Beyond The Prompt - How to use AI in your company

Leidy Klotz has spent years studying a simple but overlooked phenomenon: when we try to improve something, our first instinct is to add rather than remove. He shares the Lego bridge experiment that sparked his research and explains how this additive bias scales from small design decisions to entire organizations. Over time, companies accumulate reporting lines, meetings, software, and policies without questioning what no longer serves them. Henrik and Jeremy explore how AI tools intensify this pattern. When generating ideas, launching projects, writing code, or producing content becomes effortless, the temptation to add grows stronger. The cost of producing information drops, but the cost of consuming it rises. Without guardrails, organizations risk what Leidy calls “organizational indigestion.” The discussion moves from insight to implementation. Leidy outlines practical ways to counteract additive bias, including stop-doing lists, default kill dates on projects, and designing environments that make subtraction visible and acceptable. In a world of accelerating AI output, leaders must intentionally decide what to remove, what to protect, and what truly matters. Key Takeaways:  We default to adding, not subtracting When faced with a problem, our instinct is to introduce something new. Subtraction rarely occurs to us, even when removing something would improve clarity and performance. Generative AI amplifies additive bias AI makes producing content, code, and ideas easier than ever. Without constraints, this frictionless creation can accelerate complexity instead of progress. More organizations die from indigestion than starvation Over time, companies accumulate tools, processes, and policies that quietly slow them down. The real risk is often not too few ideas, but too many unexamined additions. Architecture beats willpower Rather than relying on discipline alone, leaders can design systems that encourage subtraction. Stop-doing lists and default expiration dates make removal expected instead of exceptional. Protect what matters before adding more Before introducing new tools, workflows, or AI systems, leaders must define what is already working and worth protecting. Subtraction requires clarity about what should stay, not just what should go. Subtract: amazon/Subtract-Untapped-Science-Leidy-Klotz In a Good Place: amazon/Good-Place-Spaces-Where-Thrive/ Leidy's Speaking: https://leidyklotz.com/ Clip from Bear: Subtract - this is how you do better 00:00 Intro: Our Instinct to Add00:28 Meet Leidy Klotz01:15 The Subtract Idea02:56 Organizations Get Bloated03:49 Scandinavian Design Mindset04:32 New Book: In a Good Place05:59 AI Abundance and Indigestion08:12 Curate Context, Not More11:38 Cues and Stop-Doing Lists15:00 Default Debt and Kill Dates17:10 Odysseus Contracts and Biases21:28 Reengage the Physical World29:17 Bike Shedding and Priorities36:10 Making Is Thinking49:16 The Debrief

Fathom was built on the assumption that transcription would become commoditized and generative models would steadily improve. Rather than training proprietary models, Richard focused on building the infrastructure around them and waiting for model capabilities to reach the right threshold.In this conversation, he explains why AI has made effort and impact harder to predict, and why that shifts product development from roadmap execution toward experimentation. He describes separating an exploratory AI team from core engineering, structuring that team to prototype and write specs, and expecting a meaningful portion of experiments not to work.Richard introduces his Jenga model for AI development, testing different models and use cases to find where resistance is lowest. He also discusses the operational realities of rapid model updates, hallucination rates, and what he calls the LLM treadmill.The discussion explores qualitative QA, organizational design, buy versus build decisions, and why leadership taste plays an increasingly important role as AI lowers the barrier to generating outputs.Key takeaways: Estimating effort and impact is becoming harderAs model capabilities improve quickly, features that require months today may take far less time in the near future. This makes traditional planning assumptions less stable.Product development increasingly resembles R&DWith shifting capabilities and uncertain outcomes, teams must experiment, prototype, and iterate rather than rely solely on long term roadmaps.Organizational structure must reflect experimentationSeparating exploratory AI work from core engineering can allow faster iteration while maintaining stability elsewhere.Rapid model updates create operational pressureFrequent improvements and changing performance levels can require teams to revisit and adjust features more often than in traditional software cycles.Qualitative judgment plays a larger roleAs AI lowers the cost of generating outputs, evaluating quality and deciding what to ship becomes increasingly important.Fathom: fathom.aiFathom LinkedIn: linkedin/company/fathom-video/Richard's LinkedIn: linkedin/in/rrwhite/00:00 Intro: Why AI Breaks Roadmaps00:19 Meet Richard White (Fathom AI)02:16 From Roadmaps to R&D04:49 Designing AI Teams for Speed07:11 The Jenga Model09:56 Failing 50% & AI Team Psychology13:40 LLMs as Interns & Anti-Planning21:01 QA, Data Pain & Developing Taste24:59 Executive Taste & Culture Rules27:20 Reacting to AI Waves28:50 Fathom's 4-Step Product Plan30:47 What New Models Unlock32:13 From Scribe to Second Brain40:32 Build vs Buy in AI45:32 The Debrief

In this episode, Bryan McCann joins Henrik and Jeremy to explore how search is evolving from simple queries into more conversational and agent-driven systems, and why prompting is likely a temporary skill. Bryan shares how his definition of productivity changed as an AI researcher, moving away from doing the work himself and toward designing plans and experiments that machines could run continuously.The conversation expands to leadership and organizational design. Bryan explains why helping others learn how to work with AI became his highest-leverage activity, and offers a simple rule of thumb: try to get AI to do the task first, and treat anything it can't do as an interesting research problem. Henrik and Jeremy connect this to Bryan's view that organizations may increasingly resemble neural networks, with information flowing more freely and decisions less tied to rigid hierarchies.Key Takeaways:Productivity can be measured by machine output, not human effortBryan explains how “keeping the GPUs full” became his primary measure of productivity.Prompting is useful, but likely temporaryThe episode discusses why future systems may rely less on explicit prompts and more on inferred context.Try AI first, then learn from what it can't doTasks AI struggles with can reveal meaningful research opportunities.Leadership is about scaling othersBryan shares how his focus shifted from scaling himself to helping his team increase impact.Organizations may benefit from neural-network-like designBetter information flow and fewer bottlenecks can improve decision-making.YOU: You.comBryan's website: bryanmccann.orgLinkedIn: linkedin/company/youdotcom/00:00 Intro: Keeping the GPUs Full00:22 Meet Bryan McCann: CTO & co-founder of You.com00:43 Why Search Is Breaking - and Why It Becomes a Skill01:41 From Search to Agents03:18 The Case for Proactive, Context-Aware AI04:30 We Don't Need New Hardware - We Need Trust05:43 The Trust Problem of Always-On Listening07:57 Trust as the Real Bottleneck (Not AI Capability)09:52 Delivering Immediate Value to Earn Trust12:13 Business Models and Escaping the Attention Economy17:27 What “Agents” Really Mean - and Why the Term Will Fade20:37 Productivity, Parkinson's Law, and Keeping the Machines Running23:52 Scaling Yourself vs. Scaling Your Team29:57 Building Culture: Automate, Throw Away, Rebuild35:46 Designing Organizations Like Neural Networks45:02 Recruiting for Initiative in an AI-Native Organization49:18 The debrief 

In this episode, Humza Teherany breaks down how he bridges deep technical fluency with strategic leadership at MLSE, home to the Raptors, Maple Leafs, and more. He shares how a vacation turned into an AI reawakening and how that hands-on immersion led to a fundamental shift in how his organization builds and experiments.Humza walks through MLSE's build in a day practice, their internal AI platform, and why speed to prototype now unlocks more than just efficiency. It changes who gets to shape the future. He, Jeremy, and Henrik explore the limits of traditional enterprise AI rollouts and how to build spaces for superusers that enable company-wide transformation. The conversation covers how technical literacy impacts credibility, why idea execution is the new differentiator, and how Humza's five-year-old inspired a bedtime story app powered by AI.Whether you're a CTO, a founder, or just figuring out where to start, Humza makes a compelling case. The best leaders don't delegate this moment. They build.Key TakeawaysLeaders should not delegate the AI momentHumza, Henrik, and Jeremy agree that this is a moment for leaders to be hands-on. The ones who build and explore the tools themselves are the ones unlocking real impact.Technical fluency builds credibility and better decisionsHumza's return to his technical roots has changed how he leads. Understanding how AI works helps leaders earn trust and make smarter, faster choices.Speed enables inclusionMLSE's build in a day model allows more people to contribute ideas and see them turned into real prototypes. Moving fast isn't just efficient - it changes who gets to participate.Empower your superusers firstRather than starting with enterprise-wide training, Humza focuses on enabling the small group already eager to build. That early energy helps drive broader culture change.MLSE: mlse.comLinkedIn: Humza Teherany - LinkedIn00:00 Intro: Humza Teherany and MLSE00:27 The Role of C-Suite Leaders in AI01:08 Reconnecting with Technical Skills02:08 Diving Deep into AI Tools03:03 The Importance of Hands-On Learning04:25 Progression from Consumer to Technical AI Tools07:28 Building a Business Case for AI10:03 Creating a Culture of Innovation14:00 Implementing AI in Business Operations21:05 Challenges and Strategies in AI Adoption26:17 Organizational Structure for AI Success32:02 The Importance of Reviewing and Planning Code33:01 The Future of Solo Developers and New Technologists34:58 Reimagining Company Structures with AI38:55 Key Skills for Future Technology Leaders41:19 Personal AI Experiments and Innovations46:52 Encouraging Creativity in Children with AI49:11 The Debrief

In this teaser, Henrik and Jeremy debrief their conversation with Humza Teherany, Chief Strategy and Innovation Officer at MLSE. They reflect on how Humza rebuilt his technical fluency, why he believes leaders can't delegate this moment, and what it actually looks like to launch an internal AI lab that ships in 24 hours. Full episode out next week.Full episode LIVE NOW. For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

Mikkel B. Rasmussen brings a rare lens to the AI conversation. As an applied anthropologist, he has spent decades helping companies like LEGO uncover what is really going on beneath the surface.In this episode, he shares how deep insight often begins with being wrong, why surprise is the clearest sign you have found something meaningful, and how the pain of not knowing is essential to breakthrough thinking. He also explains how AI is transforming his own research, from pattern recognition to video ethnography, and introduces a provocative idea: Anthropology Without Anthropologists.Jeremy and Henrik reflect on what it means to teach AI how to surprise us, how synthetic data might reshape experimentation, and why better insights begin with better questions.Key TakeawaysInsight starts with being wrongMikkel defines insight as the gap between how we think the world works and how it actually is. Anthropology helps uncover these mismatches, and that is where real breakthroughs begin.Pain is part of the processMikkel and Jeremy both reflect on the emotional struggle that precedes insight. The doubt, sleepless nights, and questioning whether the work will ever come together is not failure. It is a necessary stage of discovery.Surprise is a signalThe moment of surprise, when a new pattern emerges or an assumption is shattered, is at the core of applied anthropology. For Mikkel, it is the clearest sign that you have found something real.AI can accelerate experimentationMikkel shares how AI is already helping his team analyze patterns, run faster experiments, and even conduct interviews that outperform humans in some cases. The goal is not to replace people but to push the limits of what is possible.HARL: humanactivitylab.com00:00 Intro: Why This Conversation Matters00:25 Meet Mikkel: Founder of Human Activity Laboratory01:14 Understanding Anthropology and AI03:32 Applied Anthropology: Tools and Techniques04:56 The Role of Narratives in AI07:06 The Importance of Sensory and Social Dimensions13:06 Case Study: LEGO and the Anthropology of Play21:07 The Role of Surprise in Anthropology27:51 AI and Human Synergy31:26 Exploring AI's Limitations and Potential32:46 Anthropology Without Anthropologists34:17 AI's Role in Generating Insights37:23 Human Bias in AI-Generated Ideas42:05 Synthetic Data and Its Applications47:34 The Future of AI in Anthropology49:25 The Debrief

