Beyond The Prompt - How to use AI in your company

Dan Klein, professor at UC Berkeley and CTO at Scaled Cognition, explains that AI systems generate answers based on patterns in language rather than verified knowledge. This makes them highly capable across many tasks, but also means they can produce confident answers even when they are not fully accurate. He introduces the “jagged frontier,” where AI performs very well in some areas and less reliably in others. Because responses are fluent and convincing, it is often hard to see where those limits are, which makes it important to stay engaged when using these systems. The conversation also explores hallucinations as a natural part of generative systems. In some cases, this is what makes them valuable, especially for creative or open-ended tasks, while in other cases reliability becomes more important. Finally, Dan highlights that working effectively with AI is a skill. As more people start using these systems in their daily work, knowing how to guide them, evaluate outputs, and apply them in the right contexts becomes increasingly important. He also shares how his team at Scaled Cognition is tackling this challenge by building AI systems with fundamentally different architectures, focused on determinism and reliability — aiming to ensure systems follow rules, reflect underlying data accurately, and behave predictably in high-stakes, policy-driven use cases. Key Takeaways: AI is designed to sound right, not to know it’s right Models generate fluent answers without knowing whether they are correct, which means users need to actively evaluate outputs You have to learn where AI works and where it doesn’t Capabilities are uneven, and understanding those limits is key to using AI effectively Working with AI shifts your role from creator to editor Instead of starting from scratch, you are reviewing, refining, and validating what the model produces Most people are using AI without knowing how to manage it Skills like delegation, verification, and judgment are becoming essential, but are not widely taught Dan's LinkedIn: linkedin/dan-klein/ Scaled Cognition Website: scaledcognition.com Scaled Cognition LinkedIn: linkedin/company/scaledcognition/ Scaled Cognition X: x.com/ScaledCognition 00:00 Intro: Fluency vs Truth00:34 Meet Dan Klein02:53 Why Fluency Misleads05:11 How LLMs Guess07:30 What Is Hallucination08:54 Deception and Alignment11:22 Why Agents Break12:48 Chaining and Determinism16:01 When Hallucination Helps22:33 Beyond Scale for Reliability30:40 Synthetic Data Training31:10 Enterprise Agent Use Cases33:44 Healthcare Risks39:13 Enterprise Literacy Gap41:27 Delegation and AI Management54:37 The Debrief 📜 Read the transcript for this episode: nobody-is-getting-new-manager-training-for-their-ai-team-with-dan-klein-uc-berkeley/transcript   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. 

Melissa Cheals leads Smartly, a payroll and people management platform serving 24,000 small and medium businesses in New Zealand. In this conversation, she shares how AI is reshaping product development, leadership, and how organizations operate. A key moment comes when her team estimates new features will take 12 months and $1M to build. Instead of accepting it, Melissa pushes back, using AI to better understand her team’s perspective and communicate the need for change more effectively. This becomes a broader shift in how she approaches leadership, using AI to think more clearly and navigate conversations with less friction. The discussion expands into strategy. Companies now face a fundamental choice: become AI-native or continue building on existing systems. As AI adoption increases, it also exposes silos and bottlenecks. Melissa shares why cross-functional collaboration—and leaders actively engaging with AI themselves—is critical to navigating this shift. Key Takeaways:  Becoming AI-native is a defining decision It’s not just a technology shift. Leaders need to decide whether to rebuild around AI or continue layering it onto existing systems, and that choice shapes how the company operates. AI shifts us from scarcity to abundance Many organizations still think in terms of limited time and resources, but AI changes what’s possible and forces leaders to rethink how big they can think and what they can achieve. AI is a leadership amplifier Beyond productivity, AI helps leaders think more clearly, reframe conversations, and communicate change in a way that is both effective and respectful. Leaders can’t delegate AI Without hands-on experience, it becomes difficult to challenge assumptions, guide teams, or make informed decisions about what’s possible. Smartly: smartly.co.nz LinkedIn Melissa: linkedin.com/melissa-cheals LinkedIn Smartly: linkedin.com/company/smartlynz/ 00:00 Intro: Challenging AI Assumptions00:28 Meet Melissa Cheals01:17 The Spark For Change02:36 Vision And Early Signals03:48 Hiring For Transformation06:12 Unlocking Data With AI08:27 Breaking Silos Across Teams10:39 Why Leaders Must Learn AI13:42 Leading With AI And Clarity17:05 The AI-Native Decision21:45 Thinking Bigger With AI25:23 Less Meetings More Writing26:33 The Self-Disruption Imperative29:11 Breaking Silos With Value Streams31:28 Managing Fear And Change32:50 Learning And Shipping Faster34:58 Debrief 📜 Read the transcript for this episode: ai-native-or-not-the-defining-choice-for-companies-right-now-with-melissa-cheals-ceo-of-smartly/transcript   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. 

Greg Shove describes a growing gap between individual and organizational AI adoption. A small group of employees are already using AI effectively, while most companies are still early. AI is generating real productivity gains, but those gains are not being captured at the company level. Instead, they are absorbed by individuals who use AI to work faster, often without changing team outputs or structures — raising a central question: if AI creates time, where does that time go? The conversation explores why enterprise AI adoption remains uneven. Many organizations lack a clear point of view on AI, and workflows take time to adapt, making it difficult to turn individual gains into coordinated results. At the same time, AI is breaking capability boundaries, allowing people to take on work across roles while companies remain structured around existing ways of operating. From a leadership perspective, Greg emphasizes that the challenge is not just efficiency. AI creates capacity, but without clear direction on how to use it, that capacity disappears. Leaders must decide how to reinvest the time AI creates if they want to capture real business value.Key Takeaways:  AI’s ROI is leaking, not missing Companies are generating value from AI, but it’s being captured by employees rather than the organization. A small group drives most of the impact Roughly 10–15% of employees adopt AI early and use it effectively, creating an uneven distribution of gains. AI is breaking capability boundaries Individuals can now take on work across roles, but organizations are still structured around fixed responsibilities. Most companies lack a clear point of view on AI Without direction from leadership, adoption becomes fragmented and employees are left to figure it out themselves. Leaders must decide what to do with the time AI creates Efficiency gains alone don’t create value. Organizations need to define new, higher-value work or the gains disappear. Greg's LinkedIn: linkedin/gregshove Section LinkedIn: linkedin/company/sectionai Section AI: sectionai.com Prof AI: prof.ai 00:00 Intro: Entering the Era of AI Chaos00:31 Meet Greg Shove01:32 Enterprise AI Is a C Minus01:51 AI’s ROI Is “Leaking” to Employees03:04 When Individuals Outrun the Organization05:44 When AI Breaks Workflows06:47 Disposable Software and New Ways of Building09:10 Cut vs Create12:01 Using the Calendar as a Lever16:24 Why Enterprises Don’t Move17:32 When Customers Force Change21:31 AI Breaks Capability Boundaries25:44 The Productivity Firehose27:49 Who Actually Captures the Value28:45 Why Everyone Needs Good AI32:00 Adoption Beats Buying More Tools40:17 Teaching the 90 Percent43:48 Where Humans Still Matter48:09 The Debrief 📜 Read the transcript for this episode: greg-shove-on-why-most-companies-are-not-seeing-roi-on-ai-yet/transcript   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. 

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 📜 Read the transcript for this episode: how-to-subtract-the-most-underrated-skill-of-the-ai-era-with-leidy-klotz/transcript   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. 

