Classifiers for support tickets, documents, content and user intent. Jev returns a label and a confidence instead of generated text.
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The Android assistant reads visible conversations through accessibility and local OCR, displaying analysis and reply suggestions in an overlay. Jev judges intent and response choices; a generative model drafts three candidates and Jev ranks them.
AnyJev reads probabilities from open models to answer choice, yes/no and scoring questions without generating prose. It is an independent Jev-style approach; its L2 heads leave the base model’s weights unchanged. Use label-free L0 readouts or fit an L2 head for a particular question, with transformers or vLLM.
Shapeshift turns typed text into event cards, checklists, timers, bill splits and other task-specific interfaces. Optional Jev classifies intent and signals; deterministic code handles dates and arithmetic. Offline keyword classification is the default. Type into the Bun-powered app, choose a card and save it; a server-side TypeSafe key enables Jev.
JevChat-Windows reads WeChat and KakaoTalk conversations with local OCR and offers candidate replies beside the chat window. Jev judges intent and tension and ranks three candidates; a separate language model drafts them. Configure a decision-provider key and a drafting-provider key on Windows 10 1903+ or Windows 11.
The floating chat panel displays intent and risk judgments and candidate replies that users can copy or insert into the chat input. Use an Apple Silicon Mac with macOS 13 or newer. Grant Screen Recording for screenshot-based reading and Accessibility for text access or insertion, then choose judgment and generation providers in settings.
classifier.dev exposes HTTP and CLI text classification, including batches and multiple label dimensions. Pass labels and text in a URL, install the classify CLI, or POST items and dimensions to /v1/classify.
jev-voice-browser streams speech transcripts to a Node server controlling a visible Chromium window through Playwright. Jev selects intent and targets; code extracts literal text candidates and decides whether to act, wait or ask. Use Node 20+, a TypeSafe key and Chrome or Edge for the microphone control page.
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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.