In this teaser, Jeremy and Henrik debrief their conversation with Mikkel B. Rasmussen, founder of the Human Activity Laboratory. They expected a conversation about AI's limitations, but got a rethinking of insight itself. They explore Mikkel's definition of insight as the gap between how we think the world is and how it actually is, why surprise is a critical signal, and how pain often precedes clarity. They also touch on Mikkel's experiments with AI interviewers that sometimes outperform human researchers, and why this episode challenged how they think about narrative, understanding, and the role of AI. Full episode LIVE NOW. For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

Diarra Bousso returns to Beyond the Prompt to share how she's reprogramming the fashion industry using AI, math, and a relentless spirit of experimentation. From selling AI-generated products before they exist to cutting out waste and wait times, she walks us through a radical new approach to design and operations.She explains how her team uses scientific rigor to test marketing ideas, create on-demand collections, and rethink the traditional fashion calendar. Diarra also opens up about the origin of her experimental mindset, which began during a year of recovery after a life-changing accident, and how that philosophy now shapes her leadership.The episode wraps with reflections on sustainability, mental health, and what it means to build a joyful, human-first company in the age of AI. Diarra shares how she's using AI not just to scale her business, but to reclaim her time, and why her next venture might bring these tools to creators everywhere.Key TakeawaysExperimentation is the foundationDiarra treats her entire business as a lab. Every idea is a test, and her team is trained to think in hypotheses, measure results, and adapt quickly.AI enhances human creativityShe sees AI as a creative partner, not a replacement. It helps her move faster, make smarter decisions, and focus on the parts of design that require real taste and vision.Sell before you buildBy testing AI-generated designs with customers before making anything, Diarra unlocks cash flow, cuts waste, and sidesteps the long timelines of traditional fashion.Sustainability starts with the founderDiarra applies the same mindset to her own life. She's using AI to reclaim time, reduce burnout, and build a business that supports health as well as growth.Website: diarrabousso.comDIARRABLU: diarrablu.com00:00 Intro: AI-Driven Fashion00:13 Meet Diarra Bousso: Founder of DIARRABLU01:43 The Power of Experimentation02:00 A Life-Changing Accident and Recovery04:40 Embracing a Culture of Experimentation06:13 Scientific Approach to Business09:48 Empowering the Team15:03 AI in Fashion Design18:36 Revolutionizing the Fashion Industry28:09 Traditional vs. Digital Fashion Models32:18 Embracing AI in Fashion Design32:49 Collaborating with Retailers Using AI35:06 AI's Role in Prototyping and Design36:58 The Future of AI in Creative Industries39:14 Navigating Resistance to AI48:10 Operationalizing AI for Efficiency52:18 Balancing Innovation and Personal Well-being57:19 Debrief

In this teaser, Jeremy and Henrik debrief their conversation with Diarra Bousso, founder of the AI-first fashion startup DIARRABLU. They reflect on Diarra's use of the word “yet” as a signal of growth, what it means to run a fashion brand more like a lab, and how her team “manages her back” when the ideas overflow. They also explore how AI is reshaping speed, sustainability, and experimentation in the fashion industry, and why your own lived experience might be your biggest asset in an AI-powered world.Full episode dropping next week.  For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

In this episode, Illia Polosukhin joins Henrik and Jeremy to trace the origins of transformers and how practical constraints inside Google led to a breakthrough that reshaped modern AI. He explains why recurrent models were hitting limits, how parallel attention opened the door to scale, and why he believed a major jump in capability was imminent long before the rest of the world saw it.The conversation then turns to the risks and responsibilities of today's AI systems. Illia describes how models can be subtly guided to influence user opinions, why open weights are not the same as truly open models, and how hidden behaviors can be embedded during training. He explains why provenance and verifiable data pipelines matter, especially as AI begins mediating more of the information we rely on.Later in the episode, Illia outlines how blockchain can support trust, identity, and coordination in a future where AI agents act on our behalf. He shares why information is becoming more valuable than money, how ownership of personal AI models will shape user agency, and why domain expertise becomes significantly more powerful when paired with modern generative tools.Key Takeaways:Transformers emerged from practical constraints, not theoryIllia explains that the shift from recurrent networks to attention was driven by speed and parallelization needs at Google, not a desire to invent a new paradigm.AI's step change was foreseeable to early buildersIllia expected a ChatGPT level breakthrough several years before it arrived, based on clear research signals and accelerating model performance.Provenance and trust will define the next phase of AIAs AI systems can be subtly manipulated, Illia argues that verifiable data pipelines and transparent training processes are essential to prevent large scale misinformation.Ownership and identity matter in an agent driven worldIllia believes individuals will soon rely on AI agents that act autonomously, making it critical that users own their models and that interactions between agents are secured and verified.https://near.ai – NEAR AI Cloud and Private Chat products are now live, try them hereIllia's X: x.com/ilblackdragonIllia's Substack: ilblackdragon.substack.comNEAR X: x.com/nearprotocol00:00 Intro: AI and Information Control00:29 Meet Illia Polosukhin: Co-Author of 'Attention is All You Need'01:03 The Evolution and Impact of AI13:24 The Birth of Near AI and Blockchain Integration15:16 Challenges and Innovations in Blockchain and AI22:17 Privacy and Security in AI Applications26:58 Exploring Sleeper Agents in AI29:19 Practical AI Implementation in Teams30:06 AI's Role in Product Development31:41 Challenges and Future of AI in Development36:35 AI and Economic Alignment41:46 The Future of AI Agents44:14 Debrief

In this teaser, Jeremy and Henrik reflect on their conversation with Illia Polosukhin, co-author of the “Attention Is All You Need” paper and founder of Near Protocol. They dig into Illia's early expectations for ChatGPT, why “owning your AI” isn't just a catchphrase, and how blockchain could help protect the information we rely on. They also explore what it really means to work with AI and why your own experience might be more powerful than you think.Full episode dropping soon. For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

In this episode, Christian Keller joins Henrik and Jeremy to explain how world models are shaping the next stage of generative AI. He talks through how AI learns using different types of inputs, and why video adds a sense of continuity, change, and cause and effect that text alone does not provide. Christian shares vivid analogies and clear examples to show what multimodal models make possible.The conversation moves into how AI is now used throughout the research process, from generating synthetic data to evaluating model outputs. Christian shares how this loop is already in motion and how AI is helping scale and accelerate experimentation. He also reflects on the shift after ChatGPT launched, and how that changed the pace and structure of research work.Later in the episode, Christian describes how individual workflows are evolving, and how asking simple questions like “Could AI help with this?” often opens new possibilities. He shares examples from his own work and home life, including how his wife built and graded her own French exercises using generative tools.Key Takeaways:Text removes essential informationChristian explains that text compresses reality and loses detail, context and temporality. Images and video help restore what text leaves out.World models give AI a sense of changeVideo introduces the before and after and how things move or enter a scene. This helps models learn cause and effect and builds more robust understanding.AI helps build AIModels can generate data, evaluate results and support researchers during development. Christian shows how this creates new ways of scaling experimentation and training.Workflows shift when AI handles early stepsChristian shows how tasks like debugging and prototyping change with generative tools, which reshapes roles and opens new opportunities for innovation.LinkedIn: Christian Keller | LinkedIn00:00 Intro: Information Compression00:37 Meet Christian Keller: AI Expert01:13 The Evolution of AI Products02:11 Impact of ChatGPT on AI Development02:38 Understanding PyTorch and Its Role07:41 The Bitter Lesson in AI09:12 Challenges and Future of AI Models18:57 Using AI to Build AI23:25 Innovative Chat Interfaces23:41 Building the Autos Platform24:35 Epiphanies in AI Integration25:18 AI in Entrepreneurial Workflows26:32 Challenges in AI Integration31:15 Bias in AI Models38:06 Debrief  For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

In this teaser, Jeremy and Henrik break down their immediate takeaways from their conversation with Christian Keller, including model fidelity, hallucinations, and the surprising ways AI is already reshaping everyday workflows.Full episode drops tomorrow. For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

Generative AI is moving fast, but most organizations aren't. Tim Creasey and Paul Gonzalez have spent their careers studying why. As leaders at Prosci, they've worked with thousands of teams navigating complex change, and in this episode they share what their research says about the human side of transformation.They discuss why traditional tactics like comms and training break down in the face of rapid AI adoption, and how successful organizations create the conditions for people to actually change. From hands-on leadership and peer-driven learning to the power of experimentation and the ADKAR model, this conversation is packed with practical tools and hard-earned insights.Tim and Paul also explore how AI is reshaping organizational structures, what “exposure hours” reveal about executive readiness, and why culture beats mandates every time. Whether you're leading change or stuck inside it, this episode offers a grounded look at what actually works when everything is in motion.Key takeaways:Bold vision is not enough - it also needs to be balancedThe most effective AI leaders communicate both where the organization is going and what teams are doing right now to get there. Prosci's research shows that near-term clarity matters just as much as long-term ambition.Leaders need to use the tools themselvesTim and Paul introduce the idea of “exposure hours” as a leading indicator of readiness. The more time executives spend actively experimenting with AI, the better positioned they are to lead transformation.Experimentation requires structure and safetyOrganizations can't just tell people to try new things. They need to carve out time, reduce the stakes, and make experimentation a shared and visible part of how work gets done.Real change still happens one person at a timeDespite all the new tech, the fundamentals haven't changed. Individuals need awareness, desire, knowledge, ability, and reinforcement to adopt new behaviors. Prosci's ADKAR model remains essential for making change stick.LinkedIn: Prosci: LinkedInWebsite: Prosci | The Global Leader in Change Management Solutions00:00 Introduction to Change Management and AI Adoption00:25 Meet the Experts: Tim Creasey and Paul Gonzalez01:51 The Challenges of Change Management04:07 Generative AI Transformation: Unique Challenges07:44 Key Ingredients for Successful AI Adoption15:18 Building a Culture of Experimentation20:43 The Role of Leadership in AI Transformation25:54 Future Organizational Designs with AI27:02 Disruptive Organizational Changes28:00 Examples of Innovative Enterprises28:15 Military Analogies in Business29:30 Challenges in Organizational Change30:36 Timeless Principles of Change Management31:36 The Role of Leadership in Change33:13 ADKAR Model for Change35:51 Addressing Resistance to Change40:05 Effective Communication Strategies47:48 Concluding Thoughts and Reflections

Applied Intuition builds the kind of AI you don't see, but can't live without. Co-founders Qasar Younis and Peter Ludwig share how their $15 billion company powers vehicle intelligence across cars, trucks, tanks, mining equipment, and defense systems operating in some of the most demanding conditions on earth.They explain why combining AI with safety-critical systems raises the stakes, how a single mistake can destroy an entire company, and why so many autonomy startups ended up in the “graveyard.” The conversation explores the slow, methodical path to real autonomy, the hidden complexity of machines that run nonstop, and why consumer AI metaphors break down once software meets the physical world.Qasar and Peter also reflect on how Applied uses AI internally, how their principle of “radical pragmatism” keeps innovation grounded, and what it takes to move fast without breaking things when lives and livelihoods are on the line. From six-figure labor shortages in remote mines to the future of defense and logistics, this episode reveals how AI is quietly transforming the physical world — one carefully coded system at a time.Key Takeaways:Safety changes everything about AIWhen AI moves from the screen to the real world, the rules change. Qasar and Peter explain why building for trucks, tanks, and jets demands a different kind of discipline — one where precision and safety replace speed and iteration.The graveyard of autonomy is realThere's a long list of companies that underestimated what it takes to build safe, reliable autonomy. Applied Intuition's founders share what went wrong — and why moving slower has been their biggest advantage.Radical pragmatism is the hidden differentiatorInside Applied Intuition, “radical pragmatism” isn't a slogan — it's a practice. Qasar and Peter describe how it guides product decisions, culture, and leadership, helping them innovate in places where failure isn't an option.The next frontier of AI is off the screenFrom mines to military systems, the future of AI won't be chatbots — it will be machines that think, move, and decide in the physical world. Jeremy and Henrik reflect on how that shift raises the bar for builders, leaders, and the technology itself.Applied Intuition: http://applied.co/LinkedIn: linkedin.com/AppliedX: https://x.com/Applied00:00 Intro: Safety Critical Systems00:33 Meet the Founders of Applied Intuition01:09 Understanding Applied Intuition's Unique Approach03:02 The Human-Machine Teaming Concept07:26 Challenges in Autonomous Driving16:39 AI in Industrial Applications28:27 Future of Fighter Jets and AI29:50 AI in Applied: Coding Tools and Beyond33:16 Radical Pragmatism and AI Integration36:03 Challenges of AI Adoption in Large Organizations39:56 Human and Technical Challenges in AI42:02 Innovation and Organizational Structure48:38 Reflections on AI and Future Prospects

