01
Scavenger
Deconstructs a narrative into pillars, actors, manifestations, and source queries.
Narrative Intelligence Agent
The Narrative Intelligence Agent builds living graphs of narrative systems.
Whether those systems are cultural, institutional, commercial, fictional, or interactive.
The Narrative Intelligence Agent does not merely generate reports. Every run adds structure to a persistent graph: narratives, actors, institutions, claims, symbols, contradictions, sources, lifecycle phases, and intersections.
The first dossier is useful. The hundredth dossier is a moat.
Two modes
Public fields and fictional universes.
The Narrative Intelligence Agent is not limited to public discourse. It can also become a living intelligence graph for fictional universes, franchise IP, and game worlds.
01 · Public Field Intelligence
Maps real-world narratives: markets, brands, culture, politics, institutions, source clusters, contradictions, lifecycle phases, and cross-narrative intersections.
02 · Fictional Universe Intelligence
Maps internal story worlds: characters, factions, artifacts, canon, world rules, symbols, commitments, reveals, audience expectations, and continuity risks.
Four-phase engine
Scavenge, synthesize, persist, serve.
02
Synthesizer
Generates a strategic source-backed dossier with lifecycle signals, threat matrix, contradictions, and trajectory.
03
Graph Ingestor
Persists the connective tissue into Neo4j graph memory.
04
Intelligence API
Serves dossiers, global narrative maps, and cross-narrative intersection queries.
Killer feature
Cross-narrative intersections.
The most valuable intelligence often lives between narratives. Narrative Intelligence Agent reveals shared actors, institutions, claims, contradictions, and symbolic structures across fields that appear unrelated on the surface.
Example query: which actors appear in both “The American Dream” and “Crypto”?
query · intersection
MATCH (a:Narrative {name:"The American Dream"}) ∩ (b:Narrative {name:"Crypto"})
American Dream clusterCrypto cluster
Silicon Valleyventure capitalretail investor communitiesElon MuskCoinbase
5 shared nodes · 2 contradiction edges · confidence 0.78 (modeled estimate)
The compounding graph
Every subscription becomes a strategic memory account.
A client is not renting software. They are building institutional narrative memory.
After 18 months, the client has
- 18 months of narrative snapshots
- 18 months of mutation history
- 18 months of competitor comparisons
- 18 months of source-backed risks
- 18 months of strategic context
Switching cost
Leaving means losing a living map of their narrative world.
Graph memory is cumulative and client-specific. Snapshots, mutation history, and provenance chains cannot be reconstructed retroactively by a competing tool.
Graph layers
Three layers of narrative memory.
Layer 1
Global Narrative Graph
Broad public narratives across markets, culture, media, politics, technology, finance, and institutions.
Layer 2
Sector Narrative Graph
Domain-specific maps for studios, brands, finance, policy, education, and agencies.
Layer 3
Private Client Graph
Client-specific campaigns, scripts, brand assets, internal research, competitors, crises, and proprietary documents.
Example outputs
What a Narrative Intelligence Agent dossier contains.
Vital Signs
Lifecycle Stage
Momentum
Actor Map
Institutional Dependencies
Threat Matrix
Contradiction Map
Source-Backed Claims
Response Playbook
Cross-Narrative Intersection Report
Response Playbook action categories
Amplification Opportunities
Inoculation / Resilience Strategies
Misinterpretation Risks
Monitoring Priorities
Build your organization's strategic narrative memory.
A report tells you what happened once. A graph remembers what is changing.