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 harder As 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&D With shifting capabilities and uncertain outcomes, teams must experiment, prototype, and iterate rather than rely solely on long term roadmaps.Organizational structure must reflect experimentation Separating exploratory AI work from core engineering can allow faster iteration while maintaining stability elsewhere.Rapid model updates create operational pressure Frequent 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 role As AI lowers the cost of generating outputs, evaluating quality and deciding what to ship becomes increasingly important.Fathom: fathom.ai Fathom LinkedIn: linkedin/company/fathom-video/ Richard's LinkedIn: linkedin/in/rrwhite/ 00:00 Intro: Why AI Breaks Roadmaps 00:19 Meet Richard White (Fathom AI) 02:16 From Roadmaps to R&D 04:49 Designing AI Teams for Speed 07:11 The Jenga Model 09:56 Failing 50% & AI Team Psychology 13:40 LLMs as Interns & Anti-Planning 21:01 QA, Data Pain & Developing Taste 24:59 Executive Taste & Culture Rules 27:20 Reacting to AI Waves 28:50 Fathom’s 4-Step Product Plan 30:47 What New Models Unlock 32:13 From Scribe to Second Brain 40:32 Build vs Buy in AI 45:32 The Debrief 📜 Read the transcript for this episode: from-roadmaps-to-rd-how-ai-is-changing-product-development-with-richard-white-founder-of-fathom-ai/transcript   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, 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 effort Bryan explains how “keeping the GPUs full” became his primary measure of productivity.Prompting is useful, but likely temporary The 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 do Tasks AI struggles with can reveal meaningful research opportunities.Leadership is about scaling others Bryan shares how his focus shifted from scaling himself to helping his team increase impact.Organizations may benefit from neural-network-like design Better information flow and fewer bottlenecks can improve decision-making.YOU: You.com Bryan's website: bryanmccann.org LinkedIn: linkedin/company/youdotcom/ 00:00 Intro: Keeping the GPUs Full 00:22 Meet Bryan McCann: CTO & co-founder of You.com 00:43 Why Search Is Breaking - and Why It Becomes a Skill 01:41 From Search to Agents 03:18 The Case for Proactive, Context-Aware AI 04:30 We Don’t Need New Hardware - We Need Trust 05:43 The Trust Problem of Always-On Listening 07:57 Trust as the Real Bottleneck (Not AI Capability) 09:52 Delivering Immediate Value to Earn Trust 12:13 Business Models and Escaping the Attention Economy 17:27 What “Agents” Really Mean - and Why the Term Will Fade 20:37 Productivity, Parkinson’s Law, and Keeping the Machines Running 23:52 Scaling Yourself vs. Scaling Your Team 29:57 Building Culture: Automate, Throw Away, Rebuild 35:46 Designing Organizations Like Neural Networks 45:02 Recruiting for Initiative in an AI-Native Organization 49:18 The debrief  📜 Read the transcript for this episode: podcast.beyondtheprompt.ai/heres-how-to-know-if-youre-getting-the-most-out-of-ai-with-bryan-mccann-cto-of-youcom/transcript   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, 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 Takeaways Leaders should not delegate the AI moment Humza, 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 decisions Humza’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 inclusion MLSE’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 first Rather 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.com LinkedIn: Humza Teherany - LinkedIn 00:00 Intro: Humza Teherany and MLSE 00:27 The Role of C-Suite Leaders in AI 01:08 Reconnecting with Technical Skills 02:08 Diving Deep into AI Tools 03:03 The Importance of Hands-On Learning 04:25 Progression from Consumer to Technical AI Tools 07:28 Building a Business Case for AI 10:03 Creating a Culture of Innovation 14:00 Implementing AI in Business Operations 21:05 Challenges and Strategies in AI Adoption 26:17 Organizational Structure for AI Success 32:02 The Importance of Reviewing and Planning Code 33:01 The Future of Solo Developers and New Technologists 34:58 Reimagining Company Structures with AI 38:55 Key Skills for Future Technology Leaders 41:19 Personal AI Experiments and Innovations 46:52 Encouraging Creativity in Children with AI 49:11 The Debrief 📜 Read the transcript for this episode: building-an-enterprise-ai-innovation-lab-a-master-class-with-humza-teherany-chief-strategy-officer-of-maple-leaf-sports-and-entertainment/transcript   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 Takeaways Insight starts with being wrong Mikkel 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 process Mikkel 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 signal The 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 experimentation Mikkel 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.com 00:00 Intro: Why This Conversation Matters 00:25 Meet Mikkel: Founder of Human Activity Laboratory 01:14 Understanding Anthropology and AI 03:32 Applied Anthropology: Tools and Techniques 04:56 The Role of Narratives in AI 07:06 The Importance of Sensory and Social Dimensions 13:06 Case Study: LEGO and the Anthropology of Play 21:07 The Role of Surprise in Anthropology 27:51 AI and Human Synergy 31:26 Exploring AI's Limitations and Potential 32:46 Anthropology Without Anthropologists 34:17 AI's Role in Generating Insights 37:23 Human Bias in AI-Generated Ideas 42:05 Synthetic Data and Its Applications 47:34 The Future of AI in Anthropology 49:25 The Debrief 📜 Read the transcript for this episode: why-ai-gets-people-wrong-the-real-source-of-insight-with-anthropologist-mikkel-b-rasmussen/transcript   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 Takeaways Experimentation is the foundation Diarra 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 creativity She 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 build By 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 founder Diarra 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.com DIARRABLU: diarrablu.com 00:00 Intro: AI-Driven Fashion 00:13 Meet Diarra Bousso: Founder of DIARRABLU 01:43 The Power of Experimentation 02:00 A Life-Changing Accident and Recovery 04:40 Embracing a Culture of Experimentation 06:13 Scientific Approach to Business 09:48 Empowering the Team 15:03 AI in Fashion Design 18:36 Revolutionizing the Fashion Industry 28:09 Traditional vs. Digital Fashion Models 32:18 Embracing AI in Fashion Design 32:49 Collaborating with Retailers Using AI 35:06 AI's Role in Prototyping and Design 36:58 The Future of AI in Creative Industries 39:14 Navigating Resistance to AI 48:10 Operationalizing AI for Efficiency 52:18 Balancing Innovation and Personal Well-being 57:19 Debrief 📜 Read the transcript for this episode: Transcript of How The Worlds Leading AI-first Fashion House Flips The Cash Flow Equation with Diarra Bousso   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 theory Illia 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 builders Illia 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 AI As 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 world Illia 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 here Illia's X: x.com/ilblackdragon Illia's Substack: ilblackdragon.substack.com NEAR X: x.com/nearprotocol 00:00 Intro: AI and Information Control 00:29 Meet Illia Polosukhin: Co-Author of 'Attention is All You Need' 01:03 The Evolution and Impact of AI 13:24 The Birth of Near AI and Blockchain Integration 15:16 Challenges and Innovations in Blockchain and AI 22:17 Privacy and Security in AI Applications 26:58 Exploring Sleeper Agents in AI 29:19 Practical AI Implementation in Teams 30:06 AI's Role in Product Development 31:41 Challenges and Future of AI in Development 36:35 AI and Economic Alignment 41:46 The Future of AI Agents 44:14 Debrief 📜 Read the transcript for this episode: Transcript of The Future Of AI With Illia Polosukhin: The Man Who Put The T In GPT |   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 information Christian 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 change Video 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 AI Models 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 steps Christian shows how tasks like debugging and prototyping change with generative tools, which reshapes roles and opens new opportunities for innovation.LinkedIn: Christian Keller | LinkedIn 00:00 Intro: Information Compression 00:37 Meet Christian Keller: AI Expert 01:13 The Evolution of AI Products 02:11 Impact of ChatGPT on AI Development 02:38 Understanding PyTorch and Its Role 07:41 The Bitter Lesson in AI 09:12 Challenges and Future of AI Models 18:57 Using AI to Build AI 23:25 Innovative Chat Interfaces 23:41 Building the Autos Platform 24:35 Epiphanies in AI Integration 25:18 AI in Entrepreneurial Workflows 26:32 Challenges in AI Integration 31:15 Bias in AI Models 38:06 Debrief  📜 Read the transcript for this episode: Transcript of AIs Next Frontier: World Models Explained by Christian Keller |   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 balanced The 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 themselves Tim 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 safety Organizations 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 time Despite 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: LinkedIn Website: Prosci | The Global Leader in Change Management Solutions 00:00 Introduction to Change Management and AI Adoption 00:25 Meet the Experts: Tim Creasey and Paul Gonzalez 01:51 The Challenges of Change Management 04:07 Generative AI Transformation: Unique Challenges 07:44 Key Ingredients for Successful AI Adoption 15:18 Building a Culture of Experimentation 20:43 The Role of Leadership in AI Transformation 25:54 Future Organizational Designs with AI 27:02 Disruptive Organizational Changes 28:00 Examples of Innovative Enterprises 28:15 Military Analogies in Business 29:30 Challenges in Organizational Change 30:36 Timeless Principles of Change Management 31:36 The Role of Leadership in Change 33:13 ADKAR Model for Change 35:51 Addressing Resistance to Change 40:05 Effective Communication Strategies 47:48 Concluding Thoughts and Reflections 📜 Read the transcript for this episode: Transcript of How Science Suggests You Change Your Organization - with Prosci’s Tim Creasey and Paul Gonzalez |   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. 

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 AI When 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 real There’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 differentiator Inside 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 screen From 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/Applied X: https://x.com/Applied 00:00 Intro: Safety Critical Systems 00:33 Meet the Founders of Applied Intuition 01:09 Understanding Applied Intuition's Unique Approach 03:02 The Human-Machine Teaming Concept 07:26 Challenges in Autonomous Driving 16:39 AI in Industrial Applications 28:27 Future of Fighter Jets and AI 29:50 AI in Applied: Coding Tools and Beyond 33:16 Radical Pragmatism and AI Integration 36:03 Challenges of AI Adoption in Large Organizations 39:56 Human and Technical Challenges in AI 42:02 Innovation and Organizational Structure 48:38 Reflections on AI and Future Prospects 📜 Read the transcript for this episode: Transcript of You Can’t Vibe Code a 100-Ton Truck: Inside Applied Intuition’s Approach to Safety-Critical AI   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. 