As Head of IBM Consulting, Mohamad Ali led one of the most ambitious enterprise AI transformations to date. By making IBM its own “Client Zero,” his team tested every AI solution internally before bringing it to market. The effort began with massive hackathons involving 150,000 employees, turning curiosity into capability and belief at scale. Mohamad shares how leadership alignment, process redesign, and broad employee engagement drove $3.5 billion in cost savings and renewed growth. Jeremy and Henrik reflect on why IBM's model may signal the next evolution of consulting — where organizations act as their own laboratories for changeKey Takeaways:Start with Yourself: “Client Zero” WorksIBM transformed internally before advising clients, using its own systems as a testing ground. This allowed the team to validate AI tools, workflows, and cultural shifts in real conditions, creating credibility and clarity before going to market.Transformation Needs More Than TechSuccess came from a mix of technical leadership, process redesign, and cultural momentum. AI wasn't just layered on; it was embedded into workflows, backed by leadership buy-in, and powered by 150,000 employees who participated in company-wide hackathons.Digital Labor Is Reshaping Business ModelsIBM automated most transactional HR tasks with AI tools like AskHR, driving a 40% reduction in HR operating costs — a look at how hybrid human–AI teams transform services.Measure and Share the ImpactTransformation became real when IBM tied outcomes to business metrics. By reporting $3.5 billion dollars in savings and tracking results with the CFO, IBM showed how to make AI adoption tangible, accountable, and visible to both employees and investors.LinkedIn: Mohamad Ali - IBM | LinkedInIBM: IBM00:00 Intro: HR Automation00:41 Introduction of Mohamed Ali and IBM's Transformation01:14 IBM's Enterprise Transformation01:41 The Role of AI in IBM's Success03:25 Rejoining IBM: A Strategic Decision04:33 Key Components of AI Implementation07:21 Employee Engagement and Hackathons08:59 Technical Leadership and AI10:37 Global Tax Optimization with AI11:17 Scaling AI Solutions for Clients22:00 Monetizing Digital Labor26:50 Digital Labor and Procurement Projects27:29 Unbundling and Economic Implications28:44 Technological Shifts and Market Expansion30:04 AI-Powered Business Transformations32:22 Case Study: L'Oreal's AI Integration39:13 HR Automation and Cost Reduction42:09 Creative Innovations in AI Applications43:59 Advice for Leaders on AI Integration45:43 Final thoughts

Martin Reeves has spent decades advising CEOs on how to think about strategy. As head of BCG's Henderson Institute, he has built a career challenging leaders to balance efficiency with imagination and to prepare for the next disruptive shift.In this conversation, Martin tells Henrik and Jeremy why AI alone will not give companies an edge and might even strip them of advantage. He unpacks the “two jobs of business”: playing the current game better than anyone else while simultaneously asking what the next game will be. He argues that AI only sharpens this paradox, forcing leaders to think faster, experiment more, and draw on human imagination in new ways.The discussion covers the risks of over-optimization, the future of consulting, and the paradoxes of AI adoption. Along the way, Reeves explains how AI can accelerate exploration, why framing the right questions is the strategist's most important job, and why times of disruption are when number twos become number ones or disappear altogether.Key Takeaways: Strategy is the double gameLong-term success means playing today's game efficiently while also inventing tomorrow's. Henrik and Jeremy stress how rare it is for leaders to do both, yet this is exactly what AI demands.AI efficiency without imagination is a trapAdopting the same tools as competitors drives efficiency but commoditizes advantage. The hosts underline that imagination and unique use are what create real differentiation.The strategist's edge is asking the right questionMartin highlights that strategy starts with framing the real question. Henrik and Jeremy note that questioning and cognitive diversity are crucial in the AI era.Disruption reshuffles winners and losersTimes of change are when number twos become number ones and leaders disappear. The wrap-up emphasizes the urgency of experimenting and adapting now.Human imagination stays essentialAI can accelerate exploration, but creativity, ethics, and originality remain uniquely human — and decisive for future leadership.LinkedIn: Martin Reeves | LinkedInBCG Henderson Institute: Home - BCG Henderson InstituteMartins books: The Imagination Machine // Like: The Button That Changed the World00:00 Intro: Two Jobs in Strategy, Today's Game and Tomorrow's Game01:33 Martin Reeves and the Henderson Institute04:02 Defining Strategy in the AI Era05:12 AI and Human Imagination09:20 Efficiency vs. Competitive Advantage13:18 Organizational Design for the Future23:09 The Paradox of Imagination in Business33:02 Harnessing Serendipity for Innovation35:18 Devil's Advocacy and Meeting Optimization36:51 Where AI Helps and Hurts Organizations38:16 The Limits of AI Training Data42:56 How Martin Uses AI Day to Day47:09 What's the Next Game for Consulting53:15 Final Reflections

Adam Brotman and Andy Sack sit down with Henrik and Jeremy to unpack their book AI First and the framework they have developed for leaders. They argue that AI is not just another technology wave but a leadership reset that demands new playbooks, new structures and new ways of thinking.They explain why AI should be seen as an augmentation of human intelligence, an “Ironman suit” for leaders, and how mindset, experimentation and governance are essential to adoption. The conversation also explores organizational redesign, the role of executives in fostering AI literacy and the urgency of adapting quickly as the technology advances.This episode offers a practical and forward-looking discussion on how leaders can integrate AI across their organizations, build cultures of experimentation and future-proof their businesses in a rapidly changing landscape.Key Takeaways: AI is a leadership reset, not just a technology shift.Adam and Andy argue that AI demands a new playbook for leaders. It is not simply another tool, like mobile or digital before it, but a force that changes how companies are structured, how decisions are made, and how leaders must think about competition.AI should be treated as a co-intelligence tool — an “Ironman suit” for leaders.Instead of replacing humans, AI augments their capabilities. Leaders who embrace AI can make smarter, faster decisions and guide their organizations more effectively. The metaphor of the Ironman suit captures this idea of augmentation rather than substitution.Culture and experimentation matter more than the tools.Mindset, governance, and a willingness to experiment are the foundations of becoming AI-first. Adam and Andy stress that companies need structures like AI councils, experimentation frameworks, and a culture that celebrates rapid prototyping in order to integrate AI across the organization.The urgency is real: companies that delay will fall behind.Jeremy and Henrik underline this in their closing reflections — businesses cannot treat AI as optional or wait for perfect clarity. The pace of change is accelerating, and organizations that don't engage now risk losing ground permanently, while those that act can reinvent themselves and secure long-term advantage.Forum3: Digital Strategy for the AI Era | Forum3AI First book: AI First Book | Forum3Andy LinkedIn: Andy Sack | LinkedInAdam LinkedIn: Adam Brotman | LinkedIn00:00 Intro: The Urgency of AI00:19 Meet the Authors & The Premise of AI First03:43 Defining an AI-Forward Leader05:02 Adoption, Resistance & the AI Wake-Up Call08:01 Why Mindset Matters More Than Tools09:39 Experimentation, Governance & AI Culture14:09 Re-architecting Organizations for AI28:42 Balancing Innovation and Safety35:45 The Evolution of AI Safety37:46 Open Source vs. Closed Source Debate40:07 AI's Role in Organizational Agility41:32 Human Augmentation & Co-Intelligence42:34 The Future of AI and Autonomous Agents46:14 Prototyping, Vibe Coding & Rapid Innovation54:02 The Future of Organizational Design & Final Reflections

In a shift from the usual format, Henrik Werdelin steps into the guest seat—alongside Nicholas Thorne—for a live conversation with Jeremy Utley about their new book Me, My Customer, and AI. They explore what it takes for entrepreneurs to compete in the age of AI — from redefining resourcefulness to thinking like founders, even inside a job.The discussion dives into the book's central frameworks, including the Five Ps (powers, passions, possessions, positions, and potentials) and the “it sucks that…” approach to identifying real problems worth solving. Along the way, they reflect on how AI is changing the leap from idea to execution, why more people may need to think entrepreneurially, and the shift from operating to orchestrating.They also share lessons from the writing process itself—how they tried to use AI, where it fell short, and why Me, My Customer, and AI ends when it does.This episode isn't just about launching a book. It's about rediscovering agency, and the questions we all need to ask when starting something new.Key Takeaways: This isn't a book about AI—it's a book about you.Henrik and Nicholas share how the real questions emerging from AI are deeply human ones. The book focuses first on self-understanding, then on the customer, with AI as the third piece—not the center.The Five Ps framework helps you figure out what to build—and why.Powers, passions, possessions, positions, and potentials offer a structured way to explore personal founder-market fit. It's a tool for generating ideas, but also for stress-testing them.Real problems often hide in plain sight—it just sucks that no one's solved them.Using the phrase “it sucks that…” makes it easier to spot problems worth solving. It's simple, emotional, and sharp enough to cut through vague ideas and find what really matters to people.Entrepreneurial thinking isn't just for founders anymore.In a world shaped by AI agents and fluid roles, more people will need to act like entrepreneurs—taking initiative, connecting dots, and orchestrating rather than operating.Book site: Me, My Customer and AI - The New Rules of EntrepreneurshipBuy the book: Amazon.com: Me, My Customer, and AI: The New Rules of EntrepreneurshipAudos: AudosAudos Instagram: Direct • Instagram Nicholas LinkedIn: Nicholas Thorne | LinkedIn00:00 Intro: The Human Questions Behind AI00:37 Personal Reflections on AI01:26 The Book's Unique Perspective02:55 AI and Human Resourcefulness05:46 Entrepreneurship in the AI Era13:05 The Five Ps Framework23:53 Identifying Real Problems25:39 Why Identifying and Reframing Problems Matters26:27 The Concept of “It Sucks That”27:23 Historical Context and Practical Applications28:22 The Role of Language in Problem-Solving29:43 AI's Influence on Writing and Creativity31:47 Challenges and Limitations of AI in Writing35:38 The Future of AI in Creative Processes43:30 Entrepreneurial Skills for the Modern Era48:26 Audience Interaction and Final Thoughts

