Observed Signal · Aug 5, 2026 · Technical Release · Source: DEV Community · Impact: 3/5 · Sentiment: Positive
Judgment Pack: Testable AI-Agent Decision Contracts
The author introduces the Judgment Pack Specification — a declarative, testable representation of the judgment behind AI-agent decisions. The specification describes when a decision applies, required evidence, rules, exceptions, unresolved conditions, escalation triggers, valid outputs, and how behavior can be tested. Making judgment explicit enables scenario-driven tests (approve, hard stop, unresolved, escalate) and treats abstention/escalation as first-class outcomes. The project is open source with a Go runtime and a GitHub specification repository; the author invites contributors for specification review, real-world decision packs, adversarial scenarios, and runtime/tooling work. The specification is intended to complement (not replace) agent frameworks, policy engines, MCP, and knowledge graphs by making decision conditions reviewable, testable, versionable, and reusable.
An open-source specification and runtime for making AI-agent judgments explicit and testable could improve governance, reuse, and auditability of agent-driven enterprise decisions relevant to MarTech/AdTech automation and deployment.
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Key Takeaways & Evidence Grounding
- The author created the Judgment Pack Specification: a declarative representation of decision conditions for AI agents.
- Judgment Pack describes questions, applicability, required evidence, relevant facts, rules, exceptions, unresolved conditions, escalation, valid outputs, and testing scenarios.
- The project is open source and includes a Go runtime and a GitHub specification repository.
- The author is seeking contributors for specification review, real-world packs, adversarial scenarios, and runtime/tooling improvements.
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1 Entity mapped“Specification: [Judgment-Pack/judgment-pack-spec](https://github.com/Judgment-Pack/judgment-pack-spec)...”
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