Vercel CEO Guillermo Rauch on the fight to split off models from agents
"The reality is, when you're optimizing for production, you start looking at a price/performance," Guillermo Rauch tells TechCrunch.
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A cloud infrastructure platform CEO discusses the evolution of AI deployment from experimentation to production use, highlighting two major applications: coding agents and internal corporate agents that help companies access and analyze their data more efficiently. The company has developed frameworks to address security and control concerns, allowing agents to operate with restricted data access while maintaining audit trails. A key strategic divide is emerging around whether AI models and agents should remain bundled together or become modular components that can be swapped between different providers, similar to how software engineering has traditionally worked.
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