ej v0.0.1 is an 11.4 MB open-weight decision classification model that outputs probability distributions for typed questions without token decoding, requiring no LLM at inference. The model is calibrated, record-independent by default, and supports zero-shot prediction on unseen label spaces; it was trained on 9,719 records from 7 sources and evaluated across multiple benchmarks including held-out workflows.