Wade Foster, co-founder and CEO of Zapier, joins Henrik and Jeremy to talk about how AI is changing the company from the inside out. He shares the moment Zapier declared a “code red” on AI and the steps they took to turn urgency into action — encouraging more experiments, removing tolerance for inaction, and celebrating wins along the way.Wade discusses his own AI use cases, the importance of internal examples in driving adoption, and why duplication of efforts can speed up learning. He reflects on the leadership challenge of guiding a 14-year-old company through cultural transformation, balancing productivity gains with employee well-being, and preparing for a future where AI agents work with each other.This episode offers a clear, practical look at what it takes to embed AI into an established organization, and keep it moving forward.Key Takeaways:A “code red” can be a catalyst for real change.When Zapier declared a company-wide “code red” on AI, it wasn't just a signal. It pushed people to experiment more, act faster, and rethink established ways of working.Culture is harder to change than technology.The real challenge wasn't getting the tools in place, it was getting people to use them. Zapier's approach focused on rewarding curiosity, sharing internal examples, and removing tolerance for inaction.Duplication can drive innovation.Instead of centralizing all AI projects, Zapier encouraged parallel efforts. When multiple teams tackled similar problems, they often uncovered different and better solutions more quickly.Leadership in the AI era is about speed and sustainability.Henrik and Jeremy highlight how Wade's approach blends urgency with care for the people doing the work. Productivity gains matter, but so does avoiding burnout and making AI adoption last.Zapier: Zapier: Automate AI Workflows, Agents, and AppsLinkedIn: Wade Foster | LinkedIn00:00 Setting Company Culture: Rewards and Tolerances00:43 The Rise of AI at Zapier02:19 Wade's Social Media Presence05:06 Challenges in AI Adoption07:32 Personal Use of AI: Health Tracking10:21 Business Applications of AI13:34 Automating Repetitive Tasks20:35 Voice of Customer Program24:26 Customer Brief Generator33:27 Code Red: Embracing AI35:32 Subtle Encouragement and the Impact of GPT-436:38 Code Red: A Turning Point36:51 Embracing AI: From Fear to Familiarity38:13 The Journey to AI Adoption39:11 Challenges in Organizational Change40:41 Managing Resistance and Encouraging Experimentation43:55 Building a Remote Culture with AI46:29 The Future of Work and AI48:33 Agent-to-Agent Communication51:32 The Importance of Duplication in Innovation56:43 Final Thoughts 

In this episode, Evan Ratliff, journalist and creator of the podcast Shell Game, shares the wild and personal story behind his experiment in AI voice cloning. What began as curiosity turned into a six-month dive into building an AI version of himself—one that could answer phone calls, conduct interviews, and even fool friends and family. From scamming the scammers to testing AI therapy, Evan walks us through what it's like to put a synthetic version of yourself into the world and watch how people respond.The conversation explores the uneasy collision of identity, automation, and ethics. Evan talks about the emotional reactions people had when they realized they weren't actually talking to him, the disturbing effectiveness of AI in fraud, and the strange intimacy of hearing your own voice say things you didn't write. He also reflects on what it means to resist optimization—not because tech can't help, but because some parts of life aren't meant to be outsourced.This episode is a human story wrapped inside a technological one—about trust, loneliness, and how we navigate a world where even our voices aren't entirely our own.Key takeaways: AI voice agents challenge more than trust—they challenge identity.Evan's experiment revealed just how disorienting it is when people hear your voice and think it's you—only to realize it's not. The emotional impact was real: friends felt tricked, disconnected, and in some cases, deeply lonely.Scammers are already using AI—and they're getting better at it.Far from being hypothetical, AI-powered scams are already widespread and industrialized. Voice cloning isn't just a curiosity—it's a weapon, and we're all potential targets. A family safe word might be your best defense.Not everything should be optimized—and maybe that's the point.Evan pushes back on the idea that life should be frictionless. In the pursuit of efficiency, we risk removing the small, inconvenient interactions that actually make life meaningful—like small talk, shared confusion, and human error.This moment feels like early social media—and we should be paying attention.Henrik and Jeremy reflect on the eerie parallels between today's AI boom and the rise of the social web. Back then, few anticipated the long-term impact on mental health and connection. With AI, we may be walking into similar territory—unless we ask harder questions now.LinkedIn: Evan Ratliff | LinkedInWebsite: Evan Ratliff – JournalistShell Game Podcast: Shell Game | Evan Ratliff00:00 Intro: Thoughts on AI Deception00:40 Meet Evan Ratliff: Technology, Crime, and Identity01:13 The Shell Game Podcast: Exploring AI Voice Cloning03:50 Challenges and Improvements in AI Voice Technology04:57 Inspiration Behind the Voice Cloning Experiment11:05 Practical Applications and Ethical Considerations17:31 AI in Scamming: Risks and Realities25:04 Protecting Yourself from AI Scams27:49 Reflecting on Technological Change and Human Adaptation29:59 The Reluctance to Embrace New Technology30:36 The Dangers of Social Media31:59 AI in Therapy and Personal Experiences33:39 Creating an AI Agent of Yourself38:09 The Challenges of Small Talk with AI38:55 Personal Tech Stack and AI Usage42:59 Balancing Efficiency and Meaningfulness45:32 The Future of AI and Human Interaction52:18 Concluding Thoughts and Reflections

In this episode, Jeff Benjamin, Global CCO of Tombras, shares how AI helps him get unstuck, build confidence, and push bold ideas forward—even when self-doubt creeps in. From romcom scripts to Arby's pitches, he shows how AI acts as a sparring partner: sharpening thinking, stress-testing ideas, and keeping momentum alive.We get into what separates distinct from generic, why affirmation can be a trap, and how the urge to share is still at the heart of creativity. If you're chasing big ideas—or just trying to beat the blank page—this one hits home.Key Takeaways:Affirmation builds momentum—but can also blind you — One of AI's biggest features is how confidently it backs you up. That “glazing” energy feels great—but if you don't challenge it, you risk falling in love with something average. Confidence needs a counterbalance: taste.The best prompt is a person—not a question — Jeff gets better output by asking AI to role-play voices he respects—like Don Draper or a cold war-era Olympic judge. The magic isn't in better instructions. It's in asking from a more interesting perspective.Your idea is ready when it bubbles over — Jeff doesn't go to his team with half-baked concepts. He waits until the idea is bubbling—when he can't not share it. That moment is emotional, not procedural. AI helps him reach it faster—but the instinct to share is still deeply human.Big ideas have width—AI helps him see the shape — For Jeff, a great idea isn't a line—it's a landscape. If it's a real “big idea,” it spawns more ideas: social angles, activations, scripts. AI helps him test whether a concept has legs—or if it's just a clever line with no room to run.Jeff's LinkedIn: Jeff Benjamin | LinkedInTombras: Tombras | Full-Service Independent Advertising Agency00:00 Overcoming Self-Doubt in Business00:37 Meet Jeff Benjamin: Creative Leader at Tombras00:56 The Role of AI in Creative Processes02:24 Using AI as a Sparring Partner04:34 Practical Examples of AI in Action09:31 The Impact of AI on Team Dynamics11:37 Balancing AI and Human Creativity14:13 The Future of AI in Creative Industries21:06 Exploring Human Skills for AI Mastery22:09 The Art of Asking Better Questions22:40 AI as a Creative Partner24:41 The Excitement of Sharing Ideas30:09 Generational Differences in AI Interaction32:35 The Risk of AI Dehumanization38:19 Concluding Thoughts

In this episode, Joshua To, VP of Product Design at Meta, shares how AI is reshaping how—and where—we interact with technology. He walks us through Meta's evolving approach to AR and wearables, why notifications are still the killer use case, and how AI is becoming the “brain behind empathy.”We dig into what it means to build interfaces that understand you, why audio might be the future's most underrated platform, and how designing for emotion changes everything—from form factor to function. Joshua also reflects on his path from launching a clothing brand to leading design at Google and Meta, and what those worlds taught him about craft, context, and human-centered systems.This one's for anyone designing AI into the real world—where every interface choice carries weight, and intelligence starts with listening.Key takeaways: Empathy Is the Real Intelligence — Joshua flips the definition of smart tech. It's not just about outputs—it's about understanding you. Context, tone, emotion—that's what great AI will sense and respond to.Design for the Moment, Not the Feed — AR's killer use case isn't games—it's restraint. Joshua shares why the best AI product might just be the one that knows not to ping you. Context-aware computing is the real unlock.Audio Is the Interface to Watch — Forget screens. The most powerful interface might be your ears. From wearables to ambient signals, Joshua explains why audio design is the next big frontier for human-centered AI.AR Isn't a Feature—It's a System of Consideration — Joshua reframes augmented reality as quiet, ambient infrastructure. The real power of AR isn't spectacle—it's subtlety. It helps you move through the world with less friction, not more.LinkedIn: Joshua To | LinkedInWebsite: Home - Joshua ToMeta: Meta Careers00:00 Intro: Fixing Notifications With AI00:54 Meet Josh: VP of Product Design at Meta02:06 From Hoodies to Hardware: Josh's Journey03:53 The Google Experience: From Ads to Product Management10:37 The Evolution of Google Glass and AR19:12 The Role of AI in Josh's Career22:25 Designing the Future: AR, VR, and Attention Management32:49 Contextually Aware Suggestions33:38 Leveraging Generative AI in Design34:52 AI's Role in Concept Art and Storyboarding41:24 AI Tools and Model Capabilities45:54 The Future of AI and Wearables51:58 Reflections and Takeaways

In this episode, Greg Shove, CEO of Section and founder of Machine and Partners, joins us for a "where are they now" follow-up—and doesn't hold back. Greg walks through the rise of Pro AI, his new AI-powered coach, and why traditional upskilling is already obsolete.We explore the overlooked friction points in AI adoption, from cultural taboos (“it feels like cheating”) to failed enterprise rollouts. Greg challenges the prevailing mental models and warns that the real upheaval is still ahead: business model disruption, not product disruption.From royalty-based agents to outcome-based pricing, Greg lays out why service-heavy industries—from law firms to SaaS—are heading for a margin-crushing future. Plus: the moral responsibility of CEOs, the fallacy of lifelong learners, and why working with AI means holding onto your own judgment.A sharp, honest look at what it really means to work smarter—not just faster—in the age of AI.Key takeaways:AI use is no longer optional—it's the new baseline.Proficiency with AI tools isn't a competitive edge anymore—it's a basic requirement. Greg argues that “being in the AI class” is now table stakes, and organizations must rapidly close the gap between aspiration and actual adoption.Business model disruption will hit harder than tech disruption.Greg makes a compelling case that AI's biggest impact won't come from the tools themselves, but from entirely new ways of charging for value—like outcome-based pricing and AI-native service models that undercut human capital costs.Leaders must shift from AI policies to AI manifestos.Adoption is stalling because organizations lead with fear. Instead, Greg urges leaders to clearly message that using AI is smart, encouraged, and expected—and to model that behavior themselves.Most people won't be lifelong learners—so give them outputs, not courses.With Pro AI, Greg confronts a hard truth: most users don't want to learn; they want results. AI-powered coaching that delivers outcomes—not just education—is the future of upskilling.Linkedin: Greg Shove | LinkedInWebsite: Greg Shove | AI Strategist & Keynote Speaker for Enterprise LeadersSection: Section | AI workforce transformation for real ROIMachine & Partners: AI Consulting Services | Machine and Partners00:00 Embracing AI: Changing Work Culture00:29 Introduction: Meet Greg Shove01:10 AI in Daily Work: Tools and Changes03:59 Business Model Disruption: The Next Big Shift12:45 Training and Adoption Challenges19:14 The Future of Work: AI's Impact on Jobs32:02 Leadership and AI: Strategies for Success35:20 Embracing AI in the Workplace36:51 Workflow Redesign with AI39:39 The Role of AI Agents40:12 Challenges in AI Adoption45:14 Pro AI: The AI-Powered Coach51:03 Disrupting Business Models with AI57:52 Cognitive Offloading and AI01:03:02 Final Thoughts and Reflections

