AI Twin (Digital Twin Agent)
An AI agent trained to replicate a specific person's communication style, knowledge, and decision-making patterns—acting as their digital representative. AI twins handle routine interactions the person would normally do themselves: responding to emails, answering team questions, providing feedback on documents, or attending meetings as a representative. The twin learns from the person's past communications, preferences, and decisions.
Written by Max Zeshut
Founder at Agentmelt · Last updated Sep 9, 2026
Example
A CEO creates an AI twin trained on 5 years of email history and meeting notes. The twin handles 60% of internal emails autonomously—scheduling decisions, quick approvals, information requests—drafting in the CEO's voice and escalating complex or sensitive items for personal attention. Colleagues can't consistently distinguish twin responses from the CEO's.
Frequently asked questions
- How is an AI twin different from an AI assistant?
- An AI assistant is a general helper. An AI twin specifically replicates one person—their writing style, knowledge base, priorities, and decision patterns. The assistant answers 'How should we handle X?' with general best practices. The twin answers 'How would [specific person] handle X?' based on that person's demonstrated patterns and preferences.