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decision-kit

BrettReifs/decision-kit

Agentic UI demos for fast, inspectable decisions with Jev.

Agent Decisions0.54Runner-up: Classification & RoutingQuestionnaireFunnel
Automated README summary

Automatically summarized from the README on 11 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Decision Kit is a GitHub Copilot Canvas demonstration for making fast, inspectable decisions from real context. It offers incident response, feature prioritization, and customer escalation presets for developers and operators.

How it uses Jev

Jev answers three independent questions using choice, score, and noul primitives on the scenario context. The result includes selected branch, option probabilities, confidence, urgency score, and latency. A 0.72 confidence threshold gates automated certainty; below it, the case routes to human review. The LLM explains the bounded result without changing it.

Primitives:choicescorenoul

Technique worth stealing

Confidence gate with explicit human-review signal before LLM explanation.

Try it

Open repository in Copilot project session, reload extensions, open decision-kit Canvas, pick preset, edit context, Run decision.

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 material0.90
  • Shows a System One patternFound in material0.90
  • Describes handling uncertaintyFound in material0.90
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolunclear0.57
  • 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 scale0.62 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.90Shows a System One pattern0.90Describes handling uncertainty0.90Reports measured numbers0.05Is a runnable tool0.57Top-10 learning shortlist signal0.48Is a replica of the model0.0500.51Solves a common problem (0–2)0.62 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.97Funnel0.96Ghostwriter0.66Blind review0.51Traffic light0.34Fail open, fail closed0.25Prefetch0.2300.51

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 11 Oct 2026.