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decision-models-lab

shashikantdev3/decision-models-lab · Homepage

Learn decision models by building with them.

Automated README summary

Automatically summarized from the README on 15 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A lab for learning decision models: TypeSafe Jev and Microsoft Decision-1 route support tickets fast, Claude handles hard cases. Includes interactive site, benchmark, calibration tests and docs.

How it uses Jev

Jev answers typed questions (noul, choice, score) about support tickets: urgency, team, severity, customer blocked, personal data. Its probabilities feed an escalation policy: confident tickets auto-route, unsure or critical ones go to Claude. Jev also verifies Claude's draft for non-answers, leaked data, unapproved promises and tone.

Primitives:noulchoicescore

Technique worth stealing

Use a fast decision model to decide and verify, escalate to a slow model only when unsure or critical.

Try it

npm run hello (or -- --mock offline)

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 projectnot found in the excerpt0.30
  • Shows a System One patternFound in material0.62
  • Describes handling uncertaintyunclear0.60
  • Reports measured numbersFound in material0.68
  • Is a runnable toolFound in material0.78
  • Top-10 learning shortlist signalunclear0.48
  • Is a replica of the modelnot found in the excerpt0.08
  • Solves a common problem (0–2)score on a 0–2 scale1.80 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.30Shows a System One pattern0.62Describes handling uncertainty0.60Reports measured numbers0.68Is a runnable tool0.78Top-10 learning shortlist signal0.48Is a replica of the model0.0800.51Solves a common problem (0–2)1.80 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.97Funnel0.95Ghostwriter0.80Flight recorder0.73Check-up0.66Traffic light0.57Grey zone0.2500.51

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 15 Oct 2026.