index / RobGruhl/jev-learnings
jev-learnings
What we learned using a decision model (Jev) between code and an LLM: tiered cascades, novelty and doubt, question design, honest evaluation
LearningControl LoopListed
Repository
Stars0
Language—
License—
Created2026-10-12
Last pushed2026-10-12
Officialno
Judgment
Genuine Jev project0.90
gate 0.5
Uses Jev at runtime0.43
Is a meta list0.06
Is a reimplementation0.13
Quality scales
Substance1.76 / 3
gate 0.5
Docs2.95 / 3
Novelty2.69 / 3
Composite score0.78
Category distribution
Learning0.96
Research and Evals0.04
SDKs and Clients0.00
Integrations0.00
Agent and Dev Tooling0.00
Applications0.00
Games and Simulation0.00
Other0.00
Assigned categoryLearning
Category probability0.96
Category confidence0.95
PatternControl Loop
Pattern confidence0.57
Curation
StatusListed
Reasongate passed
README pickno
Overridenone
Sources
- search:jev in:name,description,readme created:2026-10-12
Provenance
Modeljev-1.13.0
Question setv2
Judged at2026-10-12 14:07 UTC