Are AI Operating Systems the New Foundation for AI Agents?

In this conversation, Ryan Staley interviews Alexander De Ridder, founder and CEO of SmythOS, an AI operating system that connects networks via specialized AI agents. They discuss Alexander's journey in the AI space, the lessons learned from competition, the importance of user experience, and the distinction between AI agents and traditional LLMs. Alexander introduces the concept of meta LLMs, which allow for the orchestration of multiple AI models and APIs into workflows, emphasizing the need for flexibility and ease of deployment across various platforms. The conversation concludes with insights into the future of AI agents and their applications in an increasingly omni-channel world. Takeaways SmythOS started as a platform to build AI agents. The better product doesn't always win; ease of use is crucial. Understanding AI workflows is essential for trust and effectiveness. Data governance is a significant barrier to AI adoption. AI agents can automate complex workflows beyond simple tasks. Meta LLMs allow for integration of multiple AI models into workflows. The market is shifting towards omni-channel communication. Companies need to adapt to diverse platforms for customer engagement. Building agents once and deploying them anywhere is key. Learning from past failures is vital for future success. --- Join 3,000+ readers getting weekly practical guidance to scale themselves and their companies using Artificial Intelligence and Revenue Cheat Codes.   Explore becoming Superhuman here: ⁠⁠https://superhumanrevenue.beehiiv.com/subscribe