Vol.08 Creating Agents with Agents? A Chat with Yunqi Capital's Chen Yu and Creao AI's Kai Cheng on the New Agent Infra Ecosystem

The rapid rise of Manus and Genspark has made Agent one of the most anticipated AI application forms for the general public in 2025. Meanwhile, the Agent development ecosystem has entered a new stage of stronger compatibility and easier deployment, driven by new variables like MCP and Agent-to-Agent protocols.

In this episode, we focus on the Agent topic, inviting Yunqi Capital partner Chen Yu and Creao AI founder Kai Cheng to discuss the present and future of the AI Agent ecosystem, starting from recent hot topics in the AI technology industry.

[Guests]

Chen Yu, Partner at Yunqi Capital

Deeply rooted in frontier technology sectors including AI and embodied intelligence, with representative investments including MiniMax (large model unicorn), DeepRoute.ai (leading intelligent driving company), PingCAP (open-source database unicorn), among others.

Kai Cheng, Founder and CEO of Creao AI

Master's in Statistics from Columbia University, Bachelor's in Mathematics from the University of Toronto. Formerly a mathematical scientist at iPerceptions, where he developed machine learning algorithms for companies including Dell, NASA, and Comcast during his time working in North America.

Creao AI is a startup focused on AI agent infrastructure, providing enterprises with a fully AI-driven Agent operating system that helps corporate clients achieve automated Agent construction and management, facilitating efficient Agent deployment and application.

[Host]

Linda, Managing Director at Yunqi Capital

[Timeline]

Part 1: Recent AI Hot Topics

02:22 Technical side: Functional updates across major models are essentially leaps in underlying model reasoning and planning capabilities, laying the foundation for substantially improved Agent generalization.

05:10 Demand side: The surge in popularity of DeepSeek has accelerated enterprise awareness and acceptance of AI.

06:59 Technical ecosystem: Infrastructure-level innovations like Agent-to-Agent frameworks have brought more convenience for Agent deployment in enterprise settings.

Part 2: 2025, How to Build AI Agent "Infrastructure"?

09:40 Accessible definition of Agent: A "digital employee" that creates actual connections with the external world.

11:28 As Agent development difficulty continues to decrease, what is the value of infrastructure tools?

13:19 "Stability" is a strong demand for enterprise Agent applications — even the simplest Agent needs a stable environment to run.

16:41 Workflow or Agent? Chen Yu: Not mutually exclusive; workflow is a more stable way to open up Agent.

18:23 The main evolutionary thread behind MCP and Agent-to-Agent infrastructure: empowering large model training and upper-layer applications.

Part 3: The Creao AI Story

20:58 Creao AI's PMF exploration: helping enterprises use Agents to build Agents.

24:45 Creao AI customer case: Agent + CRM.

28:45 Changes from the demand side: more and more non-technical people are becoming developers.

30:59 The "mutual choice" between Yunqi Capital and Creao AI.

Part 4: Brainstorming Moment: The Future of Agent-Human Collaboration

34:07 AI's role: an amplifier of human creativity, an accelerator of technological exploration.

36:18 When AI possesses autonomous consciousness, humans need to treat it as an equal species and communicate with it as such.

37:30 Avoiding the rigidity of AI tools: the "AI-ness" behind it is actually human behavior patterns.

Thank you for listening. For more insightful analysis on AI technology, industry trends, and entrepreneurship, follow the WeChat official account Yunqi Capital.

View the transcript of this episode on Xiaoyuzhou.