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decisions-demo

vecten/decisions-demo

Decision models vs language models on three agent tasks.

Automated README summary

Automatically summarized from the README on 13 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A research demo comparing decision models (TypeSafe's Jev, OpenAI's gpt-6-luna) with Claude on three tasks: shell-command guardrails, venture deal-flow triage, and company taxonomy classification. It measures agreement, latency, cost and calibration, and is the code and data behind a blog series.

How it uses Jev

Jev answers typed Pydantic questions (accept/review/reject, destructive, outside working directory, misleading; stage, sector, fit, priority, next step; domain and subindustry) and returns a probability per option. A confidence band routes only uncertain cases to Sonnet, which writes rationales or partner notes.

Primitives:choicescorenoul

Technique worth stealing

Let the decision model answer everything; route only cases it is unsure about to the language model.

Try it

uv sync; cp .env.example .env; uv run --env-file .env jev_vs_sonnet.py

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 excerpt0.13
  • Shows a System One patternFound in material0.71
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.12
  • Is a runnable toolnot found in the excerpt0.07
  • Top-10 learning shortlist signalnot found in the excerpt0.33
  • Is a replica of the modelnot found in the excerpt0.05
  • Solves a common problem (0–2)score on a 0–2 scale1.56 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.13Shows a System One pattern0.71Describes handling uncertainty0.05Reports measured numbers0.12Is a runnable tool0.07Top-10 learning shortlist signal0.33Is a replica of the model0.0500.51Solves a common problem (0–2)1.56 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.96Check-up0.85Ghostwriter0.79Grey zone0.70Traffic light0.55Flight recorder0.37Question bank0.24Questionnaire0.2400.51

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 13 Oct 2026.