Documentation / Foundations
Core Principles
Congregation DB is built around three foundational principles.
The platform is designed around operating constraints rather than abstract aspirations. These principles define how information should remain legible inside decision systems that combine deterministic and probabilistic signals.
Provenance
Every signal entering the system retains traceable origin and lineage.
Separation
Signals are separated by type so deterministic fact, probabilistic inference and derived intelligence remain distinct.
Provability
Decision outputs must remain replayable and auditable.
Foundational constraints
Provenance
Every signal entering the system retains traceable origin and lineage.
Decision systems must be able to determine where information originated and how it evolved over time.
Separation
Signals are separated by type so deterministic fact, probabilistic inference and derived intelligence remain distinct.
This prevents provenance collapse when AI systems combine heterogeneous signals.
Provability
Decision outputs must remain replayable and auditable.
Congregation DB preserves reasoning context so systems can reconstruct how outcomes were formed.