ASSAY-001

Independent pre-registered check of Jev calibration and type safety on Banking77 / CLINC150. Split verdict, full logs. Write-up: [donttrustme.ai](https://donttrustme.ai/assay-001.html)

OWNER

jourdanlabs

WHAT IT DECIDES

CHOICE

Picks one option from a fixed set

SCORE

Rates against ordered levels

NOUL

Answers a yes / no question

Inferred from this project's own one-line summary in the community list — it reads as a NOUL decision. Read the source to confirm.

THE SHAPE OF A NOUL CALL

A generic skeleton for this question type, not this project's actual code.

from typesafe import TypeSafe

ts = TypeSafe()
result = ts.evaluate(
    state=tool_call,
    questions={
        "is_risky": {
            "type": "noul",
            "instructions": "Could this call delete or overwrite user data?",
        }
    },
)
if result["is_risky"] and result["is_risky_confidence"] > 0.6:
    escalate_to_human(tool_call)

MORE IN Evaluation & Benchmarking

Jev Web Analyzeranalyzes a public SaaS landing page as clean Markdown and asks Jev ten bounded `Choice` questions about first-visit understanding, returning inspectable findings for the first change to make.Jev Playgroundbenchmarks Jev against Luna, Haiku, and Gemini at choosing validated legal moves in explicit-state games, scoring decision quality and consistency across a sequence of moves.Jev vs Mistral and Gemini for event validationhead-to-head test of Jev against Mistral Small and Gemini Flash-Lite at validating local event listings.jev-research-evalreproducible eval harness plus field note for Jev Ultrafast research-browser tasks, with QC'd cases, a suite runner, and a report generator.