In this conversation, Henrik Bennetsen and Jeff Linnell explore the transformative impact of AI agents on software and robotics. They discuss the evolution of software from traditional models to more dynamic, disposable forms that adapt to user needs. Jeff shares his extensive background in robotics and automation, emphasizing the importance of human factors in technology adoption. The discussion highlights the shift from dashboards to proactive AI agents that can analyze data and take action autonomously. They also delve into the significance of incorporating tribal knowledge into AI systems and the necessity of building trust through transparency and engagement. The conversation concludes with insights on the future of interfaces in AI software and the evolving landscape of business in the age of AI.

Takeaways

• AI agents can take initiative within workflows.
• Software is becoming more disposable and adaptable.
• The evolution of software requires a participatory approach.
• Robotics deployment faces challenges related to human factors.
• AI agents can proactively solve problems before human intervention is needed.
• Data richness is crucial for effective AI and robotics.
• Institutional knowledge is invaluable for operational efficiency.
• Trust in AI is built through engagement and transparency.
• Interfaces should be flexible and user-driven.
• The landscape of business is rapidly changing with AI advancements.

In the new podcast episode, Henrik sit down with our Technical Product Manager, Fin Elliott, to unpack what came out of it, including:

• A prompt-driven robot simulator that lets our team spin up realistic, vertical-specific demos in hours instead of weeks.
• A compensation review tool built by HR + chief of staff using AI-assisted “vibe coding,” no traditional dev team.
• Examples of going from “idea in Slack” → working proof of concept in front of customers in a couple of days.

In this episode, Henrik chats with Richard Anaya, Formant's Head of AI, about his essay, "Physical AI: From Rules to Principles." They explore topics such as why traditional robots often get stuck in a loop with their rigid rules and how we can transform them by using principles rather than just a series of if–then statements. This shift might just be the key to helping machines thrive in the real world! If you're curious about Physical AI—what it means, why it matters, and where things are headed—this episode is a must-listen!

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