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26. Greg Nudelman: Author of UX for AI
I spoke with Greg about why so many AI projects fail and what good UX has to do with it. We talked about the real role of research, why empathy beats aesthetics, and how designers can work better with data scientists. Whether you’re building with AI or just trying to make sense of it, this one’s full of hard-earned wisdom.Over the years, Greg Nudelman has contributed to the world through:* 24 design patents* 6 Featured Mobile apps* 6 design books in 3 languages including UX for AI: A Framework for Designing AI-Driven Products (April 2025)* Hundreds of millions in design ROIGreg loves leading UX teams that create the "When can I buy this?" experience for their customers, then nurturing innovative AI/ML-based products to market through creative four-in-a-box collaboration between PM, Data Science, Dev, and UX. As an "Ombudsman of Innovation", Greg's work revolves around twin obsessions: UX for AI and Practical DesignOps to bring customer-empowering ideas to market. Greg is a thought leader on UX for AI, Lean Product Design, Rapid Prototyping, and fast shipping of industry-defining digital products that exceed business goals and blow away customer expectations. Sought-after executive-level keynote speaker, with 100+ keynotes and workshops in 18 countries. Greg's specialty is leading UX teams designing products for Artificial Intelligence, Machine Learning, IoT, Analytics, Mobile, Biotech, Finance, and creating Design Systems for Enterprise Software.___If you, or someone you know, would like to be a guest on the podcast send an email to [email protected].
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25. Nick Cawthon: Founder of Gauge.io
Nick helps design teams stay ahead of the curve with their AI transformation. He has been curating self-assessments for UX & Design Teams at retrain.gauge.io, helping analyze industry trends and any barriers to adoption. Nick founded Gauge in 2001 in the San Francisco Bay Area to help organizations with evidence-based strategy and product decisions. Clients have grown to include Electronic Arts, Genentech, Airbnb, Adobe and many others. Nick is a professor in Data Literacy and Visualization in the Design Strategy MBA program at his alma mater, California College of the Arts. _______I sat down with Nick Cawthon and Casandra Cain to talk about how AI is reshaping UX design, and what that means for mentorship, emotional intelligence, and the future of our field. We explored trust, tooling, education, and why staying adaptable is more important than ever. Parts00:00 Introduction to UX and AI07:32 The Evolution of User Experience14:53 Trust in AI and User Experience18:26 Projects and Practical Applications of UX29:20 The Future of Design and Technology30:15 AI and UX Patterns: Current Trends and Future Directions35:47 Mentorship in the Age of AI: Guiding New Designers41:18 Personal Philosophy: Balancing Anxiety and Optimism45:34 The Importance of UX: Advocating for User-Centric Design49:30 Gage.io: Services and Target Audience Insights____If you, or someone you know, would like to be a guest on the podcast send an email to [email protected].
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24. Dhyey Mavani: Applied computational mathematician and engineer
Dhyey Mavani is a Software Engineer at LinkedIn, where he works on inference optimization for generative AI models within the AI Platforms org. With a rare triple major in Computer Science, Mathematics, and Statistics from Amherst College, Dhyey graduated with two summa cum laude honors theses: one in Mathematics, where he formalized chip-firing games and the Graphical Riemann-Roch theorem using Lean4, and another in Statistics, where he developed a Python package for discrete copula modeling to analyze complex ordinal response data.At LinkedIn, he built and productionized the company’s first PyTorch-Rust model serving engine, reducing GPU costs by ~$1M and powering key recommendation systems. His work stands at the intersection of applied computational mathematics, scalable infrastructure, and human-centered AI—balancing latency, reliability, and ethics.Dhyey is also passionate about EdTech innovation, open-source collaboration, and building systems that are as interpretable as they are efficient—always guided by a belief that great user experiences start with rigorous design and deep empathy.You can find more about Dhyey at linkedin.com/in/dhyey-mavani______If you, or someone you know, would like to be a guest on the podcast send an email to [email protected].
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23. Ryan Junejo: Founder of Crashlabs.ai
Ryan Junejo is co-founder and CEO of Crashlabs.ai.We talked about how his team stress-tests AI agents before they go rogue in the real world, the origin story behind Crash Labs, and why AI safety isn’t just a buzzword, it’s the seatbelt we all need. Ryan shared the surprisingly tricky challenges of testing AI, what it means for user experience, and why his lab might just be the insurance policy the future needs.Parts00:00 Introduction to Ryan Junejo and Crash Labs AI03:09 The Origin Story of Crash Labs AI05:56 Testing AI Agents: The Crash Test Lab Concept09:10 Jailbreaking AI: Patterns and Techniques12:05 AI Safety and Alignment Challenges15:03 Integrating Crash Labs AI into Your Projects17:50 Future of AI Testing and User ExperienceKeywordsAI testing, Crash Labs AI, Ryan Junejo, AI safety, AI agents, user experience, machine learning, startup, technology, innovation
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22. Leia Chavarria-Davila: Founder in AI & Spiritual tech
Leia is shaping a new frontier of AI & spiritual neuroscience—where emotional memory, gentle biosignals, & multimodal models meet the subconscious.Her stealth-stage company explores how imagination stores truth, how technology can hold the nervous system, and how healing can be quietly designed into engineering itself.Ranked in the top 0.004% globally, she studies CS & Economics at UC Berkeley—blending technical elegance with poetic intuition to craft systems that don’t just respond, but remember you.She believes the future belongs to those who protect the part of them that still dreams._____In this episode, we explored how AI is being used in mental health and therapy, from supporting emotional healing to helping users reconnect with their inner child. We discussed the role of crying, nostalgia, and introspection in healing, as well as the challenges of designing emotionally intelligent AI. Consciousness, free will, and the future of AI-driven therapy also came up, blending philosophy, UX, and innovative mental health solutions.Parts00:00 Understanding the Inner Child06:29 Healing Through Emotion and Crying08:52 The Role of AI in Mental Health11:14 Navigating Trauma and User Experience13:53 The Intersection of Spirituality and Technology16:27 The Importance of Emotional Expression18:54 AI as a Tool for Introspection21:15 Building Trust in AI Therapy23:40 The Future of Mental Health Solutions
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