In this episode, John Waldmann, CEO of Homebase, shares how the 10-year-old SaaS company blew up its roadmap and rebuilt around AI—from culture to code. He walks us through the shift from 20-page PRDs to lightning-fast demos, reclaiming product leadership, and pushing teams into their “oh shit” moment with AI.We explore the leadership reckoning, cultural resistance, and practical playbook behind the transformation—and what it means for the future of SaaS, small businesses, and human-centered AI. If you're leading (or bracing for) an AI shift, this one's packed with hard-earned lessons and honest insight.Key Takeaways: You Can't Wait for Buy-In—Leadership Means Pushing the Shift — John didn't wait for excitement or alignment—he took back product leadership and forced the move toward AI. It wasn't about consensus, it was about momentum. If you're leading a team through this kind of shift, your job isn't to ask for permission—it's to create urgency before it's obvious.Speed Over Specs — Prototypes Are the New Strategy — Homebase moved from 20-page PRDs to live demos built in hours. That switch didn't just make shipping faster—it changed the way teams learn, think, and listen to customers. The takeaway? Stop planning in the abstract. Ship something real, now.Culture Is the Real AI Roadblock — The hardest part of going AI-first isn't tech—it's trust, fear, and inertia. From engineers to support teams, John had to help people reach their “oh shit” moment with AI. That's when change sticks. Until then, it's just optional homework. Leaders need to make adoption inevitable.AI Should Bring You Closer to Your Customers, Not Farther — This episode isn't about chasing shiny tools. It's about using AI to reduce the noise—so your team can focus more on humans, not less. For John, pragmatic AI is about freeing up time, getting closer to customer problems, and making the org feel smaller, not colder.LinkedIn: John Waldmann | LinkedInHomebase: All-in-one Employee Scheduling, Time Clocks, Payroll, & More | Homebase00:00 Introduction and Initial Reactions to AI00:31 Meet John Waldmann and the Story of Homebase00:53 Reinventing Homebase as an AI-First Company01:46 From PRDs to Prototypes: Building Faster, Learning Smarter05:02 How AI Is Reshaping the Customer Experience09:19 Culture Shock: Resistance, Skepticism, and AI Adoption14:03 The End of SaaS as We Know It?19:34 Leading Through Disruption: Ownership, Urgency, and Org Design25:12 Forcing the Shift: Getting Teams to Embrace AI27:50 Hiring the Unemployed—and Other Nontraditional Talent Bets28:56 Curiosity > Credentials: What to Look for in AI-Ready Teams31:57 New Expectations, OKRs, and Holding Teams Accountable37:10 Serving Small Businesses Better with AI44:52 Final Thoughts: Team Dynamics, Founder Risk, and What's Next

In this episode, Joshua Wöhle, co-founder and CEO of Mindstone, joins us to explore how organizations—and individuals—can move beyond basic AI automation to truly augment their thinking and workflows. Joshua shares his personal systems for spotting high-leverage automation opportunities, including his weekly rituals that keep him ahead in the fast-evolving AI landscape.We dive into how Joshua uses AI as a thinking partner, from critiquing sales emails to shaping company strategy—illustrating that AI isn't just about doing things faster, but about doing them better. He breaks down the concept of the utility threshold, explains why iteration is key to unlocking AI's value, and reveals how non-technical teams can build bespoke internal tools without writing a single line of code.The conversation also highlights why HR—not IT—is the real power player in driving AI adoption, and how the shift from traditional SaaS to custom-built solutions is reshaping the future of work. Plus, Joshua reflects on his entrepreneurial journey—from scaling a 200-person company to running a lean, AI-augmented team at Mindstone.Whether you're curious about turning AI into your strategic ally, or wondering how to help your organization embrace AI beyond the buzzwords, this episode is packed with practical insights, mindset shifts, and a glimpse into what's next in AI-powered productivity.Key Takeaways:AI's Real Value: Augmentation Over Automation — Joshua explains why the biggest win with AI isn't cutting tasks—it's using AI to amplify your thinking. If you're only automating, you're missing out on AI as a creative and strategic partner.Crack the Code on the "Utility Threshold" — AI should save you time or improve outcomes. If it doesn't, you haven't hit the utility threshold yet. Joshua shares how to spot when AI becomes truly useful—and how small tweaks can unlock massive gains.Why You Should Build, Not Buy (No Coding Needed) — Forget pricey SaaS tools. Joshua reveals how anyone—yes, even non-tech teams—can quickly build custom AI solutions that fit their workflow, saving time, money, and boosting flexibility.HR: The Unexpected Hero of AI Adoption — It's not your CTO driving AI success—it's HR. Joshua makes the case for why empowering people, not just deploying tech, is key to creating AI-augmented teams that thrive in the future of work.LinkedIn: Joshua Wöhle | LinkedInMindstone: Mindstone - Empower Your Team with Practical AI Skills00:00 Introduction to Joshua Wöhle and Mindstone01:10 Personal Practices for Automation02:35 Early Wins in AI Automation11:23 Levels of AI Proficiency14:59 Utility Threshold in AI24:51 AI in Organizational Structures33:21 Introduction to the Early Space and AI Integration33:45 Joshua's Entrepreneurial Journey and AI Augmentation34:37 Challenges and Breakthroughs with AI35:32 The Evolution of Building with Generative AI37:56 The Future of SaaS and Internal Development40:34 Practical Examples of AI Implementation50:14 The Importance of Iteration and High-Value Tasks54:56 Concluding Thoughts and Reflections

In this episode, Nicholas Thompson, CEO of The Atlantic, offers a sweeping and deeply personal exploration of how AI is reshaping creativity, leadership, and human connection. From his daily video series The Most Interesting Thing in Tech to his marathon training powered by ChatGPT, Nicholas shares how he integrates AI into both work and life—not just as a tool, but as a thought partner.He reflects on the emotional complexity of AI relationships, the tension between cognitive augmentation and cognitive offloading, and what it means to preserve our “unwired” intelligence in an increasingly automated world. The conversation ventures into leadership during disruption, the ethics of AI-generated content, and the future of journalism in a world where agents may consume your content on your behalf.Nicholas also shares how he's cultivating third spaces, building muscle memory for analog thinking, and encouraging experimentation across his team—all while preparing for an uncertain future where imagination, not automation, might be our greatest asset.Whether you're a tech-savvy leader, a content creator, or just trying to stay grounded in the age of generative AI, this episode is full of honest reflections and hard-earned insights on how to navigate what's next.Key Takeaways:Your “unwired” intelligence is your AI superpower — The more human skills you build—like deep focus, emotional presence, and analog thinking—the better you'll be at wielding AI. Thompson argues that cultivating these unwired abilities isn't just about staying grounded—it's about unlocking the full potential of the tools.Don't fight the storm—gear up and adapt — AI is already transforming media and creative industries. Thompson compares it to a coming storm: you can't stop it by yelling at the clouds. Instead, embrace it, understand it deeply, and make strategic decisions based on where it's heading.Leadership means showing, not just telling — As a CEO navigating disruption, Thompson doesn't just advocate for AI exploration—he models it. From training staff on GPTs to walking the halls and testing ideas live, he treats leadership as a practice of visible experimentation and continuous learning.AI relationships can't replace real connection—but they can confuse it — Whether it's logging meals with a bot or losing a personalized Enneagram coach to a reset, Thompson highlights the emotional pull of AI and the dangers of relying on digital companions over human ones. Staying socially connected, especially through “third spaces,” is more important than ever.LinkedIn: Nicholas Thompson | LinkedInThe Atlantic: World Edition - The AtlanticWebsite: Home - Nicholas ThompsonX: nxthompson (@nxthompson)Strava: Cycling & Biking App - Tracker, Trails, Training & More | StravaCaitlin Flanagan – Sex Without Women: Article:SexWithoutWomen-TheAtlantic00:00 Introduction to Nicholas Thompson00:11 Navigating the Information Overload01:10 Daily Tech Insights and Tools02:10 Using AI for Content Creation04:39 AI as a Personal Trainer08:02 Emotional Connections with AI12:12 The Risks of AI Relationships16:17 Preparing for AGI and Cognitive Offloading30:26 AI's Impact on Leadership31:10 Navigating AI Competitors32:01 Internal AI Strategies32:49 Ethical Considerations in AI Usage34:07 AI in Journalism and Writing36:32 Practical AI Applications40:27 Balancing AI and Human Skills49:27 Future of AI in Media53:50 Final Thoughts and Reflections

In this episode, Devin McNulty, founder of Funmentum Labs and creator of Funware, joins us to explore what happens when you treat fun not as fluff—but as a powerful lever for doing serious work.After 15 years of leading high-stakes strategy and innovation workshops for Fortune 500 teams, Devin set out to scale his approach. The result: Funware, an AI-powered facilitation tool that helps hybrid teams run faster, more creative workshops—without needing a pro facilitator in the room. He shares how it works: from AI that rephrases vague challenges into crisp prompts, to bots that throw out just-bad-enough ideas to unlock new thinking.We dive into the deep end of design choices—why Devin treats AI like a co-facilitator, not a thought partner, and how he builds in levity and timing to shift posture in skeptical rooms. He talks about “pre-training” AI the same way you'd brief a human teammate, and what it means to productize your own facilitation brain.The conversation is also a blueprint for AI-first entrepreneurship: how to turn creative intuition into software, how to build with (and not for) users, and how to design tools that spark real interaction—not just outputs.Whether you're leading workshops, building internal tools, or trying to make your team more idea-generative, this episode is packed with insights on creative AI, team dynamics, and the future of facilitation.Key Takeaways:Fun Is a Strategic Tool—Not a Distraction – Devin challenges the assumption that “fun” and “serious work” are at odds. His facilitation method uses play to unlock alignment, compress timelines, and spark better ideas—especially in rooms that normally resist creative approaches.AI Can Facilitate, Not Just Assist – Most teams use AI as a solo tool or sidekick. Devin flips the script—designing AI to act like a group facilitator. Funware injects prompts, rephrases challenges, and even drops well-timed bad ideas to shift group dynamics and drive progress.Pre-training Your AI Is Like Prepping a Human Teammate – One of Devin's biggest insights: treat your AI agents like collaborators. Build them with clear intent, layer in prompting strategy, and fine-tune them for the moment they'll be used—just like you'd brief a co-facilitator before a workshop.Productizing Yourself Is the New Playbook – Devin's journey is a case study in AI-first entrepreneurship—turning deep craft into software. His advice? Start with your workflow, atomize it into repeatable components, and build tools that deliver value with the push of a button.Website: Funmentum™ LabsLinkedIn: Devin McNulty | LinkedIn00:00 Intro to Funmentum Labs & Funware00:38 Why Fun Is a Powerful Work Strategy01:41 Overcoming Skepticism in Serious Workplaces02:27 Techniques to Engage Resistant Teams06:32 Can AI Be Funny? Humor in Corporate Settings08:03 How Funware Uses AI to Drive Group Creativity11:43 Automating Workshops with AI-Powered Prompts14:04 Devin's Path from Facilitator to AI Builder16:21 Advanced Prompting Techniques in Funware28:34 Creative Prompting: Logos, Personas & Play30:04 Exercises to Push Beyond Obvious Ideas31:35 How AI Unlocks Group Innovation36:55 Pre-Training AI for Better Collaboration43:35 Using AI as Muse, Challenger & Focuser48:46 Final Thoughts

