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a0-typesafe-ai

3clyp50/a0-typesafe-ai

Typed Jev judgments with probability cards in Agent Zero chat.

Agent Decisions0.56Runner-up: Evaluation & BenchmarkingQuestionnaire
Automated README summary

Automatically summarized from the README on 15 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A community Agent Zero plugin that lets agents ask Jev focused questions and receive typed answers with probability cards. It supports Choice, Noul, Score, and Box questions over text and images, using the official TypeSafe Python SDK.

How it uses Jev

Jev makes decisions via a single typesafe_query call combining Choice, Noul, Score, and Box questions over explicit state and attached images. Results appear as cards, distributions, token counts, elapsed time, and raw JSON in the JEV process step.

Primitives:choicescorenoul

Technique worth stealing

Combine independent questions over the same state in one call to reduce requests and keep context aligned.

Try it

Install the plugin in Agent Zero, set the API key, then call typesafe_query with state and questions.

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 material0.81
  • Shows a System One patternFound in material0.76
  • Describes handling uncertaintynot found in the excerpt0.08
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.93
  • Top-10 learning shortlist signalunclear0.43
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.00 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.81Shows a System One pattern0.76Describes handling uncertainty0.08Reports measured numbers0.04Is a runnable tool0.93Top-10 learning shortlist signal0.43Is a replica of the model0.0400.51Solves a common problem (0–2)1.00 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.98Viewfinder0.34Fail open, fail closed0.34Inspection0.3100.51

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 15 Oct 2026.