Rehearsal is a voice-first platform for practicing high-stakes conversations against a behavioral model of the actual person you expect to face. Users describe a counterpart, such as an investor, executive, client, or landlord, and Rehearsal models how that person reacts, speaks, negotiates, and handles pressure. Each behavioral trait is stored in MongoDB Atlas with supporting evidence, a confidence score, and version history. When the model behaves incorrectly, users can correct it mid-conversation, for example, “She gets quieter when annoyed.” Rehearsal supersedes the old trait, records the correction as new evidence, and immediately changes the persona’s behavior. After each voice session, Rehearsal identifies important moments, such as when the user lost the thread or conceded too early, and provides an actionable debrief. Unlike a generic role-play chatbot, Rehearsal becomes more accurate over time by remembering when it was wrong.
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