A FIELD GUIDE TO JEV / VOL. 01

Małe decyzje.
Wielkie możliwości.

To, co najlepsze w Jev: prawdziwe projekty, praktyczne poradniki i pomysły z sieci.

1198materiałów16języków
TypeSafe AI THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POST

Wprowadzenie do Jev

Diogo Almeida przedstawia Jev, model strukturalnych decyzji TypeSafe. Obejrzyj film prezentacyjny i eksploruj oryginalny wątek, aby poznać podejście modelu, przykłady i zgłoszone wyniki.

Start with the Launch Post. Explore four official signals.

82 materiałów

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

Marcelo Mendes

A Tetris agent

An agent that plays Tetris with rapid decision-making capabilities. Shows potential for real-time game automation.

A Tetris agent
Agents & browsersEnglish

Source-linked curation

Idan Levin

Jev on the WebMCP benchmark

Jev achieved 100% task success on the WebMCP benchmark with significantly lower model costs compared to other systems, using a combination of tool selection and argument generation.

Jev on the WebMCP benchmark
Agents & browsersEnglish

Source-linked curation

Kun Chen

compact-adviser

An agent plugin using Jev to determine optimal points for session compaction, improving efficiency in context management.

compact-adviser
Agents & browsersEnglish

Source-linked curation

x.com

Day-one notes from a skeptic, in Chinese

A community post discusses Jev as a faster general classifier/decision-maker, questioning its accuracy in complex scenarios and noting potential benefits in limited solution spaces with low latency requirements.

JEVLAB decorative pixel illustration; not source mediaJEVLAB ART
Agents & browsers简体中文

Source-linked curation