Postmark
A working Demo that acts as classifier to classify linkedin post which inside uses jev by Typesafe.ai
How it uses Jev
I built it as a demo for the TypeSafe Jev model, to show what happens when a model returns structured answers instead of a paragraph you have to parse.
Use cases
- Choice: pick one option from a fixed set. Good for classification, routing, tool selection, workflow branching.
- Score: place something on an ordered scale. Good for urgency, risk, quality, virality.
- Noul: a yes or no likelihood between 0 and 1. Good for questions like was a refund issued or is this risky.
- Languages
- TypeScript 61% · CSS 36% · JavaScript 2%
- License
- MIT
- Last activity
- Sep 2026
- Added
- 2026-09-21
- Stars at snapshot
- 1
- Status
- Community listing
Source: community catalog. Details and metrics reflect the published community snapshot and are not a performance endorsement. Documentation details extracted from GitHub · the README · the project website.