Email twins go beyond AI assistants. An assistant suggests; a twin generates. An assistant uses generic models; a twin uses a per-user model trained on your sent mail. The twin metaphor captures both the personalization (it's you) and the autonomy (it can act on your behalf, with your approval).
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 uses a per-user model trained on your sent mail. You see drafts that already sound like you. Editing is minor.
The technical difference is training scope. Assistants are trained once on a large general corpus. Twins are fine-tuned per user on that user's specific writing patterns. Assistants serve everyone the same way. Twins serve each person differently.
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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