MIROFISH
MIROFISH describes an AI simulation workspace for rehearsing decisions that depend on people reacting to one another. A scenario might concern a product price increase, a launch message, or a policy debate. The workflow begins with your question and continues through a knowledge graph, simulated interactions, and a report you can question further.
A focused question and optional files
You can start with text without uploading a file. The publisher recommends naming the decision, audience, trigger, and time horizon. A question about how one customer segment might react to a particular price change gives the simulation a clearer scope than asking for a broad market forecast.
PDF, Markdown, and text files can provide supporting context. The site's suggested inputs include a strategy memo, product FAQ, policy brief, or customer research summary. It recommends concrete actors, incentives, and constraints in those files. Select material that describes the scenario you intend to explore rather than assuming the system already knows your organization.
Graph, simulation, and report
The described knowledge-graph step extracts actors, relationships, pressures, and factual anchors. Agent simulation then has personas interact over multiple rounds across short-form and threaded social surfaces. The report condenses those simulated interactions into turning points, risks, confidence signals, and follow-up paths.
MIROFISH also describes result cards containing a summary and a report entry point. You can continue asking questions about the generated scenario. For example, the publisher suggests asking which group would change the result if its incentive changed. That is a way to examine an assumption inside the simulation, not evidence that the group's real-world behavior has been observed.
Rehearsal limits and access
MIROFISH says its output is exploratory decision support, not a guaranteed forecast. The site recommends looking for resistance signals and assumptions to check with real data. Its listed uses include campaign testing, pricing reactions, policy stress tests, market narratives, and crisis response.
The pricing page directs you to the product workspace to review plans and usage. It does not publish prices or simulation quotas in the captured text. Evaluate access and cost there before planning repeated runs. Use a simulated report to decide what to investigate next, then compare important assumptions with research, analytics, or direct feedback.