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 change Key Takeaways: Start with Yourself: “Client Zero” Works IBM 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 Tech Success 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 Models IBM 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 Impact Transformation 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 | LinkedIn IBM: IBM 00:00 Intro: HR Automation 00:41 Introduction of Mohamed Ali and IBM's Transformation 01:14 IBM's Enterprise Transformation 01:41 The Role of AI in IBM's Success 03:25 Rejoining IBM: A Strategic Decision 04:33 Key Components of AI Implementation 07:21 Employee Engagement and Hackathons 08:59 Technical Leadership and AI 10:37 Global Tax Optimization with AI 11:17 Scaling AI Solutions for Clients 22:00 Monetizing Digital Labor 26:50 Digital Labor and Procurement Projects 27:29 Unbundling and Economic Implications 28:44 Technological Shifts and Market Expansion 30:04 AI-Powered Business Transformations 32:22 Case Study: L'Oreal's AI Integration 39:13 HR Automation and Cost Reduction 42:09 Creative Innovations in AI Applications 43:59 Advice for Leaders on AI Integration 45:43 Final thoughts 📜 Read the transcript for this episode: Transcript of How IBM Used AI to Cut 40% of HR Operating Costs and Reinvest in the 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. 

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 game Long-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 trap Adopting 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 question Martin 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 losers Times 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 essential AI can accelerate exploration, but creativity, ethics, and originality remain uniquely human — and decisive for future leadership.LinkedIn: Martin Reeves | LinkedIn BCG Henderson Institute: Home - BCG Henderson Institute Martins books: The Imagination Machine // Like: The Button That Changed the World 00:00 Intro: Two Jobs in Strategy, Today’s Game and Tomorrow’s Game 01:33 Martin Reeves and the Henderson Institute 04:02 Defining Strategy in the AI Era 05:12 AI and Human Imagination 09:20 Efficiency vs. Competitive Advantage 13:18 Organizational Design for the Future 23:09 The Paradox of Imagination in Business 33:02 Harnessing Serendipity for Innovation 35:18 Devil’s Advocacy and Meeting Optimization 36:51 Where AI Helps and Hurts Organizations 38:16 The Limits of AI Training Data 42:56 How Martin Uses AI Day to Day 47:09 What’s the Next Game for Consulting 53:15 Final Reflections 📜 Read the transcript for this episode: Transcript of How Do You Strategize in the AI Era? – with Martin Reeves, Head of BCG’s Think Tank   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. 

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 | Forum3 AI First book: AI First Book | Forum3 Andy LinkedIn: Andy Sack | LinkedIn Adam LinkedIn: Adam Brotman | LinkedIn 00:00 Intro: The Urgency of AI 00:19 Meet the Authors & The Premise of AI First 03:43 Defining an AI-Forward Leader 05:02 Adoption, Resistance & the AI Wake-Up Call 08:01 Why Mindset Matters More Than Tools 09:39 Experimentation, Governance & AI Culture 14:09 Re-architecting Organizations for AI 28:42 Balancing Innovation and Safety 35:45 The Evolution of AI Safety 37:46 Open Source vs. Closed Source Debate 40:07 AI’s Role in Organizational Agility 41:32 Human Augmentation & Co-Intelligence 42:34 The Future of AI and Autonomous Agents 46:14 Prototyping, Vibe Coding & Rapid Innovation 54:02 The Future of Organizational Design & Final Reflections 📜 Read the transcript for this episode: Transcript of The AI Playbook Every Leader Needs: A Chat With Adam Brotman & Andy Sack   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 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 Entrepreneurship Buy the book: Amazon.com: Me, My Customer, and AI: The New Rules of Entrepreneurship Audos: Audos Audos Instagram: Direct • Instagram  Nicholas LinkedIn: Nicholas Thorne | LinkedIn 00:00 Intro: The Human Questions Behind AI 00:37 Personal Reflections on AI 01:26 The Book’s Unique Perspective 02:55 AI and Human Resourcefulness 05:46 Entrepreneurship in the AI Era 13:05 The Five Ps Framework 23:53 Identifying Real Problems 25:39 Why Identifying and Reframing Problems Matters 26:27 The Concept of “It Sucks That” 27:23 Historical Context and Practical Applications 28:22 The Role of Language in Problem-Solving 29:43 AI’s Influence on Writing and Creativity 31:47 Challenges and Limitations of AI in Writing 35:38 The Future of AI in Creative Processes 43:30 Entrepreneurial Skills for the Modern Era 48:26 Audience Interaction and Final Thoughts 📜 Read the transcript for this episode: Transcript of How Entrepreneurs Can Compete in the Age of AI: Henrik Werdelin & Nicholas Thorne on Their New Book Me, My Customer and AI   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. 

