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A vendor-onboarding rule should distinguish a missing document from a document that was submitted but fails a requirement. Judgment Pack Specification (JPS) is an early-stage proposal for representing that decision logic—and cases that test it—in a portable JSON document. Its aim is to make declared behavior easier to inspect and retest, not to prove that a rule is correct or safe to use.
What JPS is designed to represent
JPS stands for Judgment Pack Specification. The project describes it as an open, vendor-neutral specification for recording the evidence, rules, exceptions, uncertainty, escalation criteria, and evaluations behind an AI agent’s decision. A Judgment Pack is a JSON document for a particular decision, designed to remain separate from any one model, runtime, or user interface. The project overview describes the format; the Core 0.2.0-draft specification sets out its current draft scope.
That focus makes JPS different from a prompt format, retrieval API, workflow engine, or general-purpose rule language. It is intended to represent decision intent and the cases used to evaluate it. The surrounding application still has to gather inputs, apply permissions, involve people where appropriate, and control any real-world actions.
How a vendor-onboarding decision could be represented
Consider a synthetic onboarding process in which a supplier must provide several documents. A useful evaluation set should not collapse every incomplete or problematic case into a single “reject” outcome:
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- Complete submission: the required evidence is present and satisfies the stated criteria.
- Missing evidence: a required document has not been supplied, so the decision may need to request it or pause.
- Failed requirement: a document is present, but its contents do not meet a requirement.
- Applicable exception: a defined exception changes how a requirement is applied.
- Human review: uncertainty or an escalation condition calls for a person to decide.
These cases are illustrative, not a report of a deployed system. They show the kind of distinction a decision pack and its tests could make explicit. If a policy changes, an organization could check the affected cases before relying on the revised behavior. The project presents this as an approach for making decision behavior easier to inspect and retest; the available sources do not establish measured business impact.
What a pack and its tests can—and cannot—tell you
A well-formed pack or a passing evaluator test is not proof that the underlying rule is true, that the organization has authorized it, that the decision is safe, or that it is suitable for production. The official FAQ and implementation guidance draw that boundary explicitly. A conformance result applies to a particular conformance class and exact specification version; evaluator results do not establish factual grounding, authorization, safety, or operational fitness.
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Tests cover the cases they contain. They cannot establish how a system will behave outside that scope, validate unreliable inputs, or supply missing organizational approval. A pack can itself encode an incorrect rule. Permissions, human oversight, and external actions remain responsibilities of the application and the organization operating it.
How mature is JPS?
The official project currently identifies its Core as 0.2.0-draft. Its stated draft scope includes document conformance and an evaluator-conformance class with a seed evaluation corpus. The project warns that 0.x material may change incompatibly, so this should be treated as a draft specification rather than a settled industry standard. Project information provides additional status context.
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Brian Jin, the author of the introductory article and maintainer of JPS, says he does not yet know of anyone outside the project using it to build a solution. That disclosure is important: the sources do not establish independent adoption, production deployment, or market validation. The article invites readers to try an example with synthetic inputs and contribute missing decision cases or reproducible failures; that invitation is not evidence of independent validation.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Where the specification ends and implementation begins
The reference runtime is one implementation, not the authority that defines the format. The project identifies the separate specification project as the home of the normative specification, schemas, and conformance corpus. Its implementations page describes tools as implementations rather than certification. The runtime module is also listed on Go Packages.
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For a business considering this approach, the practical question is whether it is useful to write down decision rules, exceptions, uncertainty, and escalation behavior in a form that can be reviewed and tested. JPS proposes a portable structure for doing that. It does not replace policy ownership, domain expertise, application security, or operational controls.
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