Data labeling with decision models

CLI that classifies an artist's discography by theme, mood and lyrical complexity with Jev and shows a terminal dashboard.

Script that classifies your starred GitHub repos into GitHub Lists with Jev, dry-run by default and with a confidence threshold.

Applies a qualitative codebook to open-ended survey answers and reviews with Jev, exporting uncertain rows for human review.

Live race labelling 1,000 app reviews with four typed Jev questions versus Gemini 3.8 Flash JSON output.

Minimal FastAPI and React workbench where Jev picks metadata values such as genre for local audio files and writes them back.

Classifies 1,000 arXiv AI papers into 24 topics with one Jev Choice each and checks agreement against an LLM judge.

Web app that sorts large playlists by each song's main singing language using Jev, in batches of 100 with four in parallel.

Pipeline that ingests Google Maps restaurant reviews and classifies sentiment, five rating pillars and flags with Jev or an LLM.

Python batching proxy that asks the same Jev questions about many states and streams answers back as Apache Arrow tables.

Chinese tool that scans a Bilibili video's comments for rhetorical moves, with eight labels and quoted evidence, optionally via Jev.

GoodWatch movie and TV recommendation monorepo, listed for an experiment comparing Jev question designs for attribute scoring.

Research MVP pairing an LLM-authored, revisable ontology with Jev classification, where low confidence triggers ontology revisions.

Research demo where Jev answers plain questions about text and a small learned head adds new questions from human feedback.

DuckDB extension and Python package for semantic SQL that batches row-level filters, joins and classification on Jev.

Input layout optimizer that reorders rows and fields so a prefix-caching decision model judges every record in a big table faster.

Tabular classifier that learns which slices of labeled rows and columns to send Jev or LAYA, stopping when it has enough.

Claude Code plugin and Python CLI that hands judgments repeated over many items to Jev, with redaction, rate limits and a pilot run.

High-throughput native DuckDB extension that batches and streams Jev Noul, Choice and Score judgments directly from SQL.

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

Sutro's active-learning CLI that finds rows Jev is least sure about, asks you to label them, and uses GEPA to improve the definition.

Bun harness that runs Jev over datasets via OpenRouter, streams JSONL answers, and checks calibration, stability and regressions.

Unofficial TypeScript monorepo of Jev tools: a tool-call guard, a GitHub issue triage Action, a bulk JSONL/CSV sorter and a shared client.

grep where the pattern is a description: each line, record, function or diff hunk becomes a streamed Jev yes/no question.

Command-line tool for Laya typed decisions with presets, batch streaming, shortlisting, evaluation and a resident daemon.

.NET app that classifies Outlook, Gmail and IMAP mail into your categories with Jev, preview-first with a hard cost cap, all local.

PostgreSQL extension with jev(), jev_prob, jev_choice and jev_score to filter, rank and classify rows by plain-language conditions.

SQLite loadable extension and Python package exposing Jev Noul, Choice and Score as SQL functions and batched virtual-table scans.

VGI worker that exposes System One choice, noul and score as DuckDB table functions you can LATERAL join to classify whole tables.

Filament table filter that scores each row with a Jev Noul on a plain-English statement and keeps rows at or above 0.8.

Pre-alpha PostgreSQL C extension calling Jev from SQL for Choice, Noul, Score and batched judgments, with EXECUTE revoked by default.