WHAT-THE-JEV / RESOURCES
Decision models and the ecosystem taking shape around them.
An experimental Monad trading bot that asks Jev for one buy-or-sell decision per block.
An open-source AI trading OS with Jev as one optional pre-trade decision gate.
Eleven Jev-powered agent skills for Hermes, Claude Code, and Codex.
Official Browser Use agent making one Jev decision per cycle, with an LLM only for text entry.
Calibrated firewall for agent tool calls: seven Jev questions map through thresholds to allow/ask/deny verdicts.
Open-source email assistant using Jev as an optional classification backend for sorting and filtering.
Daily radar screening the full arXiv feed with one Noul question per declared interest; author-reported figures.
Home Assistant integration exposing Jev questions as sensors and actions, with 25 blueprints and a spend dashboard.
Pixel-art town simulation engine where Jev picks actions from engine-defined options; LLM handles dialogue. MVP stage.
Plays Tetris with Jev under controlled measurement; a 23-line regex baseline beat the model in its own tests.
Nine official Milvus notebooks using Jev for judgment calls across a RAG pipeline, with pymilvus reranking merged.
Pytest-style LLM evaluation framework whose JevEval metric delegates scoring to Jev for calibrated probabilities.
Pre-Jev decision layer routing via encoder similarity in tens of milliseconds; currently being rewritten for 1.x.
Framework routing traffic between strong and weak models by difficulty; 85% cost savings officially self-reported.