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Beyond The Prompt - How to use AI in your company

Jeremy Utley & Henrik Werdelin
Beyond The Prompt - How to use AI in your company
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  • AI’s Next Frontier: World Models Explained by Christian Keller
    In this episode, Christian Keller joins Henrik and Jeremy to explain how world models are shaping the next stage of generative AI. He talks through how AI learns using different types of inputs, and why video adds a sense of continuity, change, and cause and effect that text alone does not provide. Christian shares vivid analogies and clear examples to show what multimodal models make possible.The conversation moves into how AI is now used throughout the research process, from generating synthetic data to evaluating model outputs. Christian shares how this loop is already in motion and how AI is helping scale and accelerate experimentation. He also reflects on the shift after ChatGPT launched, and how that changed the pace and structure of research work.Later in the episode, Christian describes how individual workflows are evolving, and how asking simple questions like “Could AI help with this?” often opens new possibilities. He shares examples from his own work and home life, including how his wife built and graded her own French exercises using generative tools.Key Takeaways:Text removes essential informationChristian explains that text compresses reality and loses detail, context and temporality. Images and video help restore what text leaves out.World models give AI a sense of changeVideo introduces the before and after and how things move or enter a scene. This helps models learn cause and effect and builds more robust understanding.AI helps build AIModels can generate data, evaluate results and support researchers during development. Christian shows how this creates new ways of scaling experimentation and training.Workflows shift when AI handles early stepsChristian shows how tasks like debugging and prototyping change with generative tools, which reshapes roles and opens new opportunities for innovation.LinkedIn: Christian Keller | LinkedIn00:00 Intro: Information Compression00:37 Meet Christian Keller: AI Expert01:13 The Evolution of AI Products02:11 Impact of ChatGPT on AI Development02:38 Understanding PyTorch and Its Role07:41 The Bitter Lesson in AI09:12 Challenges and Future of AI Models18:57 Using AI to Build AI23:25 Innovative Chat Interfaces23:41 Building the Autos Platform24:35 Epiphanies in AI Integration25:18 AI in Entrepreneurial Workflows26:32 Challenges in AI Integration31:15 Bias in AI Models38:06 Debrief  For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.
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  • Teaser: Inside Our Debrief of “AI’s Next Frontier with Christian Keller”
    In this teaser, Jeremy and Henrik break down their immediate takeaways from their conversation with Christian Keller, including model fidelity, hallucinations, and the surprising ways AI is already reshaping everyday workflows.Full episode drops tomorrow. For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.
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  • How Science Suggests You Change Your Organization - with Prosci’s Tim Creasey and Paul Gonzalez
    Generative AI is moving fast, but most organizations aren’t. Tim Creasey and Paul Gonzalez have spent their careers studying why. As leaders at Prosci, they’ve worked with thousands of teams navigating complex change, and in this episode they share what their research says about the human side of transformation.They discuss why traditional tactics like comms and training break down in the face of rapid AI adoption, and how successful organizations create the conditions for people to actually change. From hands-on leadership and peer-driven learning to the power of experimentation and the ADKAR model, this conversation is packed with practical tools and hard-earned insights.Tim and Paul also explore how AI is reshaping organizational structures, what “exposure hours” reveal about executive readiness, and why culture beats mandates every time. Whether you’re leading change or stuck inside it, this episode offers a grounded look at what actually works when everything is in motion.Key takeaways:Bold vision is not enough - it also needs to be balancedThe most effective AI leaders communicate both where the organization is going and what teams are doing right now to get there. Prosci’s research shows that near-term clarity matters just as much as long-term ambition.Leaders need to use the tools themselvesTim and Paul introduce the idea of “exposure hours” as a leading indicator of readiness. The more time executives spend actively experimenting with AI, the better positioned they are to lead transformation.Experimentation requires structure and safetyOrganizations can’t just tell people to try new things. They need to carve out time, reduce the stakes, and make experimentation a shared and visible part of how work gets done.Real change still happens one person at a timeDespite all the new tech, the fundamentals haven’t changed. Individuals need awareness, desire, knowledge, ability, and reinforcement to adopt new behaviors. Prosci’s ADKAR model remains essential for making change stick.LinkedIn: Prosci: LinkedInWebsite: Prosci | The Global Leader in Change Management Solutions00:00 Introduction to Change Management and AI Adoption00:25 Meet the Experts: Tim Creasey and Paul Gonzalez01:51 The Challenges of Change Management04:07 Generative AI Transformation: Unique Challenges07:44 Key Ingredients for Successful AI Adoption15:18 Building a Culture of Experimentation20:43 The Role of Leadership in AI Transformation25:54 Future Organizational Designs with AI27:02 Disruptive Organizational Changes28:00 Examples of Innovative Enterprises28:15 Military Analogies in Business29:30 Challenges in Organizational Change30:36 Timeless Principles of Change Management31:36 The Role of Leadership in Change33:13 ADKAR Model for Change35:51 Addressing Resistance to Change40:05 Effective Communication Strategies47:48 Concluding Thoughts and Reflections📜 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.
