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agent-workflow-typesafe-ai

ngallodev-software/agent-workflow-typesafe-ai · Homepage

Standalone TypeSafe AI/Jev semantic-evidence adapter for bounded Agent-Workflow decisions.

Agent Decisions0.67Runner-up: Verification & Guardrails
Automated README summary

Automatically summarized from the README on 7 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A standalone compatibility adapter that projects bounded, redacted task or skill evidence into TypeSafe AI/Jev questions and returns advisory semantic receipts, for hosts that match its published compatibility contract.

How it uses Jev

Jev answers versioned Choice/Noul/Score questions on projected task or skill evidence: routing.task_class, routing.interaction_required, routing.semantic_risk, skill.behavior_satisfied, skill.completeness, skill.actionability. Normalized answers become semantic-advice/v1alpha1 receipts; the host's policy decides whether to consume them.

Primitives:choicescorenoul

Technique worth stealing

Separate state preparation, TypeSafe transport, evidence, and host policy; the adapter returns advisory evidence while the host owns thresholds and routing.

Try it

Install agent-workflow-typesafe; enable the plugin, then run agent-workflow typesafe compatibility, doctor, advise-routing, or evaluate-skill.

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 excerpt0.29
  • Describes handling uncertaintynot found in the excerpt0.09
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolunclear0.45
  • Top-10 learning shortlist signalnot found in the excerpt0.20
  • Is a replica of the modelnot found in the excerpt0.15
  • Solves a common problem (0–2)score on a 0–2 scale1.16 / 2
  • About JevFound in material0.96
Signals
Jev is core to the project0.63Shows a System One pattern0.29Describes handling uncertainty0.09Reports measured numbers0.05Is a runnable tool0.45Top-10 learning shortlist signal0.20Is a replica of the model0.1500.51Solves a common problem (0–2)1.16 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.65Fail open, fail closed0.43Blind review0.42Funnel0.3300.51

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 7 Oct 2026.