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Most interview copilots pass the interviewer’s question to a large language model (LLM) and show whatever comes back. MiPrep works the other way round. Before the call, it reads your resume, the job description and your own notes, then builds a prepared answer deck: the questions this role is likely to ask, the ways interviewers reword them, and an answer for each, broken into speakable beats and grounded in your real projects and numbers. During the interview, MiPrep listens for when the question has actually ended, matches it to your prepared card in about ten milliseconds, and shows the first line in under a second on a private HUD that Zoom, Meet and Teams screen share never capture. It keeps context across follow-ups, reads on-screen coding problems from a single window you pick, and works on desktop (macOS and Windows), over a phone call, or in the room. Scored mock interviews grade you against your own prepared points.

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