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  • You Can’t Vibe Code a 100-Ton Truck: Inside Applied Intuition’s Approach to Safety-Critical AI
    Applied Intuition builds the kind of AI you don’t see, but can’t live without. Co-founders Qasar Younis and Peter Ludwig share how their $15 billion company powers vehicle intelligence across cars, trucks, tanks, mining equipment, and defense systems operating in some of the most demanding conditions on earth.They explain why combining AI with safety-critical systems raises the stakes, how a single mistake can destroy an entire company, and why so many autonomy startups ended up in the “graveyard.” The conversation explores the slow, methodical path to real autonomy, the hidden complexity of machines that run nonstop, and why consumer AI metaphors break down once software meets the physical world.Qasar and Peter also reflect on how Applied uses AI internally, how their principle of “radical pragmatism” keeps innovation grounded, and what it takes to move fast without breaking things when lives and livelihoods are on the line. From six-figure labor shortages in remote mines to the future of defense and logistics, this episode reveals how AI is quietly transforming the physical world — one carefully coded system at a time.Key Takeaways:Safety changes everything about AIWhen AI moves from the screen to the real world, the rules change. Qasar and Peter explain why building for trucks, tanks, and jets demands a different kind of discipline — one where precision and safety replace speed and iteration.The graveyard of autonomy is realThere’s a long list of companies that underestimated what it takes to build safe, reliable autonomy. Applied Intuition’s founders share what went wrong — and why moving slower has been their biggest advantage.Radical pragmatism is the hidden differentiatorInside Applied Intuition, “radical pragmatism” isn’t a slogan — it’s a practice. Qasar and Peter describe how it guides product decisions, culture, and leadership, helping them innovate in places where failure isn’t an option.The next frontier of AI is off the screenFrom mines to military systems, the future of AI won’t be chatbots — it will be machines that think, move, and decide in the physical world. Jeremy and Henrik reflect on how that shift raises the bar for builders, leaders, and the technology itself.Applied Intuition: http://applied.co/LinkedIn: linkedin.com/AppliedX: https://x.com/Applied00:00 Intro: Safety Critical Systems00:33 Meet the Founders of Applied Intuition01:09 Understanding Applied Intuition's Unique Approach03:02 The Human-Machine Teaming Concept07:26 Challenges in Autonomous Driving16:39 AI in Industrial Applications28:27 Future of Fighter Jets and AI29:50 AI in Applied: Coding Tools and Beyond33:16 Radical Pragmatism and AI Integration36:03 Challenges of AI Adoption in Large Organizations39:56 Human and Technical Challenges in AI42:02 Innovation and Organizational Structure48:38 Reflections on AI and Future Prospects📜 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.
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  • How IBM Used AI to Cut 40% of HR Operating Costs and Reinvest in the Company
    As Head of IBM Consulting, Mohamad Ali led one of the most ambitious enterprise AI transformations to date. By making IBM its own “Client Zero,” his team tested every AI solution internally before bringing it to market. The effort began with massive hackathons involving 150,000 employees, turning curiosity into capability and belief at scale. Mohamad shares how leadership alignment, process redesign, and broad employee engagement drove $3.5 billion in cost savings and renewed growth. Jeremy and Henrik reflect on why IBM’s model may signal the next evolution of consulting — where organizations act as their own laboratories for changeKey Takeaways:Start with Yourself: “Client Zero” WorksIBM transformed internally before advising clients, using its own systems as a testing ground. This allowed the team to validate AI tools, workflows, and cultural shifts in real conditions, creating credibility and clarity before going to market.Transformation Needs More Than TechSuccess came from a mix of technical leadership, process redesign, and cultural momentum. AI wasn’t just layered on; it was embedded into workflows, backed by leadership buy-in, and powered by 150,000 employees who participated in company-wide hackathons.Digital Labor Is Reshaping Business ModelsIBM automated most transactional HR tasks with AI tools like AskHR, driving a 40% reduction in HR operating costs — a look at how hybrid human–AI teams transform services.Measure and Share the ImpactTransformation became real when IBM tied outcomes to business metrics. By reporting $3.5 billion dollars in savings and tracking results with the CFO, IBM showed how to make AI adoption tangible, accountable, and visible to both employees and investors.LinkedIn: Mohamad Ali - IBM | LinkedInIBM: IBM00:00 Intro: HR Automation00:41 Introduction of Mohamed Ali and IBM's Transformation01:14 IBM's Enterprise Transformation01:41 The Role of AI in IBM's Success03:25 Rejoining IBM: A Strategic Decision04:33 Key Components of AI Implementation07:21 Employee Engagement and Hackathons08:59 Technical Leadership and AI10:37 Global Tax Optimization with AI11:17 Scaling AI Solutions for Clients22:00 Monetizing Digital Labor26:50 Digital Labor and Procurement Projects27:29 Unbundling and Economic Implications28:44 Technological Shifts and Market Expansion30:04 AI-Powered Business Transformations32:22 Case Study: L'Oreal's AI Integration39:13 HR Automation and Cost Reduction42:09 Creative Innovations in AI Applications43:59 Advice for Leaders on AI Integration45:43 Final thoughts📜 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.
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Beyond the Prompt dives deep into the world of AI and its expanding impact on business and daily work. Hosted by Jeremy Utley of Stanford's d.school, alongside Henrik Werdelin, an entrepreneur known for starting BarkBox, prehype and other startups, each episode features conversations with innovators and leaders to uncover pragmatic stories of how organizations leverage AI to accelerate success. Learn creative strategies and actionable tactics you can apply right away as AI capabilities advance exponentially.
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