jevbooks

← All projects

open-spark-jev

programminggenusacherontia611/open-spark-jev · Homepage

Local AI decision model for NVIDIA DGX Spark, inspired by Jev and System One.

Agent Decisions0.85Runner-up: Other
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

open-spark-jev is an open-source local decision model for Windows users who want offline AI decision-making without cloud subscriptions or programming. It is built on the Qwen3 architecture and optimized for NVIDIA DGX Spark.

How it uses Jev

The README does not describe how Jev is used. It only states that the project is inspired by TypeSafe's Jev and System One and provides a visual interface for decision-related questions, dataset import, and demos.

Try it

Download from the official releases page, install, and launch from the Start Menu.

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 material0.63
  • Shows a System One patternnot found in the excerpt0.13
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.86
  • Top-10 learning shortlist signalnot found in the excerpt0.16
  • Is a replica of the modelFound in material0.84
  • Solves a common problem (0–2)score on a 0–2 scale1.03 / 2
  • About JevFound in material0.69
Signals
Jev is core to the project0.63Shows a System One pattern0.13Describes handling uncertainty0.04Reports measured numbers0.04Is a runnable tool0.86Top-10 learning shortlist signal0.16Is a replica of the model0.8400.51Solves a common problem (0–2)1.03 / 2012

no-judgment band (0.40–0.60)

Design patterns

No pattern scored above the reporting threshold.

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.