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In this short presentation, the speaker outlines a practical workflow for creating AI systems that mimic a client’s unique speaking and writing style. The process begins by gathering authentic voice recordings and past email correspondence from the client. These materials are transcribed and analyzed to extract characteristic word choices, sentence structures, and overall tone. The extracted patterns are then used to train an AI model so that any generated content—whether spoken or written—reflects the client’s personal style. After training, the model’s output is tested and fine‑tuned, with attention to factors such as email length and consistency, ensuring the AI reliably reproduces the client’s voice in real‑world communications.

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