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JevMade field notes / Technical explainer

LLMs vs. Jev, clearly explained

Akshay Pachaar contrasts autoregressive text generation with Jev's typed decisions, then shows how probabilities, confidence thresholds, and application code divide responsibility in a deployment-triage example.

Original by Akshay PachaarGetting startedX postOriginal published Source reviewed

Before you dive in

What you’ll find in the original

  1. Use Choice for a fixed menu, Score for an ordered scale, and Noul for the probability that a condition is true.
  2. Independent questions about the same state can run in parallel, but a decision that depends on an earlier answer must remain sequential.
  3. Keep thresholds and consequences in code: a valid typed answer can still be the wrong valid answer, so close probability distributions should trigger escalation.
Worth knowing

This is a conceptual explainer, not a benchmark. Its numerical probabilities are an illustrative routing example rather than measured production results.