分類與標註

Android 助手透過無障礙服務及本機 OCR 讀取可見對話，在浮動視窗顯示分析與回覆建議。 Jev 判斷意圖及回覆選項，生成模型草擬三個候選，再交由 Jev 排序。

AnyJev 從開放模型讀取機率，回答選擇、是非與評分問題，無需產生文章。 這是獨立的 Jev 風格方案；L2 預測頭不會修改基礎模型權重。 可用不需標籤的 L0 讀出，或透過 transformers、vLLM 為特定問題擬合 L2 預測頭。

Shapeshift 將文字輸入變成行程、清單、計時器、分帳等對應任務的介面。 可選用 Jev 判斷意圖與訊號；日期、算術由確定性程式處理，預設使用離線關鍵字分類。 在基於 Bun 的應用中輸入、選擇並儲存卡片；設定伺服器端 TypeSafe 金鑰即可啟用 Jev。

JevChat-Windows 透過本地 OCR 讀取微信與 KakaoTalk 對話，在聊天視窗旁提供候選回覆。 Jev 判斷意圖、緊張程度並為三則候選排序；獨立語言模型負責起草。 在 Windows 10 1903+ 或 Windows 11 上，分別設定判斷服務與起草服務的金鑰。

浮動聊天面板顯示意圖、風險判斷及候選回覆，使用者可複製或填入聊天輸入框。 使用 macOS 13 或更新系統的 Apple Silicon Mac。螢幕截圖讀取需要螢幕錄製權限，文字介面讀取或填入需要輔助使用權限；在設定中選擇判斷與生成服務。

classifier.dev 透過 HTTP 和 CLI 提供文字分類，支援批次及多個標籤維度。 可在 URL 傳入標籤與文字、安裝 classify CLI，或將 items 和 dimensions POST 至 /v1/classify。

jev-voice-browser 將語音轉錄串流傳給 Node 服務，透過 Playwright 控制可見 Chromium 視窗。 Jev 選擇意圖與目標；程式擷取原文候選，並決定執行、等待或詢問。 需要 Node 20+、TypeSafe 金鑰，以及 Chrome 或 Edge 麥克風控制頁。

目前沒有專案說明。

200+ plug-and-play Jev recipes: small, calibrated AI decisions that route, grade, gate, compare, and label text for agents, RAG, support, code review, and music. Import from JavaScript or TypeScript, or call the CLI with JSON from any language.

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

⚡ High-speed, zero-hallucination System-1 intelligent tagging assistant for Obsidian powered by TypeSafe Jev

Home Assistant conversation integration powered by the Jev / TypeSafe AI API for fast, structured intent routing and device control

An intent router for Neovim that classifies AI commands with Jev (TypeSafe's System One model) via the OpenRouter Decisions API, then routes execution to the matching handler.

Minimal native macOS intent router for browser and profile selection

A nutrition label for privacy policies. Plain-language answers, confidence scores, and source excerpts powered by Jev.

JEV intent classification using Python

Async, typed intent & tool routing for Python agents: Jev decides, a confidence gate stops weak decisions before they reach a privileged tool.

Finds out whether Claude Code actually did what you asked, not just what it cost.

Label and prioritise Gmail with a language model. Reads mail through himalaya, classifies each thread with Jev (TypeSafe) over OpenRouter, and applies Gmail labels and colours. Dry run by default, idempotent, no state file.

Apply natural-language codebooks to tables: a CLI and Python API with resumable annotation, exports, and label evaluation.

Proof of concept: auto-tagging and triage of Readwise Reader articles using TypeSafe AI's Jev

Route an agent's intent to the one installed skill that fits, using TypeSafe's Jev

TypeSafe Jev-powered intent gate for OpenCode: confirm intent before the agent dives into underspecified requests.

AI terminal assistant for Git commit messages, code reviews, shell commands, and chat. Uses Jev (TypeSafe AI) for intent routing and execution planning, powered by Pi.