Building Real AI Systems: Inside "Architected Intelligence" with Jacob Miller and Jeremy Mumford

In this episode, I crashed Pattern's office to sit down with Jacob Miller (VP of Platform Intelligence) and Jeremy Mumford (Lead AI Engineer) from Pattern to discuss their newly co-authored book, "Architected Intelligence." We dive deep into the reality of building scalable AI systems, explaining why companies cannot simply put an LLM in front of everything. We also explore the importance of curating data to avoid the "semantic swamp," the reality of adapting organizational structures to external marketplace algorithms, and the collaborative process of writing a tech book using AI as an "anti-sycophantic" sparring partner. We also discuss the booming tech and startup scene in Utah, the future of autonomous cloud agents powered by budget-friendly AI models, and more. Buy Architected Intelligence: https://amzn.to/4haOqAr Timestamps 00:00 - Introduction to Jacob Miller, Jeremy Womford, and Pattern's e-commerce accelerator platform 02:52 - Exploring their new book "Architected Intelligence" and its five core components 05:06 - Why relying solely on an LLM to orchestrate processes ruins the core user experience 07:32 - Navigating the "semantic swamp" and the absolute necessity of rigorous data curation 12:15 - Adapting internal organizational architecture to match external marketplace algorithms 14:41 - The collaborative in-person writing process and distilling timeless AI principles 19:32 - Using AI as an aggressive sparring partner for critiquing and brainstorming 24:18 - Navigating the traditional publishing process and selecting Wiley as a publisher 31:18 - The massive growth, talent pool, and community of the Utah tech scene 40:24 - The divergence of AI pricing, budget models versus premium models, and remote agents 45:13 - The authors' favorite chapters: Observability, evals, and building battle-tested AI workflows The Joe Reis Show is invitation-only. Unsolicited guest pitches and PR outreach are not considered.