Simulated people in MiroFish should be role-based, bounded, and reviewable.

Direct answer

The phrase simulated people can raise the right questions. Are these real people? What do they know? What are they allowed to represent? In MiroFish, the safer framing is role-based personas: buyer, critic, analyst, fan, regulator, operator, or community member.

Simulated people are most useful when they reveal disagreement. They are least useful when they invent private traits, stereotypes, or personal claims that are not in the source material.

Prepare a useful first run

The safest way to use simulated people is to treat them as research prompts, not substitutes for real participants. A role can represent a kind of concern, such as trust, cost, access, compliance, enthusiasm, fatigue, or skepticism. It should not claim to know a named private person or produce fabricated testimonials.

Boundaries are part of the design. State what the role can know, what evidence it has seen, what it cannot infer, and which reaction should be treated as hypothetical. That makes the simulated cohort easier to audit and prevents the page from implying that generated reactions are the same as field research.

The value appears when the generated roles disagree in ways that suggest real research questions. If a critic reacts to missing proof, interview real critics or collect stronger evidence. If a supporter reacts to novelty, test whether that excitement survives pricing, onboarding, and repeated use.

Use the output to plan real validation. A simulated supporter can suggest language to test, a skeptical role can surface objections, and an operator role can reveal delivery risks. None of those reactions should be quoted as evidence, but each can become a survey question, interview prompt, usability task, or monitoring item.

When a role feels too specific, generalize it. Replace a named private individual with a public stakeholder category, replace a sensitive trait with a role-level constraint, and replace guessed motivation with a visible incentive from the source packet. This keeps the simulation useful without pretending to possess hidden knowledge.

Review checklist

Before acting on a MiroFish output, check whether the scenario stayed inside the question you asked. The most useful output for this page is: A set of simulated perspectives that respond to scenario events and help ReportAgent explain role divergence, objections, trust gaps, and likely next reactions. The key limit is equally important: Do not use simulated people to impersonate private individuals, infer sensitive traits, or replace direct user research when real feedback is needed.

• Use roles, not private identities. Describe the perspective needed for the decision.
• Set knowledge limits. A persona should not know facts outside its role or the seed material.
• Balance the group. Include supporters, skeptics, operators, and edge-case users when relevant.
• Review outputs carefully. Treat reactions as simulated prompts for research, not real quotes.

A realistic use case

For a community policy change, simulated people might include a long-time member, a new user, a moderator, a critic, and a sponsor. Their disagreement can reveal where the policy needs clearer explanation.

The value of the page is practical: define the job, prepare the right input, read the output with its limits visible, and choose a next step that can be checked outside the page.

How to read the report

Read a MiroFish report as a map of assumptions and reactions. Mark source-backed claims, uncertain claims, and follow-up questions separately. Then choose one change for the next run instead of accepting the first report as final.