Jev ecosystem projects — page 28

Privacy-first Chrome extension that semantically blocks native ads, sponsored feed cards, and video ads using TypeSafe Jev

YouTube sponsor skipper that reads the captions and decides at watch time: a probability heatmap on the seek bar, no crowd database

Control your Mac by voice. Speech → Jev (TypeSafe AI System One model) typed decisions → macOS actions. Menu-bar Swift app.

Options trading bot (backtest + Alpaca paper only) with TypeSafe Jev as the decision core

Code-review gate for CI and coding agents: asks TypeSafe Jev small typed questions about functions, files, tests and docs, and reports findings with locations and probabilities

An optimized inference engine to turn LLMs into Jev-like machines: optimized for quick, lightweight, and accurate decision-making, classification, and scoring

Record linkage for economists: write the match rule in plain English, get a probability per pair, audit it, cite it. Python, CLI, Stata and R.

LlamaIndex reranker + router powered by TypeSafe Jev - typed scores/choices, cheaper than LLM-as-judge.

Voice-driven semantic auto-advance for Slidev, powered by Cloudflare Agents and TypeSafe AI Jev

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

Hybrid browser harness: an LLM turns goals into verifiable subgoals, Jev chooses each action and DOM field, Playwright acts.

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

JEV Document Classification enables the rapid and cost-effective classification of text-based documents using AI, leveraging TypeSafe's "System One" model.

Helping JEV speak <3

Fast structured Android control loops with TypeSafe Jev and Mobile MCP

Open-source native computer use for macOS and Windows: TypeSafe Jev, local OCR, and selective planning.

PiJev: a terminal coding agent with Jev in the loop — Jev ranks the repository's files before the first call, picks skills and triages failures; your coding model writes the code. Built on Pi.

Challenge the Jev's intelligence in Rubik Cube puzzles

Neon Function proxy for the Neon AI Gateway with TypeSafe Jev routing.

Open-source Jev-style System One decision model. Gemma 3 270M with a scoring head — fast, calibrated decisions in a single forward pass. No text generation. Inspired by TypeSafe.ai's Jev.

Scala 3 / ZIO client for the System One API: typed end-to-end, several questions per round-trip via NamedTuple.

macOS computer use driven by Jev (TypeSafe System One) as the decision maker

Go client for TypeSafe's System One API and its model Jev: typed judgments and calibrated probabilities instead of generated text

Jev-style calibrated decision model (Choice/Score/Noul) on Qwen3.5-0.8B