{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Question: Design System Collaborative Learning","title":"Episode 074 Deep Dive: AI and Design System Visibility with Ben Callahan and Kaelig Deloumeau-Pregent","html":"","width":"100%","height":180,"duration":3121,"description":"Episode 074 Deep Dive: AI and Design System Visibility with Ben Callahan and Kaelig Deloumeau-Pregent\n\nIn this deep dive, Ben Callahan is joined by Kaelig Deloumeau-Pregent—a veteran design system practitioner whose career has spanned the BBC, The Guardian, Financial Times, Salesforce, Shopify, Netlify, and most recently Intuit—to explore the intersection of AI and design system visibility. Kaelig shares how a question raised back in a 2016 design systems symposium (\"If you had a magic wand, what would you change?\") still resonates today: practitioners want more visibility into how their systems are actually being used.\nThe survey was sent to 1,081 design system practitioners and received 78 responses across four questions: current level of visibility into design system asset usage, biggest concerns as AI agents produce content at scale, how the enforcement vs. enablement balance has shifted with AI, and what one thing they'd implement to improve visibility without becoming the \"design police.\" The conversation explores the \"fog of war\" metaphor for incomplete knowledge in systems work, the tension between surveillance and creative freedom, librarians vs. police as governance models, and how AI changes who (or what) is deviating from the system.\nShow Notes\n00:39 — Kaelig's background: from a French web agency to BBC, Guardian, FT, Salesforce, Shopify, Netlify, and Intuit\n06:56 — Becoming a systems thinker before \"design systems\" was a career\n07:38 — The 2016 magic-wand question and why visibility is still the wish\n08:34 — Walking through the four survey questions\n09:22 — Survey methodology: 1,081 practitioners, 78 responses\n10:04 — Reviewing Q1: most teams have manual or partial visibility, very few have robust automated tracking\n12:01 — Visibility isn't just internal; the end customer dimension and zombie code\n12:27 — Q2 results: AI concerns are \"all of the above,\" and Brandon's optimistic reframe\n13:26 — Q3 results: enforcement vs. enablement is balanced, with...","thumbnail_url":"https://img.transistorcdn.com/8ZoZhDyVederAFF-YGuNFdyaUvqzao3a6rYS6VFp3F4/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kMjQ2/MjJjYzdiYmY4MWU0/NGQzMjJmOGUyNzlj/YmMwZS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}