jev-mail-classifier

What Jev does in jev-mail-classifier

The project describes itself this way: Config-driven inbox classifier that tags, moves, flags and notifies from typed answers. In the Community additions category, Jev typically decides a single well-defined judgment, such as a label, a score or a yes/no check.

Verification

Verified. We confirmed this repository and its Jev relevance through the GitHub API and the source lists below. A specific file link has not been recorded yet.

How Community additions projects use Jev

Projects added from community lists and direct submissions. Many are small, single-purpose experiments, which makes them some of the easiest places to see how a Jev question is framed in real code.

Related Jev projects in Community additions

1. hunchcarldaws/hunchRuby ecosystem: turns judgment calls into control flow — `if Hunch.likely?("fraudulent", given: order)` reads like plain Ruby but branches on a typed Jev answer, with `pick` for Choice, `rate` for Score, and graded predicates from `possibly?` to `definitely?`.★ 14
   Ruby
2. jev-rag-benchmarkerendikmenn/jev-rag-benchmarkReproducible experiments on whether reranking with Jev improves a small RAG system, on a locked Turkish dataset, with quality, latency and cost reported together.★ 14
   Python
3. yummy-pi-extensionssugarforever/yummy-pi-extensionsExtensions for the Pi coding agent, each released separately, including a Jev-based model router.★ 14
   TypeScript
4. feelingsBoundaryML/feelingsBAML language support for an AI if-statement: `.feels()` as a real, typed method backed by a decision model.★ 15
   BAML
5. jevvyPanAchy/jevvyPlugins for coding agents, starting with one that auto-approves shell permission requests it judges harmless and passes everything uncertain to the normal flow.★ 15
   TypeScript
6. JarvisCorePrescott-Data/jarviscore-frameworkAgent frameworks: Python multi-agent runtime that ships Jev natively from 1.12, where agents ask typed `Choice`, `Score` and `Noul` questions through a decision client separate from the text model, the Kernel picks a specialist subagent by `Choice`, and each retrieved RAG passage is withheld from the generating model when its prompt-injection `Noul` exceeds 0.70.★ 15
   Python

See all 156 Community additions projects →

Where we found it

• MrJev/awesome-jev