ProvenanceDB
A structured specification for provenance-aware data storage, trust metadata, source trails, and agent-readable query layers.
Independent lab · Toronto, Canada · Est. 2026
BHX Labs is a compact home for working papers, open-source experiments, datasets, and infrastructure ideas built around clarity, provenance, and public usefulness.
BHX Labs treats digital projects as research artifacts: documented, versioned, inspectable, and useful beyond the first launch.
Selected work
A structured specification for provenance-aware data storage, trust metadata, source trails, and agent-readable query layers.
A scoring framework for evaluating whether a resource belongs in a curated index, awesome list, or structured review workflow.
A conceptual research program on how search, social platforms, AI systems, and private feeds reshape discovery across the web.
Reusable structures for publishing datasets with metadata, citation files, README documentation, and transparent update notes.
ARIA patterns, lightweight linters, and practical checks for small web projects that need better accessibility coverage.
Research notes on repeatable AI-assisted workflows, knowledge preservation, daily prioritization, and human-AI collaboration.
Operating method
Each project should explain what it is, what it is not, and what evidence supports its usefulness.
Specs, READMEs, citations, version notes, and provenance records should travel with the work.
Useful systems should be durable enough to survive redesigns, platform changes, and quiet months.
Research ledger
Contact
Use BHX Labs as the neutral hub for experiments that need a home beyond a personal blog, a single repository, or a one-off publication.