Jahan simulates how a population reacts to a product. It builds a population of LLM personas, each grounded in a real survey respondent drawn from a one-million-row dataset rather than invented by a prompt, places them on a social network, and lets them meet a product on an X-like feed, a Reddit-like forum and through word of mouth before answering survey waves about whether they would buy it.
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Personas see the product on a feed and a forum and change their minds out loud.
Every turn is written to an append-only trace, so any run can be replayed, resumed or audited.
Personas answer in their own words and answers are scored by semantic similarity instead of being asked for as a number.
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