{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Making Sense of Martech","title":"Living Interfaces, OpenAI Collabs, & Enterprise AI with Josh Payne, CEO of Coframe","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/1dc4c36f\"></iframe>","width":"100%","height":180,"duration":1856,"description":"\"We see the future of digital experiences as living — personalized and self-improving 24/7.\" - Josh Payne\nIn this episode, Jacqueline Freedman puts Josh Payne in The Hot Seat to unpack \"living interfaces,\" AI-driven experimentation, and what agentic marketing really looks like in practice. \nJosh shares lessons from collaborating with OpenAI, why most CRO tests fail, and where generative engine optimization (GEO) is headed next. \nWe delve into enterprise realities, including privacy and governance, avoiding spaghetti code, and what a \"living interface\" entails.\nHighlights\nDiscover how \"living interfaces\" adapt websites in real time to lift conversion and usability.\nLearn a practical framework for automating ~90% of the CRO workflow with agents.\nUnderstand when to start with global experiments vs. personalization to reduce data-privacy friction.\nExplore the rise of generative engine optimization (GEO) and why it will rival SEO in influence.\nAdopt guardrails: define measurable evals, keep specs specific, and stay model-agnostic for compliance.\nHear what enterprises actually need from vendors: context, integration, and disciplined measurement.\n\nTimestamps\n03:50 - What \"living interfaces\" are and how they create real-time, self-improving digital experiences\n04:57 - Partnering with OpenAI: visual grounding, UI generation, and early access to models\n11:25 - Why most CRO tests fail—and how AI agents flip the economics of experimentation\n14:50 - What \"agent marketing\" means: automating workflows and scaling high-leverage loops\n17:45 - Common AI pitfalls and why clear goals, specs, and evals matter\n24:20 - Navigating privacy concerns and model choices in enterprise AI\n27:30 - How Josh filters the AI noise and stays sharp\n\nConnect & Subscribe\nSubscribe to Making Sense of Martech wherever you get your podcasts. Follow us on TikTok, LinkedIn, and don't forget to like and subscribe on YouTube.","thumbnail_url":"https://img.transistorcdn.com/2xBD0217Lw_p8ycegYQlNgN3_3yOZ9LCNtHUu1dKlq8/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lZjUz/OGYwZDVlYWU2MzVj/MTA0NjA3Mzc4Zjkw/MTQ0Ni5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}