Journal Article
The Doctrine of Intelligence Pluralism
A framework for reliability through structured, role-separated intelligence rather than a single authority.
BDB Labs — Research
BDB Labs develops and tests the concepts behind BagelTech: governance methods, ensemble reasoning, decision infrastructure, and publishable frameworks.
Research index
Durable publications spanning AI governance, ensemble reasoning, decision infrastructure, and institutional systems.
Journal Article
A framework for reliability through structured, role-separated intelligence rather than a single authority.
Preprint
Runtime governance layer grounded in rights-based reasoning and controlled execution under uncertainty.
Report
Uncertainty as a routing signal that triggers escalation, abstention, retrieval, or human review.
Research
A framework for reliability through structured, role-separated intelligence rather than one synthetic authority.
Specification
A technical specification for execution, escalation, evidence capture, and governable model behavior.
Framework
A rights-based governance framing for controlled AI execution under uncertainty and institutional authority.
Report
An argument that uncertainty should trigger routing, escalation, abstention, retrieval, or human review.
Framework
A practical method for using specialist roles, repeatable packs, and comparative review in AI-assisted engineering.
BDB Labs research feeds directly into BagelTech products and BPV advisory methods.