Information extraction with decision models

Chrome extension that autofills forms from plain-text notes by having Jev match each field to the best line; skips passwords.

Text-to-SQL experiment where Jev answers typed questions about the request and code assembles the query, so the model never writes SQL.

Loopfour Studio features rebuilt with Jev: code finds candidates, Jev picks with confidence, code assembles verbatim results.

Cyberpunk border-crossing game where Jev reads your cover story into observations and picks the inspector's next action.

Interactive explorer that uses Jev to tag TC39 proposals by adoption path, cognitive overhead, web-compat risk and intent archetype.

Experimental Markdown-to-Sanity mapper where Jev picks which source block fills each field and code copies it, generating no text.

Research pipeline that scores NYC 311 complaint descriptions with Jev and maps severity and safety signals on a city grid.

FGV Direito SP experiment comparing Jev with Gemini 3.8 Flash and GPT-5.6 Luna for annotating 12 variables in 120 TJSP court rulings.

Jev applied to SemEval-2026 DimABSA dimensional sentiment tasks using only typed primitives, no generation or fine-tuning.

Java (llama.cpp via FFM) and Python engines that fill boolean/enum JSON schemas in two forward passes with per-field confidence.

Zero-dependency Python CLI that hands small semantic judgments and verbatim passage selection to Jev; the calling agent keeps authority.

Python library with a TypeScript port that turns Jev questions into functions over lists and DataFrames, with caching and escalation.

Playwright plus Jev core behind a typed SDK, persistent CLI and MCP server, with native operations needing no key and verifiable assertions.

CLI that sends text to Jev for 13 PII-category yes/no checks and a sensitivity score, then locates spans with regex and segmentation.

Grounded extraction where code proposes spans with exact offsets and Jev only classifies each one; a LangExtract alternative.

CLI that normalises messy Japanese addresses to postal codes with rules and Japan Post data, asking Jev only for ambiguous steps.

Python re-style library that finds, replaces, splits and extracts text by meaning, with Jev judging each candidate span.

Next.js community playground extending the 110-example TypeSafe library with A/B comparisons, routing, extraction, games and simulations.

ComfyUI custom nodes that use Jev to select candidates, judge conditions, score text, extract numbers and choose local Skills.

Daily pipeline that reads Spain's official gazette with Jev, scoring relevance, tagging categories and picking a summary paragraph.

PDF question-answering demo where Jev chooses which extracted text chunk answers each question, shown with its location.

Zero-dependency library that numbers a text's words so Jev can pick them, returning exact substrings for extraction and PII.

Browser PDF search by meaning: Jev answers a yes/no per line on whether it answers your query, and matching lines light up.

Hugging Face Space for parallel constrained decoding on Apple Silicon: fills multi-field JSON schemas in parallel with field confidence.

Library, CLI and app that classify PDFs, DOCX and PPTX with Jev and split document packets at predicted boundaries.

Zero-shot named entity recognition that turns Jev's Choice answers into entity spans via nominate, verify and boundary questions.

Benchmark of Jev versus OpenAI structured outputs extracting smoking history from 1,000 synthetic notes.

Benchmark and web UI comparing dozens of zero-shot extraction and classification systems, including Jev-like engines.

Side-by-side comparison of Jev and DeepSeek-flash on speed, tokens, cost and accuracy for extraction, classification and reranking.

Official TypeSafe cookbook pattern: extract dates with typed questions and do validation and arithmetic in code.