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local-ai-system-one-lab

felipegenef/local-ai-system-one-lab

Learn System One decision models locally with open-weights engines.

Automated README summary

Automatically summarized from the README on 17 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A small lab for System One models—AI engines that return typed decisions with probabilities in one forward pass. It teaches and runs open-weights equivalents of TypeSafe's Jev for free, with runbooks, lessons, and experiments for humans and AI agents.

How it uses Jev

The README does not describe Jev being used in code. It presents Jev as the famous closed model in the System One class and runs open-weights equivalents (Rizzo Flow, Laya) that return the same JSON contract for categorization decisions.

Primitives:choicescorenoul

Technique worth stealing

Use a single forward pass to return typed decisions with calibrated probabilities instead of generating text.

Try it

Run start.sh or follow RUNBOOK.md: install uv, clone rizzo-flow, uv sync, download, serve.

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 material0.86
  • Shows a System One patternnot found in the excerpt0.14
  • Describes handling uncertaintynot found in the excerpt0.07
  • Reports measured numbersnot found in the excerpt0.11
  • Is a runnable toolunclear0.58
  • Top-10 learning shortlist signalnot found in the excerpt0.32
  • Is a replica of the modelFound in material0.93
  • Solves a common problem (0–2)score on a 0–2 scale0.91 / 2
  • About JevFound in material0.94
Signals
Jev is core to the project0.86Shows a System One pattern0.14Describes handling uncertainty0.07Reports measured numbers0.11Is a runnable tool0.58Top-10 learning shortlist signal0.32Is a replica of the model0.9300.51Solves a common problem (0–2)0.91 / 2012

no-judgment band (0.40–0.60)

Design patterns
Check-up0.6600.51

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 17 Oct 2026.