A complete theory of how intelligent organisations — human, machine, and hybrid — can be built to reason well, act accountably, and improve over time. Truth and epistemology governs all; below it run three capture layers — data, information, knowledge — before intelligence, judgment, and the rest.
Threads are never finished. Articles are added wherever understanding develops. The Genesis collection is the original series — a place to start, not the whole project or a finished argument.
The theory that governs everything below — ground truth, dependency hierarchy, epistemic uncertainty, and the distinction between data, information, and knowledge.
Subjective, updatable stance — distinct from committed truth. What agents assent to before the commitment boundary.
Trustworthiness is the property (status, atomicity, uncertainty). Trust is the decision to rely given stakes and incomplete knowledge.
Knowledge built from repetition and pattern — complementary to explicit capture. Must cross the commitment boundary when accountability attaches.
Events as atomic data units — the event log as committed record. Events are data; at best they become information once structured. They are not knowledge.
Schemas, statements, and triples (subject, predicate, object) — structuring data into facts without mistaking capture for synthesis.
Ontology and knowledge graph — aggregated, L2-ready explicit synthesis fed by events and individual statements.
Human, machine, and collaborative intelligence — what AI can and cannot do, and what structure enables trustworthy reasoning.
Channels knowledge and intelligence toward ethics, values, and purpose — via the commitment boundary, quality mechanisms, and decision strategy.
Dynamic capabilities, domain ownership, and strategic agility grounded in epistemic infrastructure.
Single writer at scale, cross-cutting invariants, governance, and culture as frozen collective subjectivity.
Immutable infrastructure, event-driven architecture, and mechanism versus property in software practice.
Cybernetics, monitoring as truth capture, drift detection, and the operational system as a learning system.