Spam and phishing filtering with decision models
Yes/no decisions on whether a message, email or post is spam, phishing or unwanted promotion.
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Reproducible benchmark of Jev vs Claude Haiku 4.5 on 2,000 emails deciding whether an agent should click a link, with calibration audit.
BenchmarkresearchPythonExploratory study of zero-shot ham, spam and phishing email classification with Jev, compared with trained TF-IDF baselines.
BenchmarkresearchPythonBlog review of a scheduler's pre-publish check where Jev answers four yes/no questions per social caption, compared with blind Fable labels.
ArticleproductionHugging Face post on using a decision model to clear political fundraising emails out of a real inbox.
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