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Home > Super Data Science > 993: How to Build AI-First Organizations, with Jacob Miller and Jeremy Mumford
Podcast: Super Data Science
Episode:

993: How to Build AI-First Organizations, with Jacob Miller and Jeremy Mumford
Category: Business
Duration: 01:10:07
Publish Date: 2026-05-19 11:00:00
Description:

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 Jon Krohn 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.


Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.superdatascience.com/993⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠


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In this episode you will learn:

  • (10:06) The User Agnosticism Tenet
  • (20:02) The Zillow Offers parable
  • (23:25) Why workflows should come before agents
  • (29:57) Why data engineering is the bedrock of AI
  • (52:41) Why velocity is the only durable moat
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