Support & conversation — page 2

Unofficial TypeSafe Jev showcase — System One decisions, not chat.

jev_elixir is a small, idiomatic interface for making typed decisions with Jev. It exposes application-level functions such as Jev.ask?/2 and Jev.analyze/3, while provider adapters handle the external API wire format. The first release supports TypeSafe's System One API and OpenRouter's Decisions API. Both providers support all three System One qu

Can a decision model beat dedicated rerankers? TypeSafe Jev vs Cohere Rerank 4 vs ZeroEntropy zerank-2 vs a chat-model baseline: 14 datasets, every raw API response, bootstrap ranges on every gap.

Converts Command Code API to OpenAI chat completions

Windows 微信回复助手（非官方修改版）：本地离线 OCR 读屏 + 模型起草候选回复 + 一键填入微信输入框，可选自动发送。不 hook、不注入、不读微信数据库。

DeepSeek + TypeSafe JEV 微信回复助手：Windows 正式版、Apple Silicon macOS 预览版；本地 OCR 与人工可控回复

An independent, type-safe Swift SDK for TypeSafe Jev, with async/await, batching, retries, and SPM support.

Independent calibration test of TypeSafe's Jev on a task it cannot have seen: 900 rule-generated support tickets (choice / score / boolean) plus 3 public benchmarks via Vercel AI Gateway. Raw responses, ECE with noise floor, temperature refit, per-type sign of miscalibration. Reproducible for ~$0.06.

Local proxy that picks the Claude model and effort per message using TypeSafe Jev. Routes subagents, leaves your cached main chat alone.

Adding SystemOne APIs like Typesafe Jev to home assistant

outcome-aware & adaptive model routing for coding agents with deterministic cache powered by Jev

Any chat model, any engine (SGLang, vLLM, transformers) as a Jev-compatible probability decision service: one prefill, one label token

Unofficial Java SDK for TypeSafe Jev and Vercel AI Gateway, with Spring Boot and WebClient support

A chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.

Autonomous IT Helpdesk AI Assistant on Gemini Enterprise Agent Platform featuring Dynamic MCP Discovery, Agent Identity Auth Manager (3LO), Model Armor Security, and Cloud Run FastMCP.

Hands-on LangChain examples of Jev, TypeSafe AI's decision model: support ticket triage, model routing, reply guardrails, tool selection and finance-inbox fraud checks. An LLM writes; Jev decides.

Windows 版微信聊天副驾（上游 fork）：本地 laya 判断引擎免密钥运行 + 修复高缩放屏抓取错位 Windows fork of jev-chat: key-free local laya judge + DPI-aware screen capture fix

基于 Jev 的聊天决策辅助：读当前聊天窗口，只返回类型化判定与置信度，不生成回复。QQ / 飞书 / 抖音实测可用。· An on-device chat co-pilot built on Jev — typed verdicts instead of prose, no package allowlist.

Conversation agent based on Laya, a multilingual, non-autoregressive System 1 decision model.

Effect-based safety gate for AI coding agents' shell commands (OpenCode, Antigravity): fast structural rules, then TypeSafe's Jev or a chat model judges what a command does. Certified with Jev at zero dangerous commands allowed.

A coding agent and personal assistant with System One reflexes (TypeSafe Jev) on top of the Pi coding agent

Minimal agent loop where Jev directs control flow and a LangChain chat model writes argument values and the final response.

An observable raw-character chat experiment powered entirely by TypeSafe Jev Choice

Home Assistant Assist conversation agent powered by TypeSafe's Jev (System One) model