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 Apps LinkedIn: Wade Foster | LinkedIn 00:00 Setting Company Culture: Rewards and Tolerances 00:43 The Rise of AI at Zapier 02:19 Wade's Social Media Presence 05:06 Challenges in AI Adoption 07:32 Personal Use of AI: Health Tracking 10:21 Business Applications of AI 13:34 Automating Repetitive Tasks 20:35 Voice of Customer Program 24:26 Customer Brief Generator 33:27 Code Red: Embracing AI 35:32 Subtle Encouragement and the Impact of GPT-4 36:38 Code Red: A Turning Point 36:51 Embracing AI: From Fear to Familiarity 38:13 The Journey to AI Adoption 39:11 Challenges in Organizational Change 40:41 Managing Resistance and Encouraging Experimentation 43:55 Building a Remote Culture with AI 46:29 The Future of Work and AI 48:33 Agent-to-Agent Communication 51:32 The Importance of Duplication in Innovation 56:43 Final Thoughts   📜 Read the transcript for this episode: Transcript of Inside Zapier’s Code Red: How CEO Wade Foster Hit Pause to Reinvent for AI   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, 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 | LinkedIn Website: Evan Ratliff – Journalist Shell Game Podcast: Shell Game | Evan Ratliff NY Times article referred to: Nytimes/ThisMachine-madeWorldConquersOneMoreRebel 00:00 Intro: Thoughts on AI Deception 00:40 Meet Evan Ratliff: Technology, Crime, and Identity 01:13 The Shell Game Podcast: Exploring AI Voice Cloning 03:50 Challenges and Improvements in AI Voice Technology 04:57 Inspiration Behind the Voice Cloning Experiment 11:05 Practical Applications and Ethical Considerations 17:31 AI in Scamming: Risks and Realities 25:04 Protecting Yourself from AI Scams 27:49 Reflecting on Technological Change and Human Adaptation 29:59 The Reluctance to Embrace New Technology 30:36 The Dangers of Social Media 31:59 AI in Therapy and Personal Experiences 33:39 Creating an AI Agent of Yourself 38:09 The Challenges of Small Talk with AI 38:55 Personal Tech Stack and AI Usage 42:59 Balancing Efficiency and Meaningfulness 45:32 The Future of AI and Human Interaction 52:18 Concluding Thoughts and Reflections 📜 Read the transcript for this episode: Transcript of Can AI Replace Me? Evan Ratliff on Letting an AI Clone Live His Life   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, 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 | LinkedIn Tombras: Tombras | Full-Service Independent Advertising Agency 00:00 Overcoming Self-Doubt in Business 00:37 Meet Jeff Benjamin: Creative Leader at Tombras 00:56 The Role of AI in Creative Processes 02:24 Using AI as a Sparring Partner 04:34 Practical Examples of AI in Action 09:31 The Impact of AI on Team Dynamics 11:37 Balancing AI and Human Creativity 14:13 The Future of AI in Creative Industries 21:06 Exploring Human Skills for AI Mastery 22:09 The Art of Asking Better Questions 22:40 AI as a Creative Partner 24:41 The Excitement of Sharing Ideas 30:09 Generational Differences in AI Interaction 32:35 The Risk of AI Dehumanization 38:19 Concluding Thoughts 📜 Read the transcript for this episode: Transcript of How the Chief Creative Officer of an Award-Winning Ad Agency Prompts the Perfect Pitch   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, 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 | LinkedIn Website: Home - Joshua To Meta: Meta Careers 00:00 Intro: Fixing Notifications With AI 00:54 Meet Josh: VP of Product Design at Meta 02:06 From Hoodies to Hardware: Josh's Journey 03:53 The Google Experience: From Ads to Product Management 10:37 The Evolution of Google Glass and AR 19:12 The Role of AI in Josh's Career 22:25 Designing the Future: AR, VR, and Attention Management 32:49 Contextually Aware Suggestions 33:38 Leveraging Generative AI in Design 34:52 AI's Role in Concept Art and Storyboarding 41:24 AI Tools and Model Capabilities 45:54 The Future of AI and Wearables 51:58 Reflections and Takeaways 📜 Read the transcript for this episode: Transcript of Chief of Staff for the Masses: How Meta’s Joshua To Designs Wearables with AI   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, 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 | LinkedIn Website: Greg Shove | AI Strategist & Keynote Speaker for Enterprise Leaders Section: Section | AI workforce transformation for real ROI Machine & Partners: AI Consulting Services | Machine and Partners 00:00 Embracing AI: Changing Work Culture 00:29 Introduction: Meet Greg Shove 01:10 AI in Daily Work: Tools and Changes 03:59 Business Model Disruption: The Next Big Shift 12:45 Training and Adoption Challenges 19:14 The Future of Work: AI's Impact on Jobs 32:02 Leadership and AI: Strategies for Success 35:20 Embracing AI in the Workplace 36:51 Workflow Redesign with AI 39:39 The Role of AI Agents 40:12 Challenges in AI Adoption 45:14 Pro AI: The AI-Powered Coach 51:03 Disrupting Business Models with AI 57:52 Cognitive Offloading and AI 01:03:02 Final Thoughts and Reflections 📜 Read the transcript for this episode: Transcript of The AI Implementation Audit: What Section’s CEO Learned in 18 Months     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, 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 | LinkedIn Homebase: All-in-one Employee Scheduling, Time Clocks, Payroll, & More | Homebase 00:00 Introduction and Initial Reactions to AI 00:31 Meet John Waldmann and the Story of Homebase 00:53 Reinventing Homebase as an AI-First Company 01:46 From PRDs to Prototypes: Building Faster, Learning Smarter 05:02 How AI Is Reshaping the Customer Experience 09:19 Culture Shock: Resistance, Skepticism, and AI Adoption 14:03 The End of SaaS as We Know It? 19:34 Leading Through Disruption: Ownership, Urgency, and Org Design 25:12 Forcing the Shift: Getting Teams to Embrace AI 27:50 Hiring the Unemployed—and Other Nontraditional Talent Bets 28:56 Curiosity > Credentials: What to Look for in AI-Ready Teams 31:57 New Expectations, OKRs, and Holding Teams Accountable 37:10 Serving Small Businesses Better with AI 44:52 Final Thoughts: Team Dynamics, Founder Risk, and What’s Next 📜 Read the transcript for this episode: Transcript of Rebuilding from Inside: How John Waldmann Led an AI Shift Without Breaking His Team |     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, Joshua Wöhle, co-founder and CEO of Mindstone, shares how AI can go beyond automation to truly augment thinking, strategy, and workflows. He walks us through the personal rituals and frameworks he uses to spot high-leverage opportunities, and why iteration—not speed—is the real unlock. We explore how non-technical teams can build custom tools without code, why HR is the real AI driver in most orgs, and how the shift from SaaS to tailored internal solutions is reshaping the future of work. Packed with practical insights for anyone ready to move beyond the buzzwords and into real 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 | LinkedIn Mindstone: Mindstone - Empower Your Team with Practical AI Skills 00:00 Introduction to Joshua Wöhle and Mindstone 01:10 Personal Practices for Automation 02:35 Early Wins in AI Automation 11:23 Levels of AI Proficiency 14:59 Utility Threshold in AI 24:51 AI in Organizational Structures 33:21 Introduction to the Early Space and AI Integration 33:45 Joshua's Entrepreneurial Journey and AI Augmentation 34:37 Challenges and Breakthroughs with AI 35:32 The Evolution of Building with Generative AI 37:56 The Future of SaaS and Internal Development 40:34 Practical Examples of AI Implementation 50:14 The Importance of Iteration and High-Value Tasks 54:56 Concluding Thoughts and Reflections 📜 Read the transcript for this episode: Transcript of Why HR not CTOs Will Lead AI Augmentation - with Joshua Wöhle |   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, Nicholas Thompson, CEO of The Atlantic, shares a personal and expansive look at how AI is reshaping creativity, leadership, and human connection. From using ChatGPT in marathon training to rethinking journalism in the age of agents, Nicholas explores AI not just as a tool—but as a thought partner. We dive into cognitive offloading vs. augmentation, the ethics of AI-generated content, and why preserving “unwired” intelligence still matters. He also reflects on leading through disruption, building analog habits, and fostering team-wide experimentation. A rich conversation on staying human in an increasingly automated world. 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 | LinkedIn The Atlantic: World Edition - The Atlantic Website: Home - Nicholas Thompson X: nxthompson (@nxthompson) Strava: Cycling & Biking App - Tracker, Trails, Training & More | Strava Caitlin Flanagan – Sex Without Women: Article:SexWithoutWomen-TheAtlantic 00:00 Introduction to Nicholas Thompson 00:11 Navigating the Information Overload 01:10 Daily Tech Insights and Tools 02:10 Using AI for Content Creation 04:39 AI as a Personal Trainer 08:02 Emotional Connections with AI 12:12 The Risks of AI Relationships 16:17 Preparing for AGI and Cognitive Offloading 30:26 AI's Impact on Leadership 31:10 Navigating AI Competitors 32:01 Internal AI Strategies 32:49 Ethical Considerations in AI Usage 34:07 AI in Journalism and Writing 36:32 Practical AI Applications 40:27 Balancing AI and Human Skills 49:27 Future of AI in Media 53:50 Final Thoughts and Reflections 📜 Read the transcript for this episode: Transcript of What AI Can't Replace – How The Atlantic Deals with Disruption |   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, Devin McNulty, founder of Funmentum Labs and creator of Funware, shares how he’s turning fun into a serious engine for creative work. After 15 years of running workshops for Fortune 500s, Devin built an AI-powered facilitation tool that helps hybrid teams generate better ideas—without needing a pro in the room. We explore how he treats AI like a co-facilitator, not a thought partner, and what it means to “pre-train” AI the way you'd brief a human. Devin also unpacks how to turn creative intuition into scalable software—and why levity, timing, and rough ideas can unlock big breakthroughs. A smart listen for anyone building tools, workshops, or teams that need to think more boldly. 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™ Labs LinkedIn: Devin McNulty | LinkedIn 00:00 Intro to Funmentum Labs & Funware 00:38 Why Fun Is a Powerful Work Strategy 01:41 Overcoming Skepticism in Serious Workplaces 02:27 Techniques to Engage Resistant Teams 06:32 Can AI Be Funny? Humor in Corporate Settings 08:03 How Funware Uses AI to Drive Group Creativity 11:43 Automating Workshops with AI-Powered Prompts 14:04 Devin’s Path from Facilitator to AI Builder 16:21 Advanced Prompting Techniques in Funware 28:34 Creative Prompting: Logos, Personas & Play 30:04 Exercises to Push Beyond Obvious Ideas 31:35 How AI Unlocks Group Innovation 36:55 Pre-Training AI for Better Collaboration 43:35 Using AI as Muse, Challenger & Focuser 48:46 Final Thoughts 📜 Read the transcript for this episode: Transcript of Prompting for Originality: How Devin McNulty Is AI-Enabling His Workshop Business |   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, Mihir Shukla, CEO and Chairman of Automation Anywhere, shares how he’s building an autonomous enterprise—where AI doesn’t just assist work, but performs it. With over 300 million AI agents in action, Mihir argues the future of work is already here. We dive into how Automation Anywhere automates everything from tax to customer service, how to spot high-impact use cases, and why culture—not tech—is the biggest blocker. Mihir also zooms out to explore the global productivity crisis, the shrinking workforce, and the moral imperative to upskill at scale. A powerful episode on what work can look like when AI is truly embedded. 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 | LinkedIn Automation Anywhere: The Leading Agentic Process Automation System | Automation Anywhere 00:00 Introduction to Mihir Shukla & Automation Anywhere 01:20 Vision for Autonomous Enterprises 03:03 Reimagining Work Processes 04:17 Principles of Automation 06:12 Challenges and Solutions in AI Adoption 09:15 The Importance of AI in Modern Workplaces 21:31 Studying and Rethinking Work 26:55 The Challenge of Adapting to AI-Powered Workflows 27:55 The Impact of AI on Task Management 31:24 AI in Customer Service and HR Operations 33:03 The Strategic Value of AI in Finance 37:30 The Social Impact of AI and Upskilling Initiatives 40:40 Final Thoughts and Takeaways  📜 Read the transcript for this episode: Transcript of How Mihir Shukla Is Reimagining Work With 300 Million AI Agents (and Counting) |   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, Eric Porres, Global Head of AI at Logitech, shares how he’s working to turn a 7,000-person company into an AI-fluent organization. From running a GenAI survey to personally training 800+ colleagues in his first 100 days, Eric lays out the foundations of a practical, human-centered AI strategy. He discusses building a culture of “augmented intelligence” through habits, champions, and clear frameworks—like prompt refinement, long-form instructions, and task-focused design. Looking ahead, Eric explores the rise of agentic AI, internal tools, and how to measure impact beyond usage metrics. A must-listen for anyone driving meaningful AI adoption at scale. 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 | LinkedIn Logitech: logitech.com/ Eric's website: Porres Psychedelic GPT: Trippin' The Chat Fantastic These screenshots showcase how Eric Porres organizes AI research using NotebookLM, as discussed in the episode. NotebookLM Dashboard: NotebookLM Dashboard - Eric Porres NotebookLM 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 AI 01:51 Measuring AI Adoption: Surveys, Usage & Quality 05:34 Training 800 Colleagues: How Eric Taught AI Mastery 19:50 From Side Role to Head of AI: Eric’s Transition Story 23:02 Scaling AI Across Teams: Tools, Access & Equity 28:56 Choosing the Right Model for the Right Job 30:28 Measuring Success: NPS, Feedback, and Real Usage 32:05 The Rise of AI Champions and Teaching as Proof of Mastery 34:31 Beyond Fluency: Preparing for the Agentic Future 36:45 Atomizing Workflows: Making AI Work for You 39:10 AI in Sales & Customer Service: The Agent Use Case 43:26 Personal Knowledge Bases and AI-Augmented Thinking 50:49 Final Thoughts and Takeaways  📜 Read the transcript for this episode: Transcript of Eric Porres is Rewiring Logitech’s Org for the AI Age. First; he trained 800 people himself.   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, Blair Vermette, founder of Rabbit Hole, shares his journey from traditional TV production to becoming a pioneer in AI-powered storytelling. Once frustrated by the rise of AI in creative work, Blair chose to lean in—leading to the creation of Floral, a viral Adidas spec ad that transformed his career. He talks about scaling his creative studio, navigating the chaos of AI-generated content, and how his editing background gave him a competitive edge. Blair also breaks down his “break the spine” storytelling philosophy, the balance between curation and creation, and the enduring role of human instinct in an increasingly AI-shaped creative world. 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/AdidasAd Blair's Instagram: Blair Vermette (@_blairvermette) •  Rabbithole: RABBITHOLE | creative studio LinkedIn: (10) Blair Vermette | LinkedIn 00:00 Introduction to Blair and Rabbit Hole 00:25 Blair's Journey into Generative AI 01:53 The Impact of Generative AI on Creativity 04:35 Creating 'My Name is Gary' 07:51 The Cost and Constraints of Traditional Animation 14:38 The Making of the Adidas Spec Ad 19:02 The Viral Success and Its Aftermath 24:08 Scaling Up to Meet Demand 27:20 The Dilemma of Building a Team  28:55 The Importance of Instinct and Originality 29:48 Professionalism in Creative Work 30:16 Leveraging AI in Storytelling 34:50 The Value of Obsession and Specificity 36:02 Entrepreneurial Ideas for Creative Growth 44:02 Breaking the Story Spine 48:18 Navigating the AI Transition 50:58 Final Reflections and Encouragement 📜 Read the transcript for this episode: Transcript of How Blair Vermette Went from AI Skeptic to a Pioneer of Viral AI Videos |   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. 

