In this AI First mini episode, Adam Brotman and Andy Sack explore the real-world implications of AI agents through Adam’s hands-on experience building one with OpenClaw.

They break down what makes an agent different from traditional AI tools, including proactive behavior, memory, computer use, and the ability to operate independently. Adam shares both the excitement and the friction, from complex setup and security concerns to inconsistent performance and early-stage limitations. Despite these challenges, the broader implication is clear. AI agents are evolving into digital coworkers that can monitor information, take action, and continuously improve based on feedback.

For executives, this represents a shift away from task execution toward managing outcomes and guiding intelligent systems. The conversation highlights how these tools can increase productivity, reduce manual work, and personalize how work gets done, while reinforcing the importance of control, governance, and trust as adoption scales.

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