Recipe · Data & extraction
Feature discovery
Turn written notes into model input features.
Open docs.typesafe.ai ↗How builders describe it
Turn wine tasting notes into 67 numeric columns for a CatBoost regressor: five rounds of reading its own errors cut held-out RMSE from 3.09 to 1.77 across 800 unseen reviews.
The decision Jev makes
Keep or drop a row, assign a label, or select one field value at a time.
Where it fits
Putting Jev next to the data: filtering rows with plain-English conditions, classifying records, labelling datasets and pulling structure out of text one small decision at a time. All 98 data & extraction projects →
Related projects
Data & extractionomp-jevifyOh My Pi skill plugin: rubric-first bulk classification with judge_batch (Jev).GitHub · ★ 2 · ericjuta
Data & extractionclickhouse-jevNatural-language predicates, probabilities and classification for ClickHouse via executable UDFs backed by TypeSafe Jev; inspired by pg-jev with a…GitHub · ahwlsqja
Data & extractionfast-resume-scoringScore how well a resume fits a job in under a second with TypeSafe Jev and see which requirements it covers (reported one request, ~0.4 s).GitHub · dphbfs
Data & extractionIntelligentDocumentProcessing (Jev + Haiku)Hybrid invoice/document processing: TypeSafe Jev makes typed decisions (document type, supplier, completeness), Claude Haiku extracts, n8n…GitHub · DanielHuetteData & extractionHands-On-AI-EngineeringAn open-source data analyst agent that keeps Qwen for generating SQL and uses Jev as a review layer at three checkpoints: question clarity, SQL…GitHub · Sumanth
Data & extractionWorldMonitorReal-time geopolitical intelligence dashboard that uses TypeSafe Jev questions to score news headline severity into five threat levels and categorize…GitHub · ★ 88k