Email twins go beyond AI assistants. An assistant suggests; a twin generates. An assistant uses a generic prompt; a twin uses a per-user voice profile built from your sent mail. The twin metaphor captures the personalization (it's you) while you stay in control of what gets sent.
What separates a twin from an assistant
An email assistant uses a generic model and a prompt. You ask it to draft a reply, it produces something that sounds like the model's average user, you edit heavily. An email twin applies a per-user voice profile built from your sent mail. You see drafts that already sound like you. Editing is lighter.
The technical difference is personalization. Assistants send every user's request to a general model the same way. A twin like Pranan measures each user's writing patterns and gives them to the model at draft time, so each person gets drafts in their own voice. No model is fine-tuned on your email.
For enterprise users, the distinction also matters for privacy. Twins isolate per-user, so your data never trains models for someone else's account.
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