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Parking Operations Decision Layer

A pilot build of the Parking Operations Decision Layer PRD: the support desk, agent guard and shared decision layer send each item to Jev as typed questions in one call, then rules and a confidence gate route it to AUTO, REVIEW, HUMAN or BLOCKED with an audit log.
Stars
0
Language
TypeScript
Reading time
2 min
Published by
Community
Author
vignu10
Last verified
Oct 2026

Highlights

  • Flow: item to Jev typed questions in one call, then business rules, then AUTO, REVIEW, HUMAN or BLOCKED, then actions and an audit log.
  • Rules are layered: hard rules for safety, money and policy first, then a confidence gate equal to the weakest gating question.
  • Runs fully offline with a deterministic mock Jev; JEV_PROVIDER=mock is the default, so demos never depend on the network.
  • Real providers: vercel with AI_GATEWAY_API_KEY (Vercel AI Gateway, typesafe-ai/jev, no waitlist) or typesafe with TYPESAFE_API_KEY.
  • Scope spans support desk S-1 to S-8, agent guard D-9 and D-10, and shared layer F-1 to F-8; npm test runs 38 tests.

Quickstart

bash
npm install
cp .env.example .env.local
npm run dev
npm test

Watch out

README reviewed 2026-10-17; the captured text cuts off inside the typesafe provider row, and this is a pilot build of an internal PRD with 0 stars and no license. The offline mode is deterministic keyword heuristics, not measured model behavior.

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