MeetTwins Allows Users to Deploy AI Avatars to Attend Meetings in Their Absence
MeetTwins, a new tool in beta development, enables users to send AI-powered digital avatars to attend Google Meet calls on their behalf. The application, built with AI models from Indian firm Sarvam and avatar technology from Simli, is configured to answer only pre-approved questions and relay information without requiring the user's direct participation. Intended use cases include status updates, academic scheduling conflicts, and routine client check-ins.
MeetTwins represents a specialized application of AI technology tailored for synchronous communication platforms. The system operates within defined parameters, configured beforehand with approved responses and source materials, preventing the avatar from generating unprompted answers or making commitments beyond its authorization scope. Any inquiries falling outside these pre-established boundaries trigger notification to the human operator rather than autonomous responses.
The tool's developer has incorporated safeguards acknowledging potential workplace friction, including an immediate exit mechanism if meeting participants express discomfort. The approach relies on transparent disclosure of the avatar's nature and its identification as artificial intelligence, which the creator suggests may paradoxically enhance user confidence rather than diminish it.
MeetTwins could reshape workplace meeting culture by reducing attendance at routine synchronous gatherings, potentially improving productivity for repetitive status updates. However, the tool may also erode interpersonal workplace dynamics and professional relationships if deployed without explicit colleague consent. Organizations adopting such technology might face employee concerns about job security, communication authenticity, and management expectations. The platform's success may ultimately depend on professional norms evolving to accept AI representation in low-stakes meetings, while resistance could limit adoption to genuinely routine administrative contexts.