Narrative
Intelligence
A formal algebra for organizational narrative
Every organization tells a story. This system makes it machine-readable.
Step 1

The Narrative Graph

An organization's narrative is a directed acyclic graph of assertions — from core story through positioning, product, operations, evidence, and communications. Each unit depends on units above it.

Step 2 · Σ Compose

Σ Compose — Stakeholder Views

The Compose operation filters the graph for a specific audience. A board member sees core story and evidence. An engineer sees product and operational layers. The result is itself a valid narrative graph.

Step 3 · Δ Propagate

Δ Propagate — Impact Analysis

When a narrative unit changes, the Propagate operation computes the full downstream impact. Change the core mission? See exactly which communications, product claims, and evidence need updating.

Click any node to see what it affects
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Step 4 · κ Cover + δ Drift

κ Cover + δ Drift — Health Metrics

Cover measures narrative completeness — are all claims backed by evidence? Drift detects coherence decay — which units have fallen out of alignment? Together they give you the NCI: Narrative Coherence Index.

Narrative Coherence Index
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Step 5 · ρ Resonate

ρ Resonate — Signal Scoring

The Resonate operation scores external signals against your narrative graph. Market news, competitor moves, regulatory changes — see instantly which parts of your narrative are affected and how urgently you need to respond.

CRITICAL
Step 6

Three Patents, One System

Narrative Intelligence connects three provisional patents into a unified system. Context scaffolding provides the data layer. Bidirectional validation ensures alignment. The algebra makes it all queryable.

Context Scaffolding

NarrativeGraph — the data layer

Bidirectional Validation

Ω Validate — alignment engine

Narrative Intelligence

SDK + CLI — the queryable interface

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