Resource Regulation
structural_pressure0.72
recovery_elasticity0.41
Audience Runtime · Stage 3B
Model how a narrative changes audience state before launch.
NarrativeOS projects audience-state trajectories across sequential story events, using explicit cohort profiles, environment context, and traceable reasoning.
What it models
Fourteen audience dimensions, tracked per event.
attentioncomprehensiontrustidentificationemotional activationconfusionresistancecuriosityfatigueshare impulsemutation likelihoodvalidator requirementissue understandingaction readiness
projected audience trajectory · modeled estimate
trustconfusioncuriosityresistance
S1S2S3S4S5S6S7S8
[flag] confusion spike at S4–S5 · reveal timing weak · attributed to SubChunk 4.2
12D-derived cohort profile
Population heterogeneity, expressed as mechanism.
The current MVP uses one 12D-derived aggregate CohortProfile per ExecutionRun. Future sandbox execution will expand this into 500 weighted mechanism nodes.
Epistemic Routing
authority_orientation0.58
validation_threshold0.66
Semantic Access
formal_register_access0.49
register_adaptability0.63
Kinetic Constraint
commitment_load0.77
risk_buffer0.35
external_affordance0.52
Information Processing
channel_centrality0.68
velocity_affinity0.81
depth_tolerance0.38
Execution discipline
LLM delta classifier, Python mutation.
The LLM does not calculate final audience truth. It proposes structured ordinal deltas. Python validates, dampens, clamps, and persists the successor AudienceState.
SubChunk + StoryState delta + CohortProfile + Environment→
LLM ordinal delta→
Python state mutation→
AudienceState_t→
ExecutionTrace
Outputs
What a run returns.
projected audience trajectory
scene / SubChunk attribution
target-state divergence
confusion and trust movement
commitment tracking
orientation risk
execution trace
impact report
Fictional universes
Audience Runtime for fictional universes.
For studios and game worlds, Audience Runtime models how different audiences move through the story world over time: what they remember, what they trust, what they expect, where they become confused, which characters carry identification, and whether key reveals have enough setup to land.
attentioncuriosityconfusionorientationtrustempathyidentity relevanceissue or world understandingaction readiness / continuation desirecommitment trackingpayoff adequacy
Core fans
Higher prior knowledge, higher depth tolerance, stronger symbolic memory.
Casual viewers
Lower prior context, higher orientation needs, greater risk of lore overload.
New audiences
Require onboarding, an emotional anchor, and clearer world rules.
Game players
State depends on discovered lore, quest choices, faction alignment, and session context.
Diagnose the audience journey before the audience sees it.
All outputs are modeled estimates with confidence values and provenance, not observed audience truth.