Berlin-based artist Boris Eldagsen made headlines when he won—then refused—the Sony World Photography Awards after revealing that his winning image was AI-generated. In this special episode of Beyond the Prompt, Eldagsen takes us through his transition from traditional photography to what he calls promptography—a new category for AI-generated images. He explores the fundamental differences between photography and AI-generated art, why clear definitions matter in creative competitions, and how AI unlocks new dimensions of artistic freedom. The conversation dives deep into the philosophical and technical aspects of AI-generated images, the role of surprise in the creative process, and what the future holds for photography in the age of AI. If you've ever wondered where art and AI collide—or how to embrace the unexpected in your creative work—this episode is for you. 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 berlin Instagram: Photomedia & AI Artist (@boriseldagsen) 00:00 Introduction to the Special Episode 00:41 Meet Boris Eldagsen: The AI Photographer 01:07 The Sony World Photography Awards Controversy 05:20 Defining Photography in the Age of AI 07:39 The Art of Promptography 12:10 Boris's Creative Process and Workflow 19:30 The Future of Photography and AI 30:53 Tips for Aspiring Promptographers 38:51 Exploring AI Tools and Techniques 41:29 Conclusion and Reflections 📜 Read the transcript for this episode: Transcript of BONUS EPISODE: Boris Eldagsen: Why AI-Generated Images Aren’t Photography |   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. 

AI is transforming careers, personal branding, and financial planning - so how can you stay ahead? Dr. Joan Palmiter Bajorek, entrepreneur, investor, bestselling author, and host of Your AI Roadmap, shares strategies from her new book to help future-proof your career and income. She breaks down how to build a strong personal brand, expand your network, and stay financially secure in an AI-driven world. We also explore AI’s impact on job searches, gender bias, and the balance between automation and authenticity. Whether you want to pivot into AI, strengthen your career, or make smarter financial moves, this episode offers valuable, actionable strategies to help you navigate the future. 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 Biases Joan's LinkedIn: (23) Dr. Joan Palmiter Bajorek | LinkedIn Joan's Website: Dr. Joan Palmiter Bajorek Your AI Roadmap: Your AI Roadmap 00:00 Introduction and Background 00:22 The AI Roadmap Book 01:54 Key Actions to Future-Proof Your Career 03:01 Building an Emergency Fund 05:44 Leveraging AI for Financial Planning 07:36 Networking Strategies 10:59 Personal Branding with AI 14:11 The Human Element in AI 19:51 Effective AI Prompting Techniques 20:29 AI's Influence on Job Matching 22:21 Using AI for Personal and Professional Tasks 22:59 Choosing the Right AI Tool 25:08 The Future of AI and Human Collaboration 26:16 Balancing Career, Money, and Joy 28:00 Gender Bias in AI 32:30 Conclusion and Final Thoughts 📜 Read the transcript for this episode: Transcript of Future-Proofing Your Career and Income in the Age of AI with Dr. Joan Palmiter Bajorek   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, Nicholas Thorne, co-founder of Audos, shares his mission to help a million entrepreneurs build sustainable, AI-powered businesses. He introduces the concept of the “Donkey Corn,” breaks down the Five P’s framework for spotting opportunity, and explains why AI makes entrepreneurship more accessible—and more urgent—than ever. Nicholas also explores how to build with authenticity, leverage relationship capital, and align passion with purpose. This episode is full of tactical insights for anyone ready to turn ideas into action in the age of generative AI. 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 Entrepreneurs Audos Mail:  [email protected] Audos Mate: Mate.Audos 00:00 Meet Nicholas Thorne: Co-Founder of Audos 01:06 The Mission of Audos: Empowering Entrepreneurs in an AI-Driven World 02:21 The Future of Work: Why AI Is Essential for Entrepreneurs 05:09 Real-Life Success Stories: The Donkey Corns Explained 09:40 The PreHype Journey: Building Entrepreneurial Expertise 22:24 The 5P Framework: Identifying Your Ideal Customer 31:56 Visceral Language and AI: The Power of Words in Business 33:05 AI’s Role in Business: Consolidating and Simplifying Language 34:14 Problem Reframing: How AI Assists in Tackling Big Challenges 36:27 Generative AI in Action: Early Experiments and Insights 40:48 The Inkling Slot Machine: Sparking Innovation with AI 45:12 Authenticity in AI-Driven Businesses: Why It’s Crucial 56:38 Final Reflections and Actionable Insights 📜 Read the transcript for this episode:Transcript of How to build a business with AI? Founder of Audos - Nicholas Thorne on the New Rules for Entrepreneurship |   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, Brad Anderson, President of the Product Group at Qualtrics and former Microsoft exec, shares how AI is transforming how businesses operate—from internal culture to customer experience. He reflects on Microsoft’s shift from a “know-it-all” to a “learn-it-all” mindset, and how that same curiosity is driving change at Qualtrics. From analyzing unstructured feedback to running AI summits and hackathons, Brad offers real-world stories on embedding AI into daily workflows and upskilling teams at scale. A must-listen for leaders navigating transformation in the age of AI. 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 Software Claude.ai: Claude NotebookLM: Google NotebookLM | Note Taking & Research Assistant Powered by AI ChatGPT: ChatGPT 00:00 Introduction to Qualtrics and Brad Anderson 00:21 From Surveys to AI: The Evolution of Qualtrics 01:41 Lessons from Satya Nadella 03:48 Building a Customer-Centric Culture 06:51 Adopting AI in Business 13:29 Upskilling for AI Integration 22:15 Organizing for Innovation 27:13 AI Summits and Hackathons at Qualtrics 36:42 ChatGPT Obsession 37:19 Notebook LM and Team Alignment 38:57 Innovation and Unexpected Wins 40:42 Using AI in Negotiations 44:18 The Future of AI and Large Language Models 45:25 Driving AI Adoption 48:47 The Rapid Growth ofAI 56:42 AI-Powered Surveys at Qualtrics 01:01:13 Generative AI and Feedback Mechanisms 01:05:54 Wrap-Up and Key Takeaways 📜 Read the transcript for this episode: Transcript of Why your organization needs to embrace AI—Or get left behind, with Brad Anderson |   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. 

