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system-one-models-research

jshaam7/system-one-models-research

Research guide comparing typed decision models with baselines for bounded AI judgments.

Classification & Routing0.59Runner-up: Evaluation & BenchmarkingFunnel
Automated README summary

Automatically summarized from the README on 29 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A public research guide synthesizing literature and proposing experiment designs for System One decision models (Jev, Laya) versus rules, classifiers, and encoders on classification and entity-matching tasks. It targets researchers evaluating whether typed decision models add value.

How it uses Jev

The guide describes Jev as TypeSafe's hosted typed-decision API, where the application supplies state, a question, and allowed outcomes, and a typed result feeds application logic. It proposes experiments comparing Jev against baselines; no model was downloaded, trained, or queried, and no benchmark results are reported.

Primitives:choicenoulscore

Technique worth stealing

Compare decision models with simple baselines on the same records and select using error cost, review effort, deployment constraints, and measured performance.

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-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

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 excerpt0.27
  • Shows a System One patternnot found in the excerpt0.16
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolnot found in the excerpt0.04
  • Top-10 learning shortlist signalnot found in the excerpt0.11
  • Is a replica of the modelnot found in the excerpt0.23
  • Solves a common problem (0–2)score on a 0–2 scale1.22 / 2
  • About JevFound in material0.95
Signals
Jev is core to the project0.27Shows a System One pattern0.16Describes handling uncertainty0.06Reports measured numbers0.04Is a runnable tool0.04Top-10 learning shortlist signal0.11Is a replica of the model0.2300.51Solves a common problem (0–2)1.22 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.90Check-up0.53Inspection0.4500.51

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 29 Oct 2026.