In this episode, Mihir Shukla, CEO and Chairman of Automation Anywhere, shares what it takes to build an autonomous enterprise—where AI doesn't just assist work, but actually does it. With over 300 million AI agents already running on their platform, Mihir argues the future of work isn't ahead of us—it's unfolding now.We explore how Automation Anywhere is reimagining its own operations, automating everything from tax to customer service, and how other companies can do the same. Mihir shares a playbook for identifying high-impact automation opportunities and overcoming the cultural inertia that holds teams back.The conversation also zooms out: from the global productivity crisis and shrinking workforce to the ethical responsibility of upskilling at scale. Mihir shares powerful stories from communities that went from minimum wage to six-figure AI careers in just months—and reminds us what's at stake if we don't move fast.If you're rethinking how work gets done, this episode is a blueprint for what's possible.Key Takeaways:Don't Wait for the Future of Work—Build It - Mihir's team is already running 300 million AI agents across global enterprises. From automating 90% of tax operations to generating CEO-ready briefings on the fly, he shows how much of today's work can be autonomous—and how fast it's scaling.Stalled Productivity? AI Is the Only Way Through - Despite $40 trillion in global IT spend, productivity hasn't improved since 2008—and now the workforce is shrinking. Mihir argues that doubling productivity isn't a moonshot—it's an economic necessity, and AI is our best shot.Change Doesn't Come from the Top—It Starts with Teams - Transformation doesn't begin in the boardroom. Mihir shares how just 2 out of 10 employees experimenting with AI can ignite org-wide momentum—if they're given ambitious goals, proper training, and permission to lead.Upskill the World, One Community at a Time - From the Mississippi Delta to Nepal, Mihir's upskilling efforts prove that AI fluency doesn't require a degree—just access. With the right training, someone flipping burgers can land a $120K AI job in three months. Talent is everywhere. Opportunity isn't.LinkedIn: Mihir Shukla | LinkedInAutomation Anywhere: The Leading Agentic Process Automation System | Automation Anywhere00:00 Introduction to Mihir Shukla & Automation Anywhere01:20 Vision for Autonomous Enterprises03:03 Reimagining Work Processes04:17 Principles of Automation06:12 Challenges and Solutions in AI Adoption09:15 The Importance of AI in Modern Workplaces21:31 Studying and Rethinking Work26:55 The Challenge of Adapting to AI-Powered Workflows27:55 The Impact of AI on Task Management31:24 AI in Customer Service and HR Operations33:03 The Strategic Value of AI in Finance37:30 The Social Impact of AI and Upskilling Initiatives40:40 Final Thoughts and Takeaways 

In this episode, Eric Porres, the newly appointed Global Head of AI at Logitech, walks us through his mission to transform a 7,000-person organization into a team of AI-fluent knowledge workers. He shares what his first 100 days looked like—from running a company-wide GenAI survey to personally training over 800 colleagues—and how those efforts laid the foundation for a scalable, human-centered AI strategy.Eric talks about building a culture of “augmented intelligence,” not just through tooling, but through habits, champions, and real behavioural change. He shares practical frameworks—like using AI to improve your prompts, embracing long-form instructions, and designing with role-context-task-output in mind—and explains why measuring success goes beyond usage stats to include depth of interaction and employee NPS.The conversation also looks ahead to the agentic future: personalized AI teammates, embedded workflows, and custom knowledge bases. Whether you're leading AI at a global company or just trying to help your team get started, this episode is full of real-world insights on how to move from AI hype to meaningful adoption.Key Takeaways:AI Fluency Starts with Behaviour, Not Just Tools – Eric's approach isn't about pushing more AI - t's about teaching people how to think differently. From measuring conversation depth to rewriting prompt habits, Logitech is focused on real behavioural change.Train 800, Influence 7,000 – Before becoming Head of AI, Eric trained 800+ colleagues himself. That grassroots effort - combined with identifying “quiet champions” across teams- created the internal momentum for company-wide transformation.Build the Right Interface, Not Just the Right Model – A powerful insight: it's not which model you use, it's how people interact with it. Logitech prioritized intuitive, user-friendly AI experiences to meet employees where they work.From Individual Fluency to Agentic Teams –  Looking ahead, Eric envisions a world where employees work alongside custom AI agents. The future isn't just prompt mastery - it's knowing what to delegate, what to own, and how to manage an AI-augmented team.LinkedIn: Eric Porres | LinkedInLogitech: logitech.com/Eric's website: PorresPsychedelic GPT: Trippin' The Chat FantasticThese screenshots showcase how Eric Porres organizes AI research using NotebookLM, as discussed in the episode.NotebookLM Dashboard: NotebookLM Dashboard - Eric PorresNotebookLM Research: NotebookLM Research - March 9-15, 2025 00:00 Intro to Eric Porres 00:46 What the First 100 Days Look Like as Head of AI01:51 Measuring AI Adoption: Surveys, Usage & Quality05:34 Training 800 Colleagues: How Eric Taught AI Mastery19:50 From Side Role to Head of AI: Eric's Transition Story23:02 Scaling AI Across Teams: Tools, Access & Equity28:56 Choosing the Right Model for the Right Job30:28 Measuring Success: NPS, Feedback, and Real Usage32:05 The Rise of AI Champions and Teaching as Proof of Mastery34:31 Beyond Fluency: Preparing for the Agentic Future36:45 Atomizing Workflows: Making AI Work for You39:10 AI in Sales & Customer Service: The Agent Use Case43:26 Personal Knowledge Bases and AI-Augmented Thinking50:49 Final Thoughts and Takeaways 

In this episode, Blair Vermette, founder of Rabbit Hole, shares his remarkable journey from traditional television production to the forefront of AI-powered creativity. Initially sceptical - frustrated, even - by AI's impact on creative industries, Blair found himself at a crossroads. Instead of resisting, he leaned in, exploring AI's potential and ultimately redefining what was possible in storytelling.Blair walks us through the creation of his viral Adidas spec ad, Floral, the project that propelled him into the AI spotlight and reshaped his career. He discusses the challenges of scaling Rabbit Hole, the unpredictability of AI-generated content, and how his background in editing and directing gave him a unique edge in the space.A natural storyteller, Blair introduces his philosophy of “breaking the spine”-thinking conventional story structures to craft unexpected, engaging narratives. He also shares insights on curation vs. creation, the role of human instinct in working with AI, and the future of creativity in an era where technology is rapidly changing the game.Key Takeaways:Curation is as Vital as Creation – AI doesn't replace creativity; it enhances it. Blair emphasizes that knowing how to curate and refine AI-generated content is just as important as generating it.Spec Ads Can Open Doors – Blair's Adidas Floral campaign proved that self-initiated projects can be career-defining, attracting industry attention and unlocking new opportunities.Instinct and Storytelling Still Matter – While AI can generate stunning visuals, human intuition, taste, and storytelling structure remain irreplaceable in making content truly compelling.Adapting to AI is Crucial for Creatives – AI is reshaping creative industries, and those who embrace experimentation and evolve their skill sets will be best positioned for success.Breaking the Spine Unlocks Originality – Blair challenges traditional storytelling structures by disrupting linear narratives, starting in unexpected places, and reshaping story arcs to keep audiences engaged.Adidas Spec Ad: BlairVermette/AdidasAdBlair's Instagram: Blair Vermette (@_blairvermette) • Rabbithole: RABBITHOLE | creative studioLinkedIn: (10) Blair Vermette | LinkedIn00:00 Introduction to Blair and Rabbit Hole00:25 Blair's Journey into Generative AI01:53 The Impact of Generative AI on Creativity04:35 Creating 'My Name is Gary'07:51 The Cost and Constraints of Traditional Animation14:38 The Making of the Adidas Spec Ad19:02 The Viral Success and Its Aftermath24:08 Scaling Up to Meet Demand27:20 The Dilemma of Building a Team 28:55 The Importance of Instinct and Originality29:48 Professionalism in Creative Work30:16 Leveraging AI in Storytelling34:50 The Value of Obsession and Specificity36:02 Entrepreneurial Ideas for Creative Growth44:02 Breaking the Story Spine48:18 Navigating the AI Transition50:58 Final Reflections and Encouragement

Key Takeaways:AI expands artistic freedom, not replaces artists – AI removes physical limitations, allowing artists to create purely from imagination. But vision, composition, and storytelling remain essential—great art is still shaped by human experience.Surprise fuels creativity – Whether capturing an unexpected moment in street photography or experimenting with AI-generated images, Boris believes that embracing the unpredictable is key to artistic innovation.AI isn't photography—it needs its own category – Boris argues that AI-generated images aren't made with light and shouldn't compete in photography contests. Instead, he calls for a new category—promptography—to recognize AI's distinct creative process.Website: boris eldagsen | photo & video art berlinInstagram: Photomedia & AI Artist (@boriseldagsen)00:00 Introduction to the Special Episode00:41 Meet Boris Eldagsen: The AI Photographer01:07 The Sony World Photography Awards Controversy05:20 Defining Photography in the Age of AI07:39 The Art of Promptography12:10 Boris's Creative Process and Workflow19:30 The Future of Photography and AI30:53 Tips for Aspiring Promptographers38:51 Exploring AI Tools and Techniques41:29 Conclusion and Reflections

Key Takeaways:Optimize for AI Search – Treat your online presence like SEO for AI. Ensure your LinkedIn and personal website include the right keywords so AI-driven tools and recruiters can easily find you.Networking Drives Career Growth – 70% of jobs come from introductions. Being proactive, following up, and offering value in professional relationships is key to unlocking new opportunities.Financial Preparedness is a Career Advantage – Many high earners still live paycheck to paycheck. Building an emergency fund of 6–12 months helps navigate layoffs and career shifts with confidence.AI Can Enhance, but Authenticity Wins – AI-generated headshots and tools can refine your brand, but people connect with realness. Finding a balance between AI optimization and human authenticity is essential.Joan's HBR article: Voice Recognition Still Has Significant Race and Gender BiasesJoan's LinkedIn: (23) Dr. Joan Palmiter Bajorek | LinkedInJoan's Website: Dr. Joan Palmiter BajorekYour AI Roadmap: Your AI Roadmap00:00 Introduction and Background00:22 The AI Roadmap Book01:54 Key Actions to Future-Proof Your Career03:01 Building an Emergency Fund05:44 Leveraging AI for Financial Planning07:36 Networking Strategies10:59 Personal Branding with AI14:11 The Human Element in AI19:51 Effective AI Prompting Techniques20:29 AI's Influence on Job Matching22:21 Using AI for Personal and Professional Tasks22:59 Choosing the Right AI Tool25:08 The Future of AI and Human Collaboration26:16 Balancing Career, Money, and Joy28:00 Gender Bias in AI32:30 Conclusion and Final Thoughts

Key Takeaways:AI Makes Entrepreneurship Essential – Nicholas highlights how AI-driven job displacement is reshaping traditional career paths, making entrepreneurship a necessary and forward-thinking choice.The ‘Donkey Corn' Model – Learn about this innovative, sustainable business model powered by AI that helps entrepreneurs scale effectively.Relationship Capital is Key – Authentic connections and leveraging networks are fundamental to building successful ventures and understanding customer needs.The Five P's Framework – A simple but powerful tool for identifying market opportunities by focusing on customer pain points and aligning them with viable solutions.Start Small, Scale Strategically – Nicholas emphasizes the value of beginning with manageable AI applications and iterating over time to create big, scalable impact.Audos Instagram: Direct • Instagram Audos Website: Audos - Co Pilot for EntrepreneursAudos Mail:  ep@audomail.comAudos Mate: Mate.Audos00:00 Meet Nicholas Thorne: Co-Founder of Audos01:06 The Mission of Audos: Empowering Entrepreneurs in an AI-Driven World02:21 The Future of Work: Why AI Is Essential for Entrepreneurs05:09 Real-Life Success Stories: The Donkey Corns Explained09:40 The PreHype Journey: Building Entrepreneurial Expertise22:24 The 5P Framework: Identifying Your Ideal Customer31:56 Visceral Language and AI: The Power of Words in Business33:05 AI's Role in Business: Consolidating and Simplifying Language34:14 Problem Reframing: How AI Assists in Tackling Big Challenges36:27 Generative AI in Action: Early Experiments and Insights40:48 The Inkling Slot Machine: Sparking Innovation with AI45:12 Authenticity in AI-Driven Businesses: Why It's Crucial56:38 Final Reflections and Actionable Insights For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

