As artificial intelligence agents become increasingly capable of interacting directly with computer systems and software, they are fundamentally reshaping how work gets done. In a wide-ranging discussion, Demetrios Brinkmann and Chris Benson explored the emerging world of computer-use agents—AI systems that can autonomously navigate interfaces, execute tasks, and take action on behalf of users. The conversation illuminated how these agents are already being deployed to automate everyday tasks, from routine data entry to complex multi-step workflows. The hosts delved into the technical infrastructure enabling this shift, including Model Context Protocol (MCP) and agent harnesses that allow models to operate more effectively in real-world environments. Beyond personal productivity, they explored the nascent field of agentic commerce, where agents negotiate and transact on behalf of users, and examined the emerging phenomenon of agent-to-agent interactions—autonomous systems coordinating directly with one another. This technological evolution raises new questions about how enterprises can safely and effectively integrate computer-use agents into existing workflows. A central theme was the tension between capability and complexity: while these agents are increasingly powerful, moving them from pilot projects into enterprise environments presents real challenges around control, reliability, and organizational change. The conversation also highlighted how the relationship between underlying AI models and the agent harnesses that deploy them continues to evolve, with implications for how companies will architect their automation strategies in the years ahead.