index / ms-codehorizon/forkery-case-study
forkery-case-study
Product case study: Forkery turns hundreds of recipe comments into one score from people who cooked it. BRD, PRD, architecture, decisions, and how it uses TypeSafe's Jev decision model, with an honest evaluation. Code is private.
Applications?Feature ScoringListed
Repository
Stars0
Language—
LicenseNOASSERTION
Created2026-09-26
Last pushed2026-09-26
Officialno
Judgment
Genuine Jev project0.64
gate 0.5
Uses Jev at runtime0.70
Is a meta list0.04
Is a reimplementation0.06
Quality scales
Substance1.51 / 3
gate 0.5
Docs2.52 / 3
Novelty1.72 / 3
Composite score0.61
Category distribution
Jev's confidence in this category is below 0.5, so the category is shown with a question mark. It is not a listing condition: this entry's status was decided by genuine and substance alone.
Applications0.43
Other0.40
Learning0.13
Research and Evals0.04
Integrations0.00
SDKs and Clients0.00
Agent and Dev Tooling0.00
Games and Simulation0.00
Assigned categoryApplications (uncertain)
Category probability0.43
Category confidence0.35
PatternFeature Scoring
Pattern confidence0.78
Curation
StatusListed
Reasongate passed
README pickno
Overridenone
Sources
- search:topic:typesafe-ai
- search:jev in:name,description,readme created:2026-09-26
Provenance
Modeljev-1.13.0
Question setv2
Judged at2026-09-27 11:43 UTC