Anvisha Pai, founder of Dover, takes us inside how her team is using generative AI to transform recruiting—automating everything from job descriptions to candidate outreach for over 500 companies. She shares lessons from her early AI experiments at MIT, and how building a fail-fast culture has helped Dover stay ahead of the curve. We dive into how her team turns quick AI tests into scalable wins, and how a culture of curiosity fuels long-term innovation. Whether you're scaling a startup or exploring AI’s role in team workflows, this episode offers actionable advice for thriving in an AI-powered future. Key Takeaways Early 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 | Dover 00:00 Introduction to Anvisha and Dover 00:14 Early Fascination with AI 00:29 First Experiences with AI 03:05 Founding Dover and Co-Founders 04:00 Early Challenges and Iterations 04:49 Exploring AI Applications at Dover 06:34 Impact of AI on Recruiting 07:25 Developing AI Tools and Products 09:10 Company Culture and Innovation 16:20 Staying Abreast of AI Developments 30:38 Leadership and Management 33:23 Conclusion and Reflections 📜 Read the transcript for this episode: Transcript of Reinventing Recruiting: Anvisha Pai on Using AI to Automate Hiring |   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, Brice Challamel, Head of AI Products and Platforms at Moderna, pulls back the curtain on how AI is transforming not just workflows but entire organizational cultures. Brice introduces the concept of the AI "catalyst" - a role focused on accelerating safe, effective change - while sharing practical strategies for fostering widespread AI adoption. Drawing on examples from his leadership at Moderna, Brice explains why it's reckless not to integrate AI into your processes, how to avoid outdated approaches (what he calls "Fred-like behavior") that hold organizations back, and why every individual in a company should think of themselves as a five-person team, augmented by AI. This episode is a masterclass in how to lead through change, prioritize high-impact innovation, and rethink leadership in the age of AI. 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 - Moderna 00:00 Introduction to Brice Challamel and His Role at Moderna 00:45 What It Means to Be an AI Catalyst 02:30 Leadership in the AI Era: Moving Beyond Traditional Hierarchies 06:10 Avoiding "Fred-like Behavior" in a Modern Workplace 10:20 Augmenting Human Potential: The Five-Person AI Team 14:50 How Moderna Manages 700+ GPTs Safely and Efficiently 20:30 Democratizing AI: Why It's a Utility for Every Employee 27:15 Using AI to Transform Personal and Professional Growth 32:40 Frameworks for Incident Management in AI Integration 39:15 AI’s Role in Healthcare, Radiology, and Beyond 43:30 The Generative AI Champions Team: GCAT in Action 50:00 The Future of Work: Collaboration and Culture with AI 01:03:27 Reflections on AI Adoption and Leadership Insights 📜 Read the transcript for this episode: Transcript of How to make an AI-Driven Culture Transformation with Moderna’s Head of AI, Brice Challamel |   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, Geoff Woods, bestselling author of The AI Driven Leader and founder of AI Leadership, reveals how leaders can leverage AI to tackle big decisions and strategic challenges. Geoff introduces a transformative mindset shift: stop asking, “How can I do this?” and start asking, “How can AI help me do this?” Through real-world examples, he demonstrates how AI can act as a thought partner in high-stakes scenarios like debt restructuring, product innovation, and boardroom dynamics. Geoff also shares practical tips on building daily AI habits to enhance decision-making, amplify results, and spark innovative breakthroughs. Whether you're a leader looking to rethink your approach to AI or seeking actionable strategies for smarter decision-making, this episode offers valuable insights for driving success. 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 | Aileadership Geoff on LinkedIn: Geoff Woods | LinkedIn 00:00 Introduction to Geoff Woods and His Journey 00:27 Mindset Shift for Leaders Using Generative AI 01:19 The Power of AI as a Thought Partner 03:55 Strategic Use of Generative AI 05:22 Real-World Example: Restructuring Debt with AI 08:45 Daily AI Engagement for Business Growth 13:34 Building AI Proficiency and Overcoming Challenges 19:28 Creating and Leveraging AI Boards for Decision-Making 24:01 Insights from AI Advisory Boards 25:05 Strategic Thinking and Habit Formation 27:03 Practical Applications and Case Studies in AI Leadership 33:12 Case Study: Strategic Offsite with AI 37:48 Final Thoughts and Takeaways 📜 Read the transcript for this episode: Transcript of How You Can Leverage AI for Big Decisions – Insights from Geoff Woods |   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 explore how Peter Hollens has leveraged artificial intelligence to grow his YouTube channel to over 3 million followers and sustain his success in the creator economy. Peter shares how AI tools have streamlined his production process, sparked new creative ideas, and even enhanced his ability to connect authentically with his audience. From optimizing workflows to experimenting with AI-assisted songwriting and storytelling, Peter reveals how technology has expanded his creative possibilities while staying true to his artistic voice. The episode also delves into the ethical challenges of AI, as Peter emphasizes the need for transparent practices that respect creators’ rights. This conversation is an inspiring look at how AI can amplify human creativity, helping creators scale their passions and engage with audiences in meaningful ways. 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 Hollens Youtube: Peter Hollens - YouTube 00:00 Introduction to Peter Hollens and First Impressions 01:44 Peter's Journey: From Choir to YouTube Sensation 05:56 The Creator Economy: Advising, Investing, and Building a Following 07:46 AI in Music: Exploring New Creative Frontiers 10:59 Personal Growth Through AI and Technology 15:12 Creativity and Authenticity in an AI-Driven World 29:14 Ethics and Content Licensing in AI 32:56 Reigniting Creativity and the Importance of Knowledge Sharing 37:35 The Future of Acapella and AI Innovation 42:51 Journaling and Self-Discovery with AI 51:54 Final Reflections  📜 Read the transcript for this episode: Transcript of How Peter Hollens uses AI to build a successful YouTube channel with 3m followers |   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 conversation, Noah Brier, founder of Percolate and BrXnd.ai, discusses his journey from advertising to becoming a leader in AI-powered marketing solutions. He explores the balance between exploration and exploitation in business, highlighting AI’s transformative role in solving complex brand challenges. Noah underscores the importance of hands-on experimentation, the shift from traditional SaaS models to bespoke software solutions, and the need for companies to capture and leverage tacit knowledge. The discussion also covers practical applications of AI, insights from leading CMOs, and how technology is shaping the future of business. Noah explains how AI can democratize knowledge, streamline workflows, and turn unstructured data into actionable insights, positioning it as a critical tool for driving innovation. 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-dispatch Noah on LinkedIn: https://www.linkedin.com/in/noahbrier/ 00:00 - Introduction to Noah Brier 00:45 - Noah's Career Journey 01:25 - Exploring AI, New Ventures, and Transitioning from Exploration to Exploitation 03:28 - The Power of AI in Solving Problems 07:14 - The Practical Applications of AI 10:26 - Building AI-Driven Workflows 16:35 - Empowering Organizations with AI 22:20 - Hands-On with AI 31:36 - Making Tacit Knowledge Explicit 33:10 - Fun and Quirky AI Projects 35:30 - Using AI for Brand and Product Development 37:33 - Exploring New AI Tools and Techniques 39:59 - Challenges and Opportunities in AI 42:26 - The Future of SaaS and AI Integration 47:03 - Practical Applications and Prototyping 47:42 - Reflections and Future Directions 53:49 - Closing Thoughts and Takeaways 📜 Read the transcript for this episode: Transcript of The death of SAAS and raise of what marketing folks can do with AI already with Noah Brier |   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 special episode, we begin with a conversation from Crafted featuring Paige Costello, Head of AI at Asana, on how tools like AI-generated status reports and bug triaging are eliminating busywork and unlocking creativity. Then, Jeremy and Henrik continue the conversation with Paige—digging into user testing, model choices, and the challenge of balancing control with flexibility. With real-world examples from Asana, this episode offers practical insights into how AI is reshaping workflows, team structures, and the future role of product managers. 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 intro 00:01 Crafted: Paige Costello, Head of AI at Asana 00:36 AI in Action at Asana 01:52 Challenges in AI implementation 05:01 Structuring teams for AI 08:55 AI's role in product management 14:15 Prototyping and scaling AI 15:56 Internal AI uses at Asana 18:06 AI's impact on workflows 20:32 Future skills and job roles 22:52 Customer interaction importance 25:22 PageBot and AI assistants 26:56 AI in organizational challenges 27:43 Unexpected skills in AI 29:17 Beyond the Prompt: Paige Costello 29:29 Transparency and AI in teams 34:33 Building AI products 39:10 Legal and organizational aspects 44:47 AI boosting productivity 50:23 AI's impact across industries 📜 Read the transcript for this episode: Transcript of Special Episode: Paige Costello on AI in Product Management – a Co-Production from Crafted.FM and Beyond the Prompt |   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, Diarra Bousso, founder of DIARRABLU, shares how she went from math teacher to fashion-tech entrepreneur—using generative AI and algorithms to create sustainable, scalable fashion while dramatically reducing textile waste. She talks about treating AI as a creative partner, why transparency is key to growth, and how sharing her process fosters learning across her team. Diarra also lays out a bold vision for the future of fashion—where technology, tradition, and design thinking collide to challenge the industry's status quo. DIARRABLU's website: Conscious Contemporary Lifestyle Brand – diarrablu Diarra’s TED talk: TEDTALK – diarrablu  Diarra's website: Diarra Bousso  00:00 - Introduction to Diarra Bousso 00:40 - From Math Teacher to Fashion Designer 01:18 - Using AI to Visualize Fashion Designs 02:09 - Speeding Up the Fashion Design Process 03:34 - Fast, Sustainable Fashion with AI 05:40 - Customizing Fashion with AI Tools 07:59 - Creatives’ Resistance to AI 09:37 - AI as a Creative Amplifier 12:09 - Celebrating AI Successes in the Team 15:26 - AI as a Thought Partner for Strategy 23:11 - AI in Hiring and Operations 30:24 - Selling Designs Before They Exist 40:03 - “Leveling Up in Private” 49:33 - Teaching and Leading with AI 51:06 - Final Thoughts and Reflections 📜 Read the transcript for this episode: Transcript of Founder of the Future: Diarra Bousso on AI-Powered Sustainable Fashion |   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.nvj144pyb5e4 Link to find more from David: https://linktr.ee/david_boyle David at work: https://www.audiencestrategies.com/   00:00 Introduction to David Boyle 00:38 The Impact of Chat GPT on Corporate Decision Making 02:14 The Surprising Capabilities of AI in Audience Understanding 06:49 The Four P's of Effective AI Utilization 09:51 Real-World Applications and Success Stories 12:12 Overcoming Scepticism and Embracing AI 22:51 Practical Tips for Integrating AI into Daily Tasks 37:16 Refining AI Responses: The CARE Method 38:01 Success Stories: AI in Innovation 40:12 Challenges and Insights in AI Implementation 41:22 Exploring Audience Research with AI 43:28 Final Thoughts and Reflections 📜 Read the transcript for this episode: Transcript of Using AI for Better Decision Making with David Boyle. Episode include BONUS clip (se notes) |   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. 

