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Examples

Real-world scenarios showing how HALOS provenance records capture human-AI collaboration across professional domains.

Each example includes a detailed collaboration narrative — who the human is, what they’re building, how AI is used, and where human judgment makes the difference. Every scenario demonstrates at least one decision where AI output is rejected or substantially modified with domain-specific rationale.

All scenarios, names, and organizations are fictional. Provenance records use the v0.3 provenance spec with graph model, decision provenance, human-AI interaction semantics, multi-policy governance, and policy evaluation traces.

The machine-readable .halos.json provenance records, additional example types, and a generation skill for contributing new examples are all in the halos-spec examples directory →


Domain Examples

HALOS Example: Scientific Research

Scientific Research

Dr. Nkechi Okonkwo — Computational epidemiologist

Excluded confounded feature the AI ranked as highly predictive


Companion Resources

Each narrative has a machine-readable companion .halos.json provenance record in the halos-spec examples directory.

Additional example types in halos-spec:

Example Purpose
minimal.json Smallest valid v0.1 provenance record
v0.2-graph.json v0.2 graph model reference example
CycloneDX embedding HALOS inside a CycloneDX SBOM
SLSA embedding HALOS as an in-toto/SLSA predicate

Contributing

New domain examples can be contributed to halos-spec. Use the GENERATE-EXAMPLE.md agent prompt to generate a new example with an AI assistant.