Information

How does recorded data become structured, interpretable fact?

Schemas, statements, and triples (subject, predicate, object) — structuring data into facts without mistaking capture for synthesis.

15 published articles

From Synthesizing Knowledge

Synthesizing Knowledge

Series preview — how explicit information becomes something we can act on

From Genesis

Capturing Truth — and the Schema-Evolution Myth

How truth gets into a system in the first place, and why doing it wrong shows up as schema churn

Thinking by Writing

Decision as emission — why humans and machines both reason in symbols, and why capture is not the same for each

The Moment of Commitment

Where derivations become decisions and accountability crystallises

When Facts Are Wrong

Corrections, amendments, and compensating transactions

Why Atomicity Matters

How far an artifact sits from the irreducible — and why that governs what may depend on it

Why Uncertainty Matters

How confidently an artifact reflects the truth — at the moment you actually use it

The Facets Composed

Six orthogonal facets, one question: how much may I trust this?

What Information Theory Says

The formal underpinning of the facets

One Authority Per Invariant

The principle that makes distributed systems consistent makes organisations accountable

Enforcing Invariants Without Locks

Partition writes to single authorities — coordinate at routing, not at commit

One Authority Per Invariant — At Scale

How the single writer principle applies when multiple product teams share cross-cutting obligations

LLMs at the Commitment Boundary

Classifying every meaningful LLM variant — and why the harness, not the model, sets the trust

Event Sourced Science

Why the ML reproducibility crisis is an architecture problem

The Unified Theory

One problem. One axiom. Six facets. Zero coincidences.