The 31 GPTs in 31 days project: Lab31 - https://lab31.xyz/ Jenny's website — https://queenofswords.co Jenny'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-14078a4ef9c1 00:00 Introduction to Jenny Nicholson 00:29 The 31 Projects in 31 Days Challenge 00:43 The Power of Constraints in Creativity 02:34 Discovering GPTs and Early Experiments 05:24 The Magic of Large Language Models 08:25 Humanizing AI Interactions 16:35 Voice Interaction with AI 25:02 Empowering Creatives with AI 38:28 The Power of Trying: Overcoming Procrastination 39:56 Learning Through AI: Teaching and Executing 40:44 Automation Adventures: Google Sheets and Beyond 42:59 Creating GPTs: From Ideas to Execution 52:14 The Lazy LLM: A Fun Challenge 56:53 Empowering Individuals with AI 01:05:18 The Future of Creativity and AI 01:08:31 Concluding Thoughts and Reflections 📜 Read the transcript for this episode: Transcript of Creatives Should Stop Being Afraid of AI! The incredible Jenny Nicholson makes a perfect pitch |   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.ai Website: Pareto: Premium AI & LLM Training Data Labeled by Elite Teams 00:00 Introduction to Pareto and Ethical Data Labelling 00:31 Spotlight on Pareto's Mission 01:53 Understanding Ethical Data Labelling 02:16 Challenges in the Data Labelling Industry 06:00 Impact of Ethical Practices on AI Training 08:03 The Role of Domain Experts in AI Training 13:28 Adapting to AI's Disruption in the Labor Market 20:56 Ethical Consumption of AI Products 25:44 Practical Uses of AI in Business 29:18 Closing Thoughts and Future of Ethical AI Disclosure: Jeremy is an investor in Phoebe Yao’s company. 📜 Read the transcript for this episode: Transcript of A sobering talk about the need for ethical data for AI models with Phoebe Yao |   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.   Learn how Notion leverages AI to enhance productivity, creativity, and collaboration, and get inspired by Shir's perspectives on the future of AI. Website: NotionAi 00:00 Introduction to Shir and AI Journey 00:47 Early Fascination with AI 01:36 Career at Google and Voice Search 03:43 Transition to Waymo and Challenges 05:11 Joining Notion and Initial Impressions 06:09 Adopting AI at Notion 11:55 Internal Use and Impact of AI 15:12 Challenges and Innovations in AI Integration 20:05 Monitoring and Feedback Mechanisms 22:39 Strength and Flexibility in Product Development 23:44 Exploration vs. Exploitation Phases 24:47 Speed Enables Quality 27:50 Overcoming Sunk Cost Fallacy 30:36 Celebrating Failures and Learning 33:11 The Future of AI and Creativity 34:44 Practical Uses of AI in Daily Work 38:04 The Evolution of Human-Computer Interaction 41:02 Final Thoughts and Reflections 📜 Read the transcript for this episode: Transcript of How to Increase Workplace Productivity. Notion's Lead AI Engineer Shir Yehoshua on High-Risk, High-Reward AI Projects |   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. 

Steven 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 Johnson 00:20 The Role of Walking in Creativity 02:27 The Importance of Play and Uselessness 04:35 Notebook LM: A New Research Tool 07:02 The Genesis of Notebook LM 09:29 Building and Innovating at Google Labs 12:48 Using Notebook LM for Writing and Research 22:24 Exploring New Book Ideas with Notebook LM 25:27 Exploring AI's Role in Research 25:56 Future of AI in Recommending Sources 26:44 Tone and Style in AI Writing 29:20 Privacy and Copyright Concerns 30:26 AI's Impact on Writing and Creativity 36:05 New Forms of Reading and Books 40:29 Practical Tips for Using NotebookLM 44:34 Reflections on the Future of Authorship 📜 Read the transcript for this episode: Transcript of The Future of Books and Improving Your memory with AI: Steven Johnson (Author and Google Labs) |   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, 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 AI 01:02 Exploring Virtual Worlds 01:47 Transition to Digital and Photography 03:07 Project Selection and Mindset 08:30 Building an iPhone App with ChatGPT 10:38 Overcoming Technical Hurdles 32:39 Exploring Different Data Formats 32:43 Building a Basic iOS App 35:50 Defining the MVP 37:08 Navigating the App Store 37:55 Future Projects and Chatbots 41:48 Conclusion and Reflections 📜 Read the transcript for this episode: Transcript of Make ChatGPT Your Personal Tutor: Documentary Film Maker Juan Carlos On How ChatGPT Turned Him Into An iPhone App Developer    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 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' daily 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 Kelly 00:32 The Future of AI in Interviews 01:42 Philosophical Questions on AI and Authenticity 05:00 Daily Art Practice and AI Collaboration 06:41 Exploring AI in Music Creation 13:47 The Profound Impact of AI 20:42 AI and Organizational Changes 29:50 The Challenge of Digital Memory 32:08 AI and Intellectual Property 36:11 The Future of AI Models 43:06 AI's Role in the Creator Economy 47:21 Kevin Kelly's Creative Process 53:15 Closing Thoughts and Reflections 📜 Read the transcript for this episode: Transcript of Kevin Kelly’s Mind Bending Predictions of Our Fascinating AI Future |   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, Russ Somers, 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. Website: Quantified 00:00 Meet Russ Somers: The One-Man Marketing Powerhouse 01:42 Introducing Wendy Webinar: A GPT Team Member Revolutionizing Content Creation 03:42 Leveling Up with GPT: Beyond Basic Task Automation 05:18 Roger RevOps: A Custom GPT for Niche Expertise 08:07 Exploring the Next Frontier: Collaborative and Mentorship GPTs 14:25 The Art of Building and Utilizing GPT Staff: Tips and Tricks 22:27 Expanding the Team: Integrating GPTs into Human Workflows 23:42 Exploring Organizational Progress and Tool Adoption 25:25 The Importance of Measuring Effort and Encouraging Experimentation 26:50 Fostering Creativity and Psychological Safety in the Workplace 29:06 Personifying Bots for Better Engagement and Output 31:42 Reimagining Brand Communication in a Conversational World 34:58 The Transformative Power of Play and Exploration 38:43 Strategies for Personal and Professional Growth with GPT 47:54 Concluding Thoughts on Innovation and the Future of Work 📜 Read the transcript for this episode: Transcript of How to 3x your output with GPTs: CMO Russ Somers on building a GPTeam |   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, Guy Kawasaki, author and Chief Evangelist of Canva, discusses his journey into the world of Artificial Intelligence (AI), specifically generative AI, and its profound impact on his work and personal life. Kawasaki shares how he was introduced to generative AI and his fascination with its capabilities, such as generating precise responses and improving efficiency in his tasks. He introduces KawasakiGPT, a custom Large Language Model (LLM) built from his writings, videos, and podcast transcripts, which he uses to automate responses and draft writings, enhancing his productivity. Furthermore, Kawasaki details how AI has assisted him in diverse scenarios, from crafting effective letters to insurance companies to brainstorming book content, emphasizing AI's potential to amplify human capability and creativity. The episode also explores the philosophical implications of AI in learning, entrepreneurship, and personal growth, encouraging listeners to embrace AI tools to remain competitive and innovative. 00:00 Meet Guy Kawasaki: Author, Surfer, and Tech Evangelist 00:21 The Joy and Connections of Surfing 00:43 Exploring the World of AI with Guy Kawasaki 02:11 The Practical Magic of Generative AI 04:30 Personalizing AI: The Creation of KawasakiGPT 05:46 The Evolution of Writing with AI Assistance 08:36 Harnessing AI for Creative and Research Processes 10:57 The Art of Selective Innovation and Storytelling 15:47 Learning from Legends: Steve Jobs and the Art of 'Stealing' 17:21 Exploring the Limits of AI with Steve Jobs GPT 18:57 The Power of Dialogue in AI Interactions 19:26 Real-World Applications of Chat GPT 22:14 Learning from AI: Apologies and Communication 25:26 AI in Negotiations: A Personal Victory 30:24 Enhancing Entrepreneurship with AI 33:11 Reflecting on AI's Impact and Future Possibilities 📜 Read the transcript for this episode: Transcript of I’m Immortal, Baby!” Guy Kawasaki on How to Leave A Legacy Via AI |   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 explore the world of AI-generated imagery with the incredibly creative Salma Aboukar, founder of CREATE. Salma shares her journey from e-commerce to becoming a pioneer in AI-driven creative production, revealing how she harnesses tools like MidJourney, Stable Diffusion, and GPT to transform product photography. It’s a very practical episode for everyone who is looking to use AI to make images for their products, services, and sites. Salma walks us through how these tools can accelerate content creation, elevate brand storytelling, and open new creative possibilities—all without the traditional costs or time constraints of studio shoots. Key Takeaways: Start with a conversation: Engage with GPT conversationally to generate initial ideas and refine your vision for the perfect product image.Leverage MidJourney for aesthetics: While GPT is great for ideation, MidJourney excels at capturing artistic elements like lighting, reflection, and refraction.Upscale for photorealism: Use upscalers like Crea or Magnific to add details and make images look photorealistic, especially when working with GPT-generated images.Experiment with styles: While focusing on photorealism for work, don't be afraid to explore different styles like anime or niche aesthetics for personal projects.Resources Mentioned: CREATE Studio: Salma's platform for creating photorealistic product images using AIhttps://linktr.ee/salmaaboukarSalma on twitterMidJourney, Stable Diffusion, GPT: AI tools used for image generation and ideationCrea and Magnific: AI upscalers for enhancing image details and photorealism📜 Read the transcript for this episode: Transcript of Use AI for Stunning (fast and cheap) Product Images: Insights from Salma Aboukar | Thanks for listening to this episode of Beyond The Prompt! If you enjoyed the conversation, please share it with a friend and subscribe to the podcast on your favorite platform.   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. 

