Narrative source
A chapter, synopsis, lore document, campaign notes, screenplay scene, or strategic narrative brief.
Narrative world simulation
Narrative Forecasting AI
Simulate how characters, motives, institutions, memory, and conflict may evolve when a new event enters a fictional or strategic narrative world.
Built for scenario planning, not certainty. Every output should be reviewed against real evidence before an operating decision.
Scenario tape / illustrative
Narrative forecasting simulation for a story world
R1
ProtagonistMotive conflict sharpens
R2
Rival factionHidden leverage appears
R3
World memoryConsequence path shifts
Dominant force
Character motive
Pressure source
World memory
Evidence gap
Unclear stakes
Input
Story, chapter, lore, scenario brief
Engine
Character and world-state reaction rounds
Output
Plot pressure and consequence paths
What to bring
Bring the narrative world, not just a prompt.
Narrative forecasting works best when the source includes characters, motives, prior events, social rules, unresolved tensions, and the new event you want to test.
Actors and motives
Characters, factions, institutions, goals, fears, loyalties, secrets, and the relationships that create pressure.
New event
The decision, revelation, conflict, market move, or plot event you want to inject into the world.
Where it earns its keep
Forecast the consequence path before writing the next scene.
Narrative worlds have memory. A good continuation depends on how motives, relationships, and institutions react after the new event.
Fiction continuation01
Test which consequence feels earned.
Simulate how characters react based on established motives and prior world memory.
Game narrative02
Explore faction and quest pressure.
Model how factions, players, and world rules may shift after a campaign event.
Strategic narrative03
Stress-test a story before the audience sees it.
Use narrative simulation to inspect how a brand, policy, or product story may evolve through conflict.
Narrative forecasting needs memory and motive.
MiroFish builds a graph of actors, tensions, memory, constraints, and possible reactions, then simulates how a new event changes the world.
Stage 1
Ground the scenario
Upload source material and define the decision, event, or message you want to test.
Stage 2
Build the actor graph
Map the people, groups, incentives, constraints, and memory that shape the reaction.
Stage 3
Run reaction rounds
Let the simulated actors respond over multiple rounds so the second-order path appears.
Stage 4
Question the report
Review the trajectory, risks, weak assumptions, and what evidence would change the conclusion.
What the report should answer
The report should reveal the strongest continuation path.
- Which actor gains influence first
- Which motive conflict becomes decisive
- Which prior event changes the interpretation
- Which consequence path feels weak or unsupported
- Which follow-up question can deepen the scenario
Boundary conditions
Not a ghostwriter on autopilot.
- Not a replacement for authorial taste or editorial judgment
- Not guaranteed canon correctness unless the source material is provided
- Not useful when motives and stakes are absent
- Not intended to reproduce copyrighted works beyond user-provided context
Why MiroFish
Narrative forecasting AI should simulate consequence, not just continue text.
Generic AI can write the next paragraph. MiroFish helps inspect why the next event should happen and which forces make it plausible.
Story memory
Generic AI
Continues surface style
MiroFish
Tracks motives, relationships, and prior events
Conflict path
Generic AI
Single generated continuation
MiroFish
Multiple reaction rounds and consequence paths
Author control
Generic AI
Output-first drafting
MiroFish
Inspectable simulation before writing
FAQ
Narrative forecasting AI, for story worlds with memory.
Use it to inspect consequence and motive pressure before committing to the next plot move.
What is narrative forecasting AI?+
Narrative forecasting AI simulates how characters, factions, institutions, and world memory may respond when a new event is introduced into a story or strategic narrative.
Is it only for fiction?+
No. It can help with fiction, games, scenario writing, brand narratives, policy narratives, and other situations where actors and motives shape a story over time.
What should I upload?+
Upload chapters, outlines, lore notes, character sheets, campaign notes, strategic briefs, or any source material that defines the world.
Does it write the story for me?+
MiroFish focuses on simulation and consequence paths. You can use the report to decide what to write, but the creative judgment stays with you.
Why use this instead of a normal chatbot?+
A normal chatbot often continues text directly. MiroFish first builds an actor graph and runs reaction rounds, so the continuation can be inspected before drafting.
Related simulation paths
Follow the risk into the next decision.
Most decisions do not stay inside one category. These adjacent use cases help teams test the next market, customer, or public reaction path.
Strategic futures
AI Scenario Planning
Turn strategic plans, evidence, and constraints into inspectable future paths before committing.
Open AI Scenario PlanningMarket pressure
Market Simulation AI
Stress-test launches, pricing, competitors, and market entry before the public story forms.
Open Market Simulation AIPublic reaction
Public Opinion Simulation AI
Model how institutions, media, affected groups, and observers reshape public pressure.
Open Public Opinion Simulation AIWorlds remember
Forecast the consequence before the next chapter.
Bring the chapter, lore, or scenario brief. MiroFish will turn it into a narrative world simulation you can inspect.
Start a narrative forecast