jevbooks

← All projects

jev_learning

bhavishy09/jev_learning

Hands-on Jev project: support ticket router vs traditional LLM.

Classification & Routing1.00Runner-up: Verification & Guardrails
Automated README summary

Automatically summarized from the README on 28 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A small hands-on project exploring Jev, TypeSafe AI's fast structured-decision model. It builds a support ticket router that compares Jev's single-pass probabilistic classification against a traditional LLM's token-by-token generation, for developers learning why Jev is faster for classification and routing.

How it uses Jev

Jev takes a support ticket text plus valid routing options (e.g., Billing, Technical) and returns a probability for each option in one pass. The app picks the top option, or sends low-confidence cases to a human.

Primitives:choice

Technique worth stealing

Compare single-pass typed probabilistic classification against token-by-token LLM generation for routing.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.89
  • Shows a System One patternnot found in the excerpt0.26
  • Describes handling uncertaintynot found in the excerpt0.07
  • Reports measured numbersnot found in the excerpt0.09
  • Is a runnable toolnot found in the excerpt0.17
  • Top-10 learning shortlist signalunclear0.48
  • Is a replica of the modelnot found in the excerpt0.05
  • Solves a common problem (0–2)score on a 0–2 scale1.40 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.89Shows a System One pattern0.26Describes handling uncertainty0.07Reports measured numbers0.09Is a runnable tool0.17Top-10 learning shortlist signal0.48Is a replica of the model0.0500.51Solves a common problem (0–2)1.40 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.6600.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 28 Sept 2026.