This is really an “do not miss episode”, as we are joined by Ethan Mollick, professor at Wharton and a leading voice on how artificial intelligence is transforming entrepreneurship and education. As an "accidental AI expert," Ethan shares his unique perspective on the AI revolution and provides practical insights for harnessing its potential in business and beyond. Ethan is really an incredible communicator and is one of the leading voices in how to use AI.  Key Takeaways: 1. Treat AI like a person: To get the best results, engage with AI conversationally and work with it like an editor. 2. Use AI for everything you can: The only way to truly understand AI's capabilities is to use it for as many tasks as possible. 3. Be prepared for exponential growth: AI's capabilities are rapidly expanding, so be ready for significant advancements in the near future. 4. AI is a superpower for entrepreneurship: Entrepreneurs can leverage AI to generate ideas, validate concepts, and accelerate experimentation. 5. Culture matters for AI adoption: Mission-driven organizations and startups have an advantage in deploying AI due to their willingness to share and collaborate. Notable Quotes: - "If you haven't had a crisis yet, then you haven't used it enough. And I think that there will be this coverage because the truth is out of the box, it's a huge performance improvement." - "I think modeling serious use is the way you do this. Trusting your employees to some extent is a way that you do this too." - "This is the accelerator that we always needed to make this happen. And entrepreneurs should be embracing this 1 billion percent."   Resources Mentioned: - Ethan Mollick's book on A is called Co-Intelligence LIVING AND WORKING WITH AI - Henrik’s new startup that helps you build a startup from scratch via AI: Audos.com You should follow Ethan on Twitter/X 📜 Read the transcript for this episode: Transcript of What everybody’s missing about AI in business. Ethan Mollick (Wharton Professor) | Thanks for listening to this episode of Beyond The Prompt! If you enjoyed the conversation, please share it with a friend and subscribe to the podcast on your favorite platform.   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 of Beyond the Prompt, we chat with Kevin Williams from Lytho, revealing how they're leveraging AI to improve their marketing and sales function dramatically. From his roots in software sales to pioneering AI in sales tactics, Kevin shares Lytho's journey toward operational excellence and business expansion through generative AI. Unpack the secrets of integrating AI seamlessly, overcoming privacy hurdles, and the tangible benefits it brings to sales and marketing. If you're looking to harness AI's potential or eager for practical insights into its business applications, this episode is packed with Kevin's pro tips for AI-driven success. Kevin Williams  on LinkedIn: https://www.linkedin.com/in/kevinwilliams3/ 📜 Read the transcript for this episode: Transcript of How to Use AI to Boost Your Sales - Kevin Williams (CRO at Lytho) |   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. 

"You Are Not So Smart" podcast host David McRaney and Henrik Werdelin sit down to discuss the surprising results of a new study into what happens when groups of people work together to brainstorm solutions to problems with the help of ChatGPT. Based on their new research, Stanford's Jeremy Utley and best-selling author Kian Gohar have created a new paradigm for getting the most out of AI-assisted ideation, which they call FIXIT. In this episode, we dive into the research and explore how you can become better at getting good ideas with AI. Co-production with  David McRaney's podcast You Are Not So Smart  Including: Jeremy Utley  Kian Gohar  Henrik Werdelin 📜 Read the transcript for this episode: Transcript of New research: Get better ideas with AI (with Kian Gohar, Jeremy Utley, David McRaney, Henrik Werdelin) |   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. 

Beyond The Prompt" shines the spotlight on David Okuniev, the visionary co-founder behind Typeform, as he takes us through the labyrinth of innovation at Typeform Labs. Dive into David's eclectic journey from musician to design maestro and entrepreneurial spirit, which paved the way for Typeform's creation. In this episode, David reveals the ethos driving Typeform Labs, where emerging ideas blossom and new technologies are not just tested but pushed to their limits. Get an insider’s look at the orchestration of international ventures, the spark of radical innovation, and the future of interaction as we know it. Tune in to explore how David's leadership, grounded in authenticity and creativity, disrupts the status quo and shapes the next frontier in AI and product design.   Typeform AI Beta: https://www.typeform.com/ai-features/ 📜 Read the transcript for this episode: Transcript of David Okuniev, Founder Typeform: "Redefining User Experience in the Age of AI" |     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 in this insightful episode of Beyond the Prompt as we explore the multifaceted world of AI with Dan Shipper, Co-founder and CEO of Every. Dan, a pioneer at the intersection of business and technology, shares his unique perspective on using AI as a powerful tool for enhancing both personal life and professional ventures. Discover how custom AI instructions can revolutionize decision-making and streamline processes, leading to impactful changes in daily routines. Tune in for an intriguing discussion on integrating AI into our lives, beyond the hype and into practical, everyday applications. Don't miss this thought-provoking conversation that could change the way you think about and use AI.  Check Every on https://every.to/ and Dan on https://twitter.com/danshipper Disclosure: Henrik is an angel investor in Dan Shipper's company.  📜 Read the transcript for this episode: Transcript of Dan Shipper, Every: "Use AI to make you and your business better" |   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 of "Beyond The Prompt," we delve into the fascinating world of AI and its practical applications in business with JJ Zhuang, Chief Architect at Instacart. JJ shares his journey into AI, sparked by the groundbreaking development of AlphaGo by Google DeepMind. He discusses how this event, combined with his experience at Microsoft, shaped his understanding of AI's potential. We explore how Instacart harnesses AI to revolutionize not just grocery shopping but the entire customer experience. JJ highlights the company's innovative AI initiatives, including the Care AI team's efforts to answer the perennial question, "What's for dinner?" He also delves into the transformative impact of generative AI and large language models on both consumer-facing applications and internal workflows. JJ provides insights into Instacart's adoption of AI across various teams, from marketing to legal, through their AI Catalysts program. He also touches on the creation of an internal AI-powered tool, Ava, integrated into Slack for streamlining communications. This episode offers a deep dive into how AI is shaping the future of e-commerce and the broader business landscape, making it a must-listen for entrepreneurs, business leaders, and AI enthusiasts alike. 📜 Read the transcript for this episode: Transcript of JJ Zhuang, Instacart: "How AI can solve the 'Whats for dinner' problem. |   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 speak with Section's CEO, Greg Shove. Greg Shove is the CEO of Section, an educational technology company. Previously known as Section4, the organization was founded in 2019 by NYU Professor and serial entrepreneur Scott Galloway. Section, under Shove's leadership, focuses on being a new type of business school for the tech economy, catering to a growing base of students interested in this field. Greg brings an awesome perspective, having founded five companies, resulting in three major exits and being at the forefront of reinventing education. Together, we’ll discuss real-world examples of companies using AI-powered tools to increase productivity, boost efficiency, and improve the customer experience. This episode is filled with great tips for people looking to introduce the powers of AI into their company. As an extra holiday gift, Greg has kindly given us a discount code to  AI for Business Mini-MBA (led by Greg, coming up in January). You can use code BEYONDAI to get 20% off. Greg: https://www.linkedin.com/in/gregshove/   📜 Read the transcript for this episode: Transcript of Greg Shove, CEO Section: 'AI is like testosterone for my brain'     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. 

Show launching soon: https://www.beyondtheprompt.ai/     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.