Quick answer
BettaFish is a scenario simulation AI workspace, not a chatbot answer box.
You upload one focused source packet, ask a bounded simulation question, inspect the generated graph, then use the forecast report to review likely reactions, assumptions, and next tests.
How it works
How does BettaFish turn source material into a forecast?
Layer 1
Source packet
Bring one focused report, memo, launch brief, policy draft, crisis note, or narrative outline. BettaFish needs a bounded world, not a messy archive.
Layer 2
Graph
The system extracts actors, topics, motives, claims, incentives, constraints, and relationships so the scenario can be inspected before agents react.
Layer 3
Multi-agent simulation
Agents react over multiple rounds, surfacing objections, amplification paths, trust signals, missing evidence, and narrative drift.
Layer 4
Forecast report
The report turns the simulated reaction into likely paths, assumptions, risks, evidence gaps, and next questions for the operator to review.
Why not just ask a chatbot?
A chatbot can summarize, brainstorm, or answer directly from a prompt. BettaFish is built for decisions where the answer depends on actors reacting to each other over time.
BettaFish exposes the model behind the answer.
The graph and report show what the system thinks matters: actors, claims, incentives, pressure points, assumptions, and evidence gaps. That makes the forecast easier to challenge.
Comparison
Where does BettaFish fit among AI forecasting tools?
Chatbot
A direct answer, summary, or brainstorm from a single prompt.
Traditional forecast
A model or analyst view that often hides the scenario structure.
BettaFish
An inspectable AI simulation workflow: source packet, graph, agent reaction, and forecast report.
Use cases
When should teams use BettaFish?
Product launch reaction
Policy impact analysis
Public opinion forecasting
Crisis PR rehearsal
Market entry simulation
What to review before trusting a forecast
- Are the important actors present in the graph?
- Does the graph capture the real tension and incentives?
- Are assumptions visible in the forecast report?
- Does the next decision become clearer after the run?
FAQ
Questions about BettaFish
Is BettaFish an AI forecasting tool?+
Yes. BettaFish is an AI forecasting tool focused on scenario simulation. It forecasts by modeling actors, incentives, relationships, and reaction paths from source material.
Is BettaFish a multi-agent simulation tool?+
Yes. BettaFish uses multi-agent simulation to model how different actors may respond over multiple rounds, especially when the outcome depends on interaction.
What should I upload to BettaFish?+
Upload one focused source packet: a launch brief, market memo, policy draft, crisis note, analyst report, public opinion brief, or narrative outline.
Should I treat a BettaFish forecast as certain?+
No. Treat it as a structured hypothesis. The value is that BettaFish exposes likely paths, risks, assumptions, and evidence gaps before the real-world decision is harder to change.
Read next
Move from concept to operation.
Market Simulation AI
See how BettaFish models launches, pricing moves, market entry, and competitor reaction.
Open guideMulti-Agent Simulation AI
Understand the use-case page for actor graphs, multi-round reactions, and second-order paths.
Open guidePricing
Review plan options when you are ready to run repeated simulations with source material.
Open guideReady to test a real scenario?
Bring one source packet and one question. BettaFish will turn it into an inspectable graph, simulation, and forecast report.