jev-reviews
halfspin-qc
The flagship experiment in this workspace is **`jev-reviews`**: an automated pipeline that ingests Google Maps restaurant reviews from **Apify Storage**, stores and deduplicates them in **Supabase PostgreSQL**, and classifies them using **Jev (TypeSafe System One)** or traditional generative LLMs across 5 operational pillars, extracting dishes, customer highlights, and owner recommendations.
- License
- Not declared
- GitHub Stars
- 2
- Source reviewed
- —
Where Jev makes a decision
Jev returns a structured decision for the local program; consult the source for the exact decision policy.
What this project offers
Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.
Review scope
Based on repository metadata and README with rule-based classification; pending human review, with no independent runtime or performance verification.
Sources and implementation
Related projects
pg-jev
realZachi · Data & Search
Adds natural-language filtering, classification, and ranking of rows to PostgreSQL queries.
jev-search
superagents-lab · Data & Search
Searches the web with Jev choosing sources and time ranges, then ranking returned links.
llama-index-jev
WiktorB2004 · Data & Search
Provides Jev rerankers and routers for LlamaIndex to score retrieved passages or select query tools.
jevsome-projects
ozers · Data & Search
A Jev project directory and discovery pipeline that stores integration evidence and can use Jev for classification.