Key Takeaways:Learn-it-all beats know-it-all – Brad Anderson highlights how adopting a learn-it-all mindset, inspired by Satya Nadella, drives cultural and organizational transformation.AI adoption starts with action – Every individual in a company must engage with AI daily to foster understanding and integration.Innovation requires safe spaces – Creating environments for AI experimentation, such as hackathons and playgrounds, is essential for encouraging adoption and upskilling teams.You get what you measure – Brad emphasizes the importance of tracking AI engagement metrics to identify areas for improvement and sustain momentum.AI will redefine organizations – From generative AI to synthetic data, Brad explores how AI fundamentally transforms how businesses operate and serve their customers.Qualtrics' website: Qualtrics XM: The Leading Experience Management SoftwareClaude.ai: ClaudeNotebookLM: Google NotebookLM | Note Taking & Research Assistant Powered by AIChatGPT: ChatGPT00:00 Introduction to Qualtrics and Brad Anderson00:21 From Surveys to AI: The Evolution of Qualtrics01:41 Lessons from Satya Nadella03:48 Building a Customer-Centric Culture06:51 Adopting AI in Business13:29 Upskilling for AI Integration22:15 Organizing for Innovation27:13 AI Summits and Hackathons at Qualtrics36:42 ChatGPT Obsession37:19 Notebook LM and Team Alignment38:57 Innovation and Unexpected Wins40:42 Using AI in Negotiations44:18 The Future of AI and Large Language Models45:25 Driving AI Adoption48:47 The Rapid Growth ofAI56:42 AI-Powered Surveys at Qualtrics01:01:13 Generative AI and Feedback Mechanisms01:05:54 Wrap-Up and Key Takeaways For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

Key TakeawaysEarly AI Adoption – Anvisha shares how Dover leveraged GPT-3 for tasks like job description writing and email automation, overcoming early limitations through iteration.Fail-Fast Culture – Building a culture that encourages experimentation without fear of failure is key to driving innovation.Empowering Teams – Dover prioritizes self-starters and provides resources to help non-technical staff engage with AI.Iterative Product Development – The team emphasizes solving real customer problems manually before building scalable AI-powered solutions.Staying Informed – Anvisha stresses the importance of habits like following industry leaders and experimenting with new tools to stay competitive in a rapidly changing field.Dover's Website: Best Hiring & Recruiting Software for Startups with Free ATS | Dover00:00 Introduction to Anvisha and Dover00:14 Early Fascination with AI00:29 First Experiences with AI03:05 Founding Dover and Co-Founders04:00 Early Challenges and Iterations04:49 Exploring AI Applications at Dover06:34 Impact of AI on Recruiting07:25 Developing AI Tools and Products09:10 Company Culture and Innovation16:20 Staying Abreast of AI Developments30:38 Leadership and Management33:23 Conclusion and Reflections For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

Key Takeaways:Catalysts drive AI transformation – Learn how Brice's 'catalyst' approach sparks cultural and technological shifts in organizations.AI champions fuel innovation – Discover how Moderna's Generative AI Champions Team amplifies AI adoption and engagement.Augment, don't replace – Brice explains why the goal is not to replace humans but to enhance their capabilities.Outdated habits are out – Embrace modern tools and innovative methodologies to stay ahead.Start with ‘Why' – Understand the importance of anchoring AI initiatives to purpose-driven objectives for lasting success.Moderna's website: Pioneering mRNA technology - Moderna00:00 Introduction to Brice Challamel and His Role at Moderna00:45 What It Means to Be an AI Catalyst02:30 Leadership in the AI Era: Moving Beyond Traditional Hierarchies06:10 Avoiding "Fred-like Behavior" in a Modern Workplace10:20 Augmenting Human Potential: The Five-Person AI Team14:50 How Moderna Manages 700+ GPTs Safely and Efficiently20:30 Democratizing AI: Why It's a Utility for Every Employee27:15 Using AI to Transform Personal and Professional Growth32:40 Frameworks for Incident Management in AI Integration39:15 AI's Role in Healthcare, Radiology, and Beyond43:30 The Generative AI Champions Team: GCAT in Action50:00 The Future of Work: Collaboration and Culture with AI01:03:27 Reflections on AI Adoption and Leadership Insights For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

Key takeaways:Use AI as a thought partner – Shift your mindset from “How can I do this?” to “How can AI help me do this?” to unlock new levels of strategic thinking and innovation.Prioritize high-impact challenges – Leverage AI for complex, high-value tasks like debt restructuring, product development, and strategic decision-making.Develop daily AI habits – Engage with AI consistently to build momentum, enhance your decision-making, and achieve long-term breakthroughs.Stay in the driver's seat – Treat AI as a tool to enhance leadership and decision-making, ensuring that human judgment remains central to the process.AI leadership website: Home | AileadershipGeoff on LinkedIn: Geoff Woods | LinkedIn00:00 Introduction to Geoff Woods and His Journey00:27 Mindset Shift for Leaders Using Generative AI01:19 The Power of AI as a Thought Partner03:55 Strategic Use of Generative AI05:22 Real-World Example: Restructuring Debt with AI08:45 Daily AI Engagement for Business Growth13:34 Building AI Proficiency and Overcoming Challenges19:28 Creating and Leveraging AI Boards for Decision-Making24:01 Insights from AI Advisory Boards25:05 Strategic Thinking and Habit Formation27:03 Practical Applications and Case Studies in AI Leadership33:12 Case Study: Strategic Offsite with AI37:48 Final Thoughts and Takeaways For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

Key Takeaways:AI fuels YouTube growth – Peter uses AI tools to streamline his production process and expand his content's creative reach.Authenticity drives connection – Despite AI's capabilities, Peter emphasizes the importance of human storytelling and genuine audience engagement.Ethics safeguard creators – Transparent AI practices and fair licensing are essential for protecting creators' rights and sustaining trust.AI journaling sparks ideas – Peter leverages AI-driven journaling to capture insights and refine his creative strategies, contributing to his success on YouTube.Peter Hollens website: Peter HollensYoutube: Peter Hollens - YouTube00:00 Introduction to Peter Hollens and First Impressions01:44 Peter's Journey: From Choir to YouTube Sensation05:56 The Creator Economy: Advising, Investing, and Building a Following07:46 AI in Music: Exploring New Creative Frontiers10:59 Personal Growth Through AI and Technology15:12 Creativity and Authenticity in an AI-Driven World29:14 Ethics and Content Licensing in AI32:56 Reigniting Creativity and the Importance of Knowledge Sharing37:35 The Future of Acapella and AI Innovation42:51 Journaling and Self-Discovery with AI51:54 Final Reflections  For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

Key Takeaways:Start experimenting with AI now – AI's capabilities are vast, and hands-on exploration is key.The future of software is custom-built AI solutions – A shift from SaaS to bespoke models is on the horizon.Tacit knowledge is a goldmine – Codifying hidden expertise can unlock huge potential with AI.AI can turn unstructured data into actionable insights – Harnessing data can drive innovation and efficiency.Noah Brier's blogpost on building plugins: https://newsletter.brxnd.ai/p/building-chatgpt-plugins-brxnd-dispatchNoah on LinkedIn: https://www.linkedin.com/in/noahbrier/00:00 - Introduction to Noah Brier00:45 - Noah's Career Journey01:25 - Exploring AI, New Ventures, and Transitioning from Exploration to Exploitation03:28 - The Power of AI in Solving Problems07:14 - The Practical Applications of AI10:26 - Building AI-Driven Workflows16:35 - Empowering Organizations with AI22:20 - Hands-On with AI31:36 - Making Tacit Knowledge Explicit33:10 - Fun and Quirky AI Projects35:30 - Using AI for Brand and Product Development37:33 - Exploring New AI Tools and Techniques39:59 - Challenges and Opportunities in AI42:26 - The Future of SaaS and AI Integration47:03 - Practical Applications and Prototyping47:42 - Reflections and Future Directions53:49 - Closing Thoughts and Takeaways For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

Key Takeaways:Experiment with AI-powered tools – Asana's AI features, like status reports, help teams cut down on repetitive tasks and unlock creative potential.The product manager's role is evolving – With AI, product managers are shifting focus toward strategic thinking and deep customer insights.Maintain a balance – While AI automates many tasks, human judgment remains essential for accurate project oversight.Specialized teams boost AI impact – Asana's approach shows that dedicated AI teams can set the foundation for organization-wide adoption.For more episodes from Crafted, visit crafted.fm and be sure to subscribe to Crafted on your favorite podcast app for more insights on product innovation.00:00 Special episode intro00:01 Crafted: Paige Costello, Head of AI at Asana00:36 AI in Action at Asana01:52 Challenges in AI implementation05:01 Structuring teams for AI08:55 AI's role in product management14:15 Prototyping and scaling AI15:56 Internal AI uses at Asana18:06 AI's impact on workflows20:32 Future skills and job roles22:52 Customer interaction importance25:22 PageBot and AI assistants26:56 AI in organizational challenges27:43 Unexpected skills in AI29:17 Beyond the Prompt: Paige Costello29:29 Transparency and AI in teams34:33 Building AI products39:10 Legal and organizational aspects44:47 AI boosting productivity50:23 AI's impact across industries For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

In this episode, we engage in a thought-provoking conversation with Stephen Kosslyn, former Harvard professor and dean, who has spent decades at the forefront of psychology, neurology, and educational sciences. Kosslyn shares his journey from academia to leading AI-driven educational startups, highlighting the critical differences between passive and active learning. He emphasizes the importance of 'learning by using'—a method where knowledge is applied in real-world, open-ended situations, which leads to better retention and creative application.Kosslyn discusses how AI can serve as a cognitive amplifier, helping learners by storing vast amounts of information and enhancing critical and creative thinking. He also addresses the limitations of AI in handling context-specific, open-ended problems, which humans still navigate better. Drawing from his extensive experience, Kosslyn shares insights from his upcoming book, 'Learning to Flourish in the Age of AI,' set to be released in December. He underscores the enduring value of the humanities in an AI-driven world. This episode offers deep insights into the future of learning, where AI and human creativity intersect, fostering a new era of education.00:00 Introduction to Stephen Kosslyn and His Career01:01 Active Learning02:08 Retention in Learning03:40 AI's Impact on Learning04:18 Early AI Experiences09:56 Cognitive Amplifier Loop15:09 AI in Learning: Challenges & Potential23:18 AI Personalization Complexity28:45 Transfer Problem in Learning30:55 Problem-Solving & Cognitive Limits31:58 Evolutionary Learning & AI in Creativity35:45 AI Context Switching Challenges37:34 Student Motivation39:50 Innovative Teaching Methods42:22 Intrinsic vs. Extrinsic Motivation54:11 Humanities in Learning55:36 Final Thoughts & Reflections For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

In this episode, we dive deep with Diarra Bousso, founder of DIARRABLU, as she shares her journey from math teacher to fashion-tech entrepreneur. Diarra explains how she uses generative AI and algorithms to design sustainable fashion, significantly reducing textile waste. She highlights how AI has accelerated her design process, enabling her team to meet growing demand and rethink their approach to fashion.Diarra emphasizes the importance of embracing AI as a creative partner, sharing her philosophy of transparency in growth: “I can't tell you to level up if I'm leveling up in private.” By openly sharing her processes, she fosters collaboration and continuous learning within her team.The episode concludes with Diarra's vision for the future of fashion, where technology, tradition, and creativity merge to challenge industry norms. Her insights offer inspiration and practical advice for designers and entrepreneurs looking to leverage AI in a human-centered, innovative way.DIARRABLU's website: Conscious Contemporary Lifestyle Brand – diarrabluDiarra's TED talk: TEDTALK – diarrablu Diarra's website: Diarra Bousso 00:00 - Introduction to Diarra Bousso00:40 - From Math Teacher to Fashion Designer01:18 - Using AI to Visualize Fashion Designs02:09 - Speeding Up the Fashion Design Process03:34 - Fast, Sustainable Fashion with AI05:40 - Customizing Fashion with AI Tools07:59 - Creatives' Resistance to AI09:37 - AI as a Creative Amplifier12:09 - Celebrating AI Successes in the Team15:26 - AI as a Thought Partner for Strategy23:11 - AI in Hiring and Operations30:24 - Selling Designs Before They Exist40:03 - “Leveling Up in Private”49:33 - Teaching and Leading with AI51:06 - Final Thoughts and Reflections For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

