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jev-step-by-step

ease-my-work/jev-step-by-step

Learn JEV decision model by building a customer-support assistant in 12 steps.

Automated README summary

Automatically summarized from the README on 9 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A step-by-step course that teaches JEV, TypeSafe AI's decision model, by building a customer-support assistant called Desk Buddy. Each step compares a JEV-based version with an LLM-only version on speed, cost, and accuracy.

How it uses Jev

JEV answers typed questions (Choice, Score, Noul) about a customer message. For example, a Choice question picks the support team; a Noul question checks urgency; a Score question rates frustration. The returned probabilities and choices are used in code to route, guard, or judge.

Primitives:choicescorenoul

Technique worth stealing

Split work: JEV for fast decisions, LLM for writing, code for exact calculations.

Try it

python steps/step01_hello_noul/run.py --replay (no keys needed)

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 material0.87
  • Shows a System One patternunclear0.54
  • Describes handling uncertaintynot found in the excerpt0.07
  • Reports measured numbersnot found in the excerpt0.14
  • Is a runnable toolunclear0.53
  • Top-10 learning shortlist signalFound in material0.76
  • Is a replica of the modelnot found in the excerpt0.10
  • Solves a common problem (0–2)score on a 0–2 scale0.82 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.87Shows a System One pattern0.54Describes handling uncertainty0.07Reports measured numbers0.14Is a runnable tool0.53Top-10 learning shortlist signal0.76Is a replica of the model0.1000.51Solves a common problem (0–2)0.82 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.98Ghostwriter0.97Funnel0.97Check-up0.91Traffic light0.87Grey zone0.34Inspection0.29Flight recorder0.26Viewfinder0.2100.51

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 9 Oct 2026.