Ssilky-x0Demos & playgrounds

Postmark

A working Demo that acts as classifier to classify linkedin post which inside uses jev by Typesafe.ai

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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.

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.

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