Join us for an insightful conversation with David Boyle, an expert in audience research and data analytics, who is passionate about leveraging AI, especially language models, to enhance organizational decision-making. Drawing from his extensive background in corporate strategy and media, David reflects on how ChatGPT transformed his approach to research and decision-making. We delve into AI's profound impact across various industries, the crucial role of clear and effective AI prompts, and the iterative process of refining AI-generated outputs. David introduces his framework of the four P's—prep, prompt, process, and proficiency—as key to unlocking AI's full potential. He also highlights the importance of human oversight in guiding AI to boost both efficiency and creativity, sharing practical applications and success stories from diverse fields.This episode is followed by an bonus clip, where David uses this interview to do a full walk-through of how he uses AI to extract notes and insights from meeting he had. Its really worth a listen! Link to the files that David mention: https://docs.google.com/document/d/1EpHmpuvb23wvK7zGHkrFt7hftz7ULgv6q5KQ6zpcTIs/edit#heading=h.nvj144pyb5e4Link to find more from David: https://linktr.ee/david_boyleDavid at work: https://www.audiencestrategies.com/ 00:00 Introduction to David Boyle00:38 The Impact of Chat GPT on Corporate Decision Making02:14 The Surprising Capabilities of AI in Audience Understanding06:49 The Four P's of Effective AI Utilization09:51 Real-World Applications and Success Stories12:12 Overcoming Scepticism and Embracing AI22:51 Practical Tips for Integrating AI into Daily Tasks37:16 Refining AI Responses: The CARE Method38:01 Success Stories: AI in Innovation40:12 Challenges and Insights in AI Implementation41:22 Exploring Audience Research with AI43:28 Final Thoughts and Reflections For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

In the episode we're diving into a captivating discussion with Jenny Nicholson, an experienced advertising creative, as she explores the intersection of AI and human creativity from her home in Durham, North Carolina. Jenny shares insights from her '31 Projects in 31 Days' initiative, illustrating how large language models (LLMs) can elevate creativity and drive innovation through projects like the 'Plant Whisperer' and 'Project Runway GPT Edition.' Offering practical advice for harnessing AI's potential by asking the right questions, she emphasizes the importance of overcoming fear and embracing experimentation. Jenny advocates for a human-centered approach to technology, encouraging creatives to boldly explore new horizons with AI. Discover how her dedication to maintaining authenticity and humanity in the digital age combats barriers to technology adoption and unlocks AI's true potential.The 31 GPTs in 31 days project: Lab31 - https://lab31.xyz/Jenny's website — https://queenofswords.coJenny's linkedin — https://www.linkedin.com/in/jenny-nicholson-4b01383/And Jenny said this Medium article might be of interest! — https://medium.com/@missjenny/your-ai-task-force-is-missing-the-point-14078a4ef9c100:00 Introduction to Jenny Nicholson00:29 The 31 Projects in 31 Days Challenge00:43 The Power of Constraints in Creativity02:34 Discovering GPTs and Early Experiments05:24 The Magic of Large Language Models08:25 Humanizing AI Interactions16:35 Voice Interaction with AI25:02 Empowering Creatives with AI38:28 The Power of Trying: Overcoming Procrastination39:56 Learning Through AI: Teaching and Executing40:44 Automation Adventures: Google Sheets and Beyond42:59 Creating GPTs: From Ideas to Execution52:14 The Lazy LLM: A Fun Challenge56:53 Empowering Individuals with AI01:05:18 The Future of Creativity and AI01:08:31 Concluding Thoughts and Reflections For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

In this episode, we talk with Phoebe Yao, founder and CEO of Pareto.ai, about fair and ethical data labelling platform aimed at advancing support for AI researchers. The episode addresses data labelers' challenges and stresses the need for higher standards and worker empowerment. We talk about the critical role of domain experts in AI training, the impact of ethical practices on data quality, and the broader implications for the future of work in AI. This episode offers valuable insights into how Pareto.ai supports workers and ensures quality, highlighting often-overlooked ethical concerns in the AI industry.Disclosure: Jeremy Utley is an angel investor in Pareto.ai00:00 Introduction to Pareto and Ethical Data Labelling00:31 Spotlight on Pareto's Mission01:53 Understanding Ethical Data Labelling02:16 Challenges in the Data Labelling Industry06:00 Impact of Ethical Practices on AI Training08:03 The Role of Domain Experts in AI Training13:28 Adapting to AI's Disruption in the Labor Market20:56 Ethical Consumption of AI Products25:44 Practical Uses of AI in Business29:18 Closing Thoughts and Future of Ethical AIDisclosure: Jeremy is an investor in Phoebe Yao's company. For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen:

Join us as we chat with Shir, the engineering lead of Notion AI, about her journey into AI, from her early fascination with Apple's speech-to-text technology to her impactful contributions at Google and Waymo. Shir shares insights into her current role at Notion, the innovative AI projects she's leading, and the unique culture of experimentation and failure that drives product development. Discover how AI drafts performance reviews in minutes, celebrates code deletion in team demos, and integrates seamlessly with Slack to provide precise answers. Plus, learn about innovative tools like the AI writer that helps overcome writer's block and enables effortless content creation. Get a behind-the-scenes look at how Notion's unique culture fosters innovation and continuous improvement. 00:00 Introduction to Shir and AI Journey00:47 Early Fascination with AI01:36 Career at Google and Voice Search03:43 Transition to Waymo and Challenges05:11 Joining Notion and Initial Impressions06:09 Adopting AI at Notion11:55 Internal Use and Impact of AI15:12 Challenges and Innovations in AI Integration20:05 Monitoring and Feedback Mechanisms22:39 Strength and Flexibility in Product Development23:44 Exploration vs. Exploitation Phases24:47 Speed Enables Quality27:50 Overcoming Sunk Cost Fallacy30:36 Celebrating Failures and Learning33:11 The Future of AI and Creativity34:44 Practical Uses of AI in Daily Work38:04 The Evolution of Human-Computer Interaction41:02 Final Thoughts and Reflections For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show producer: Natja Rosner (nat@dreamingincolors.com)

Steven Johnson on NotebookLM: Revolutionizing Writing and ResearchSteven Johnson, author of 14 books on the history of science and technology, discusses Google's new writing and research tool, NotebookLM. He elaborates on how walking influences creativity, the importance of play in innovation, and shares insights into using AI for augmenting thought and memory. The conversation covers his role in co-creating NotebookLM with Google Labs, the importance of uploading sources for effective use, and the potential of AI to enhance both authorship and readership. Johnson also touches on potential future developments, such as recommending additional sources and addressing privacy concerns. The dialogue highlights the revolutionary potential of AI-driven tools in research and content creation.00:00 Introduction to Steven Johnson00:20 The Role of Walking in Creativity02:27 The Importance of Play and Uselessness04:35 Notebook LM: A New Research Tool07:02 The Genesis of Notebook LM09:29 Building and Innovating at Google Labs12:48 Using Notebook LM for Writing and Research22:24 Exploring New Book Ideas with Notebook LM25:27 Exploring AI's Role in Research25:56 Future of AI in Recommending Sources26:44 Tone and Style in AI Writing29:20 Privacy and Copyright Concerns30:26 AI's Impact on Writing and Creativity36:05 New Forms of Reading and Books40:29 Practical Tips for Using NotebookLM44:34 Reflections on the Future of Authorship For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show producer: Natja Rosner (nat@dreamingincolors.com)

Transforming Dreams into Reality: Juan Carlos on Documentary Filmmaking, AI, and Building an iPhone App with ChatGPTIn this episode, Juan Carlos shares his extraordinary journey from being a documentary filmmaker to becoming a product leader and app developer. He discusses his transition from film school at NYU to directing notable documentaries like 'Second Skin,' which explored the lives of individuals deeply integrated into online video games. Juan Carlos dives into his experience using ChatGPT as a developmental tutor to create an iPhone app from scratch, despite having no prior programming experience. He provides insights into project selection, overcoming technical challenges, and utilizing ChatGPT for productivity and self-development. Key takeaways include the importance of minimal viable products, leveraging AI for task automation, and innovative methods like using AI to analyze personal cognitive biases.00:00 Introduction to Vanity and AI01:02 Exploring Virtual Worlds01:47 Transition to Digital and Photography03:07 Project Selection and Mindset08:30 Building an iPhone App with ChatGPT10:38 Overcoming Technical Hurdles32:39 Exploring Different Data Formats32:43 Building a Basic iOS App35:50 Defining the MVP37:08 Navigating the App Store37:55 Future Projects and Chatbots41:48 Conclusion and Reflections For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show producer: Natja Rosner (nat@dreamingincolors.com)

In this insightful conversation, Kevin Kelly, co-founder and senior maverick at WIRED, explores the transformative impact of AI on society and creativity. Kelly discusses the philosophical and practical implications of AI, highlighting its potential to accelerate all other technologies and likening its impact to the Industrial Revolution's shift from muscle power to artificial power. He shares his experiences with AI-generated art and music, emphasizing the importance of doing something 'useless' every day to spark creativity and innovation. Kelly also delves into the concept of 'AIs' as a zoo of diverse, specialized minds and the need for new frameworks to address intellectual property in the AI era. 00:00 Introduction to Kevin Kelly00:32 The Future of AI in Interviews01:42 Philosophical Questions on AI and Authenticity05:00 Daily Art Practice and AI Collaboration06:41 Exploring AI in Music Creation13:47 The Profound Impact of AI20:42 AI and Organizational Changes29:50 The Challenge of Digital Memory32:08 AI and Intellectual Property36:11 The Future of AI Models43:06 AI's Role in the Creator Economy47:21 Kevin Kelly's Creative Process53:15 Closing Thoughts and Reflections For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show producer: Natja Rosner (nat@dreamingincolors.com)

In this episode, Russ Summers, who heads marketing for Quantified, shares insights into leveraging generative AI to boost productivity and creativity within sales and marketing roles. Having built a 'GP team' of custom GPTs, Russ has tripled his output, illustrating how AI can serve as virtual team members for tasks ranging from webinar content creation to specialized knowledge acquisition. Through personal anecdotes and exploratory conversations, the episode delves into the process of building AI team members, the importance of play in learning and innovation, and strategies for incorporating AI into personal and professional growth. Highlights include building AI with specific skills sets like 'Wendy Webinar' and 'Roger RevOps,' and the philosophical implications of personifying AI for better engagement and output. Moreover, Russ's personal journey from a layoff to pioneering AI productivity tools opens a discussion on the transformative power of AI in the modern workplace. 00:00 Meet Russ Summers: The One-Man Marketing Powerhouse01:42 Introducing Wendy Webinar: A GPT Team Member Revolutionizing Content Creation03:42 Leveling Up with GPT: Beyond Basic Task Automation05:18 Roger RevOps: A Custom GPT for Niche Expertise08:07 Exploring the Next Frontier: Collaborative and Mentorship GPTs14:25 The Art of Building and Utilizing GPT Staff: Tips and Tricks22:27 Expanding the Team: Integrating GPTs into Human Workflows23:42 Exploring Organizational Progress and Tool Adoption25:25 The Importance of Measuring Effort and Encouraging Experimentation26:50 Fostering Creativity and Psychological Safety in the Workplace29:06 Personifying Bots for Better Engagement and Output31:42 Reimagining Brand Communication in a Conversational World34:58 The Transformative Power of Play and Exploration38:43 Strategies for Personal and Professional Growth with GPT47:54 Concluding Thoughts on Innovation and the Future of Work For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show producer: Natja Rosner (nat@dreamingincolors.com)