index / leepokai/llm-prompt-techniques-on-jev
llm-prompt-techniques-on-jev
Chain-of-thought and self-refinement for TypeSafe's Jev: feed its typed answers back as state and ask again. Benchmarks vs TypeSafe's own cookbook numbers.
Research and EvalsInfraListedPythonreadme pick
Repository
Stars0
LanguagePython
LicenseMIT
Created2026-09-19
Last pushed2026-09-19
Officialno
Judgment
Genuine Jev project0.94
gate 0.5
Uses Jev at runtime0.84
Is a meta list0.04
Is a reimplementation0.08
Quality scales
Substance2.39 / 3
gate 0.5
Docs2.84 / 3
Novelty2.93 / 3
Composite score0.89
Category distribution
Research and Evals0.99
Integrations0.01
SDKs and Clients0.00
Games and Simulation0.00
Agent and Dev Tooling0.00
Learning0.00
Other0.00
Applications0.00
Assigned categoryResearch and Evals
Category probability0.99
Category confidence0.99
PatternInfra
Pattern confidence0.34
Curation
StatusListed
Reasongate passed
README pickyes
Overridenone
Sources
- search:jev typesafe
- search:jev in:name,description,readme created:2026-09-19
Provenance
Modeljev-1.13.0
Question setv2
Judged at2026-09-19 10:54 UTC