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SystemOneDecisionsConsole

bartczernicki/SystemOneDecisionsConsole · Homepage

A .NET console app demonstrating Jev-like AI decisions via SystemOne and Decisions APIs.

Automated README summary

Automatically summarized from the README on 4 Nov 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A .NET console application for developers exploring AI-powered business decisions. It provides 18 basic and advanced menu examples using SystemOne and Decisions APIs on Local AI or Microsoft Foundry AI, covering probabilistic forecasting, Bayesian updating, decision framing, and model calibration.

How it uses Jev

The app supplies a text input and a JSON question document to the SystemOne or Decisions API. Jev-like models return a choice with probabilities, a Yes/No probability (noul/predicate), or a score against an ordered rubric. The console displays these typed results, including confidence and probability bars, without applying boolean thresholds.

Primitives:choicescorenoul

Technique worth stealing

Consume AI judgments as typed probabilities (choice, noul, score) so software can compare, sort, and calibrate decisions with Brier scores.

Try it

Install .NET 10 SDK, load a decision model in LM Studio, set user secrets, then run: dotnet run --project SystemOneDecisionsConsole

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 projectunclear0.43
  • Shows a System One patternnot found in the excerpt0.26
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.92
  • Top-10 learning shortlist signalnot found in the excerpt0.33
  • Is a replica of the modelnot found in the excerpt0.10
  • Solves a common problem (0–2)score on a 0–2 scale0.23 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.43Shows a System One pattern0.26Describes handling uncertainty0.05Reports measured numbers0.04Is a runnable tool0.92Top-10 learning shortlist signal0.33Is a replica of the model0.1000.51Solves a common problem (0–2)0.23 / 2012

no-judgment band (0.40–0.60)

Design patterns
Check-up0.75Scorecard0.70Questionnaire0.3600.51

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 4 Nov 2026.