A FIELD GUIDE TO JEV / VOL. 01

Маленькие решения.
Большие возможности.

Лучшее о Jev: реальные проекты, практические руководства и идеи со всего интернета.

1 198материалов16языков
TypeSafe AI THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POST

Пост запуска Jev

Диогу Алмейда представляет Jev, структурированную модель принятия решений TypeSafe. Посмотрите фильм о запуске и изучите оригинальный тред для подхода модели, примеров и отчетов автора о производительности.

Start with the Launch Post. Explore four official signals.

1 198 материалов

AI-assisted summaries and translations. Check original sources for context and performance claims.

OmniJev

PlayJev

Play ten browser games from the screen with a 0.8B open model that returns a probability over the game's legal moves in one forward pass, no text generated.

JEVLAB decorative pixel illustration; not source mediaJEVLAB ART
Agents & browsersEnglish

Source-linked curation

MongLong0214

jev-gate

Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code — V3 prototype runs today, V4 routes at the task boundary.

JEVLAB decorative pixel illustration; not source mediaJEVLAB ART
Decisions & routingEnglish

Source-linked curation

24601

Augustus

Agent skill: design judgment-assisted systems with TypeSafe Jev (System One). Maps Choice/Score/Noul onto decision theory, reranking, and routing. Composition algebra, question design, validation gates. MIT.

Augustus
Agents & browsersEnglish

Source-linked curation

legacybridge-tech

pi-typesafe-jev

A pi extension that exposes TypeSafe (Jev, System One) judgments as five pi tools, so a model can make narrow semantic judgments while your code and your users keep control of thresholds, weights, and actions.

JEVLAB decorative pixel illustration; not source mediaJEVLAB ART
Agents & browsersEnglish

Source-linked curation

valentynkit

jev-skip

Browser extension that reads the YouTube caption track and paints a per-segment sponsor probability on the seek bar before the intro ends, with no crowd database.

JEVLAB decorative pixel illustration; not source mediaJEVLAB ART
Agents & browsersEnglish

Source-linked curation

blog

One judge call vs twelve dimension scores

One direct Jev question per row against 12–14 Jev-scored dimensions with locally fitted weights on three classification tasks: 5,477 test rows, 25,174 Jev calls, $1.43. Decomposition wins on Japanese NLI (0.9076 vs 0.8373) but flags about 25× more hard benign rows as attacks (37.2% vs 1.5%).

JEVLAB decorative pixel illustration; not source mediaJEVLAB ART
Decisions & routingEnglish

Source-linked curation

Bentlybro

siftr

Fast, cheap judgment for AI coding agents: semantic search, focused reads and list picking in ~2s. CLI + MCP server on TypeSafe Jev. Benchmarked on SWE-bench.

JEVLAB decorative pixel illustration; not source mediaJEVLAB ART
Agents & browsersEnglish

Source-linked curation

iamvatsalpatel

tiershift

Shift every LLM call to the cheapest model that can handle it. Routing decided by TypeSafe Jev in ~180 ms. No training data. Policy in plain YAML. TypeScript and Python.

JEVLAB decorative pixel illustration; not source mediaJEVLAB ART
Agents & browsersEnglish

Source-linked curation