At 23, Emagen AI’s founder Yimao Zhou challenges the prevailing narrative that AI primarily boosts individual productivity, claiming instead that current AI agents fracture team alignment. His solution is Cagen, an operating system-level AI agent designed to orchestrate team workflows by driving tasks and summoning human inputs at key points.
- AI agents increase individual output but worsen team alignment
- Cagen acts as an OS-level AI to orchestrate workflows and human input
- 90% of today’s AI agent startups may fail without solving coordination
What happened
Yimao Zhou, a 23-year-old entrepreneur and founder of Emagen AI, has developed Cagen, an AI-driven operating system designed to improve team coordination rather than just individual productivity. Zhou asserts that the current proliferation of specialized AI agents accelerates individual output but ultimately fragments team efforts, as each member utilizes AI assistants that drive their tasks independently without centralized alignment.
Cagen reverses the typical human-AI relationship by having AI drive the workflow management and calling on humans for decision-making and judgment only when necessary. Backed by notable investors such as MiraclePlus founder Qi Lu, Zhou predicts this approach will render most current AI agent startups obsolete within three years, as their focus on speeding individual work overlooks the deeper challenge of team synchronization.
Why it matters
By positioning Cagen as an 'OS Level Agent,' Zhou envisions an independent AI infrastructure layer that unifies disparate AI tools and workflows across an organization. Unlike embedded AI features inside siloed apps, this OS approach can bridge fragmented processes across platforms, enabling seamless cross-tool coordination and raising overall team effectiveness.
What to watch next
The coming years will reveal whether Zhou’s assertion that 90% of existing AI agent startups will disappear holds true. Observers should monitor how companies integrate AI beyond isolated tools and whether new platform or OS-level solutions emerge to tackle the longstanding team coordination problem.
Further developments in protocols and frameworks that enable AI agents to communicate and collaborate across platforms, such as emerging standards for multi-agent interoperability, will be critical to watch. The broader AI market’s evolution toward mature coordination solutions like Cagen could reshape expectations around AI’s role from individual productivity booster to a driver of organizational cohesion.