{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Cheat Code & Friends","title":"Taste, Judgment and Scale - Season 5: Episode # 98","html":"","width":"100%","height":180,"duration":2587,"description":"AI can have all the right data and context. That doesn't mean it knows what good looks like.\n\nWhat's missing is taste.\n\nJason Vargas, Co-Founder & Chief Partner Officer at RevShoppe, describes it as the judgment that comes from experience: knowing what good looks like, recognizing when a message will resonate, and being willing to challenge an AI-generated answer instead of accepting it at face value. As companies build AI deeper into their go-to-market motions, Jason believes capturing that judgment may become one of their biggest advantages.\n\nJason joins Sean, Justin and Josh to discuss how companies can actually build a taste layer, who should be responsible for it, and why it needs to evolve alongside the people, buyers and business itself. They also explore what AI means for traditional GTM team structures, how organizations can train agents more like employees, and why scaling AI successfully still requires humans who know what good looks like.\n\nChapters\n00:00 Introduction to the taste layer in AI\n01:56 The importance of judgment in AI systems\n04:00 How organizations can build their taste layer\n07:59 The role of human judgment and experience\n12:01 Challenges in developing the taste layer\n15:48 Organizational structure and AI responsibility\n19:49 Onboarding and evolving the taste layer\n24:00 Digital twins and AI in organizational context\n27:57 Success stories and examples of taste layer implementation\n32:05 Future opportunities and closing thoughts\n\n\nReferences in the Show:\nhttps://councils.forbes.com/blog/ai-is-cool-but-2026s-most-valuable-marketing-asset-is-still-human-taste \n\nhttps://hbr.org/2026/08/ai-is-undermining-leaders-judgment-heres-what-to-do-about-it \n\nQuote of the Show:\n“You have to be able to push back on [AI] and to bring your judgment into whatever it brings back. You have to bring your experience of building companies, running teams, coaching people, whatever. You have to bring that into the conversation with it, and you have to be able to...","thumbnail_url":"https://img.transistorcdn.com/AoPG3flkss3fsfc-m7ywyJ39XTunoIaKRubQ7PAkerg/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lNWVl/YWZiNDRlMGVlYjVi/MmE4MzhjNWQ1ZWMz/NDZmMC5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}