What is Jev's Garage?

A workshop full of small, inspectable experiments for TypeSafe System One models: each bay gives Jev a realistic state, asks typed questions, and lets ordinary Python policy decide what happens next.

Which demos does it include?

Critical bays such as fraud screening, cyber triage, safety guardrails, medical routing, industrial faults, emergency dispatch, autonomous decisions, infrastructure monitoring, compliance screening and AI output verification.

What is the architectural rule?

Every critical bay follows state -> Jev -> typed result -> deterministic policy -> action or safe fallback. Jev supplies judgment and the application keeps authority, so the model never directly performs an irreversible side effect.

What question types are used?

Choice, Score and Noul questions that return typed values with uncertainty instead of free-form prose, so application code can reason about the answers with explicit thresholds.

How do I open the garage?

You need Python 3.11+, uv and a TypeSafe API key: run uv sync --locked --all-groups, copy .env.example to .env and add TYPESAFE_API_KEY, then run just gallery.

Does it need an internet connection or key?

Live runs need a TypeSafe API key and network access. The gallery opens locally on port 8000 with automatic fallback if it is occupied, or you can choose with just gallery --no-browser --port 8080.

Are these production systems?

No; they are deliberately small, inspectable demos that show the pattern for critical systems rather than certified products. The digest also notes the repo lists no license and the bay list is truncated mid-table.

Jev directory

CommunityJev Demos & Experiments

Jev's Garage

A workshop of small, inspectable Python experiments for TypeSafe System One models: ten critical bays, from fraud screening to emergency dispatch, each giving Jev a realistic state while deterministic policy keeps authority over the next action.

See highlights Open github.com

Stars: 1
Language: Python
Reading time: 2 min
Published by: Community
Author: jgalego
Last verified: Oct 2026

jgalego/jevs-garage

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A garage full of tiny experiments for building critical systems with System One & Jev 🔧🧠⚡

Forks: 1
Last pushed: Updated Sep 2026

Repo stats from the GitHub API, cached Oct 2026.

Tagscommunity catalog-import logicrw ai-safety critical-systems

Works forJev for Decision gating Jev for Classification Jev for Scoring

Used inJev for Software & DevTools

Languages: Python
Platforms: CLI Browser
Capabilities: Open sourceRuns locallyRequires API key

Highlights

Ten critical bays from fraud screening to emergency dispatch, each following state -> Jev -> typed result -> deterministic policy -> action or safe fallback.
Jev supplies judgment while the application keeps authority; critical demos never let the model directly perform an irreversible side effect.
The gallery has Input, Signals, Visuals and Decision tabs, validates JSON before enabling Run Jev, and revalidates on the server before the live call.
Signals move from red through amber to green by certainty; charts support + and - zoom, 1:1 reset, mouse-wheel zoom and drag-to-pan.
Runs with uv sync --locked --all-groups, a .env holding TYPESAFE_API_KEY, and just gallery; if port 8000 is busy, use just gallery --no-browser --port 8080.

Quickstart

bash

uv sync --locked --all-groups
cp .env.example .env
just gallery

Watch out

Grounded on the truncated README and GitHub metadata reviewed 2026-10-15; the critical bay table is cut off inside the AI output verification row, so the described list may extend further. The repo lists no license and publishes no accuracy figures; the demos are illustrative and were not run for this entry.

Questions about this entry

Short answers drawn from the linked project or page.

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Original write-ups on what this entry is for.

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