#AIengineering #AIpodcast #AIagents For years, AI content has come in the form of “use this library, use this tool” tutorials that age out within months. Jacob Miller and Jeremy Mumford, co-authors of the brand new Wiley book Architected Intelligence, wanted to write something different, a guide to the higher-level principles of building AI products and AI-first organizations that will still be relevant in five or ten years. In this episode, the two Pattern engineers walk @JonKrohnLearns through the core ideas of their book: why you should design products and processes so they can be executed by a human, an AI agent, or any hybrid combination; why most companies are still treating hallucinations as a model problem when they’re actually a data curation problem; why the natural progression of AI development goes skills, workflows, agents, not straight to agents; and why velocity, not models or data, is the only durable competitive advantage left. This episode is brought to you by: • Cisco: https://agntcy.org/ • Acceldata: https://acceldata.io/ • SuperDataScience: https://superdatascience.com/challenge Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: • (00:00:00) Introduction • (00:10:06) The User Agnosticism Tenet • (00:20:02) The Zillow Offers parable • (00:33:52) Why data engineering is the bedrock of AI • (00:54:41) Why velocity is the only durable moat Additional materials: https://www.superdatascience.com/993