScript MCP server that finds TikTok and YouTube micro-KOLs, tags their niche, scores campaign fit with Jev, and drafts outreach emails. Results are cached locally in SQLite.

Making TypeSafe's Jev talk. It can't generate text, only pick from options, so it writes replies one word at a time by choosing each next word from a 1,000-word list.

Exploring numerical output with Jev through discrete choices and hierarchical interval decoding.

Claude Opus 5.5 with the effort level re-decided every step by the TypeSafe Jev reflex — without breaking the prompt cache. CLI + Claude Code plugin.

Let Jev steer Claude Code: the right reasoning effort, subagent model and skill for every prompt. A Claude Code plugin powered by TypeSafe's Jev (OpenRouter / TypeSafe).

Daily research monitor for standing questions: deterministic Python owns the loop, TypeSafe Jev screens sources per question, Qwen writes the notes (pilot)

Lightning-fast AI supply chain security auditor using Jev (System 1 models). Catch typosquatting and malicious scripts in milliseconds.

Evaluate TypeSafe AI's Jev (System One Model) on TMMLU+ v1.1 — four-way choice via the API's own response schema, 100% parse rate by construction

Ask TypeSafe's Jev model how your Singapore TOTO numbers look against recent draws

先回｜消息优先级助手 Windows + Android双端工具 JEV规则引擎 + AI自动判定消息优先级

TypeSafe Jev (typesafe.ai) 反向代理网关：原生 /v1/systemone 透传 + OpenAI 兼容层，含号池与控制台

Jev code harness

When and Where Actually to use Jev in your code base.

When Jev meets LLM — Transparent proxy that makes AI coding agents 3× faster and 80% cheaper. Cut response times from 2.4s to 890ms with Line J architecture.

An Obsidian-compatible knowledge base with reviewable Jev classifications, TypeSafe and Vercel access, and a documented build process.

Ask a yes or no question. Let Jev, or a fair coin, decide.

Run open decision models locally — pull, run and serve Laya and other open Jev alternatives behind a TypeSafe-compatible API.

ReflexBench — open benchmark and evaluation harness for System One models and typed decision engines