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11ai offers a voice-first approach that goes beyond simple queries, connecting directly with your daily work tools to execute complex tasks and enhance productivity without ever leaving its interface.
ElevenLabs has just launched the alpha version of 11ai, a voice-first AI assistant designed to bridge the gap between conversational AI and actionable productivity. While traditional voice assistants excel at answering questions, they often fall short when it comes to executing meaningful tasks in your daily workflow. 11ai aims to change that by leveraging ElevenLabs' Conversational AI technology and integrating with the Model Context Protocol (MCP) to connect directly with the tools you use every day.
11ai is designed to help you manage your day more efficiently by integrating with popular productivity tools. Here are some of the tasks you can accomplish with just your voice:
Morning Planning:
Customer Research:
Project Management:
Team Communication:

11ai's architecture is designed to handle complex, multi-step tasks efficiently. Here’s a breakdown of how it processes voice commands:
While ElevenLabs has not released detailed benchmarks, early user feedback suggests that 11ai is responsive and accurate. The integration with MCP ensures that tasks are executed efficiently, reducing the time it takes to manage your workflow.
ElevenLabs is committed to improving 11ai based on user feedback. Future updates may include:
The launch of 11ai marks a significant step forward in the evolution of voice assistants. By focusing on actionable productivity and seamless integration with your tools, ElevenLabs is setting a new standard for how we interact with technology. Whether you're planning your day, researching customers, managing projects, or staying informed about team communications, 11ai is designed to make your life easier.
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About the author
Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
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25 June 2025
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