A year ago, Logitech had people experimenting with AI. Today, Eric says he can’t think of a single part of the company that isn’t building, exploring, or creating something with it.

Eric shares what helped make that happen. There’s a Build Advisor that helps employees figure out what to build and connects them with people who may have already worked on something similar. AI in Action moments are now part of company and leadership meetings. And before leadership presents to the board, there’s an expectation that their work goes through an AI Board Advisor first.

Henrik, Jeremy, and Eric also get into what comes next: how to measure whether all this AI activity actually creates value, why Eric built AI systems to manage his own information overload and sleep, and why creating something new should come with another question: what old report, process, or way of working can now disappear?

Key Takeaways

• Embed AI into how work gets done
  AI becomes more valuable when it’s built into existing workflows and expectations, rather than simply made available for people to use.
• Make AI adoption visible and repeatable
  Logitech keeps AI present through AI in Action moments, leadership routines, office hours, shared Gems, and a 175-person volunteer Champions Network.
• Build resources that help people help themselves
  Tools like the Build Advisor give employees a place to start, surface work that already exists, and connect them with colleagues who have tackled similar problems.
• Ask what you can stop doing
  Eric argues that every new AI-enabled artifact should come with another question: what old report, process, or way of working can now disappear?

Eric's website: porres.com/
Eric's LinkedIn: linkedin.com/eporres/
Logitech: www.logitech.com/

00:00 Embedding AI Into the Workflow
00:52 Meet Eric Porres
01:15 The Cambrian Explosion of AI
06:20 Measuring the Value of AI
11:16 The Build Advisor
16:12 Keeping Up With AI
19:43 Making AI Part of the Culture
21:37 The AI Board Advisor
25:51 Building an AI Champions Network
29:15 Eric’s Personal AI Stack
32:17 The AI Vampire Problem
40:59 Building a Deep Memory
46:49 What Can AI Help You Delete?
55:19 The Debrief

📜 Read the transcript for this episode: Here!

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/werdelin
Jeremy: https://www.linkedin.com/in/jeremyutley

Show edited by Emma Cecilie Jensen.

Most companies know how to innovate. Far fewer know how to scale innovation.

Charles introduces the explore versus exploit framework, explaining why the same systems that help organizations succeed today can make them resistant to change tomorrow. As companies mature, they become better at serving existing customers, improving existing products, and optimizing existing processes. The harder question is how to create space for experimentation without undermining the business that already exists.

Henrik, Jeremy, and Charles explore what this means in the age of AI. They discuss whether AI should be viewed as a substitute or a complement, why Microsoft's transformation under Satya Nadella succeeded, how Amazon has built exploration into its operating system, and why leaders don't create adaptable organizations through vision alone. They do it by shaping culture through incentives, systems, and the behaviors they reward.

Key Takeaways:

• The biggest challenge isn't generating ideas. It's scaling them.
  Many organizations are good at innovation. The difficult part is giving promising ideas the support they need to grow.
• Great companies become trapped by what made them successful.
  The metrics, incentives, and culture that optimize today's business can make it harder to adapt to tomorrow's.
• Culture is built through systems.
  Leadership principles only matter when they're reflected in hiring, incentives, performance reviews, and everyday behavior.
• The goal isn't to predict the future. It's to discover it.
  The most adaptable organizations build processes that help them experiment, learn, and uncover new opportunities as the world changes.

Charles' Stanford profile: stanford.edu/faculty/charles-oreilly

00:00 Intro: Why Companies Die Fast
00:36 Meet Charles O'Reilly
02:01 Explore Versus Exploit
03:50 AI Substitute Or Complement
06:51 Adaptability As Culture
09:19 Resistance To Change
12:32 Microsoft Culture Turnaround
15:25 Ambidexterity And Lifespans
18:20 Ideate Incubate Scale
20:10 Scaling Needs Separation
24:44 Amazon PRFAQ Machine
34:33 Rituals And Failure Signals
38:05 The Debrief

📜 Read the transcript for this episode: here!

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/werdelin
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Show edited by Emma Cecilie Jensen.

The conversation begins with an experiment that caught Jeremy's attention. Dan asked ChatGPT to tell him what his friends wouldn't. From questions about his blind spots to what people might say behind his back, some responses felt completely wrong, while others landed with surprising force. Rather than accepting every answer, Dan explains why the real value comes from wrestling with AI's perspective, not simply believing it.

From there, Henrik, Jeremy, and Dan explore what it takes to use AI well. They discuss intellectual humility, prompting models to challenge rather than flatter us, and why AI works best as a sparring partner that exposes weaknesses in our thinking. The conversation also touches on taste, agency, and why, in a world where execution is becoming easier, discernment and original thinking become even more valuable.

Key Takeaways:

• Use AI to make your thinking visible
  The best AI conversations don't just generate answers. They help you understand your own assumptions, reactions, and ideas more clearly.
• Treat AI as a sparring partner
  Challenge AI's responses, ask it to critique your work, and use it to strengthen your thinking rather than replace it.
• Taste is developed by creating
  As AI makes execution easier, judgment and discernment become more valuable. The best way to develop both is by creating, not just consuming.
• Agency depends on context
  People don't become more agentic through willpower alone. The right environment, with autonomy and room to take risks, makes initiative possible.

Daniel's website: danpink.com
LinkedIn: linkedin.com/danielpink
AI Self-Reflection Prompts: danpink.com/ai-guide/

00:00 AI as a Brutally Honest Advisor
00:32 Meet Daniel Pink
00:47 AI for Self-Knowledge
01:40 A Brutally Honest AI
06:10 What Do People Say Behind Your Back?
07:45 Should You Trust AI's Advice?
13:28 The Fear of Irrelevance
17:44 Intellectual Humility
20:04 AI as a Sparring Partner
24:35 Teaching AI to Think Like You
27:38 Why Taste Matters
29:59 Agency Starts with Context
37:08 A Future That's a Little Better
41:49 Nostalgia vs. Reality
45:18 The Debrief

📜 Read the transcript for this episode: Here!

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/werdelin
Jeremy: https://www.linkedin.com/in/jeremyutley

Show edited by Emma Cecilie Jensen.

Geoff Woods returns to Beyond the Prompt to discuss the updated edition of The AI-Driven Leader and what has changed over the past 18 months. Rather than focusing on the latest AI models, Geoff argues that leaders need to use AI themselves before asking others to, using it to think more clearly, shape strategy, and make better decisions.

The conversation explores why many organizations confuse access with adoption, why strategy should come before use cases, and how AI can change the way leaders approach everything from business strategy to organizational design. Along the way, Henrik and Jeremy challenge Geoff's ideas on authorship, judgment, and whether understanding AI changes what leaders believe is possible.

Key Takeaways:

• Leaders need to use AI themselves
  Using AI personally is what qualifies leaders to shape strategy and lead others from practice rather than theory.
• Use AI to improve your thinking
  The biggest opportunity isn't automating work. It's using AI to think better, solve better problems, and imagine new possibilities.
• Start with problems, not use cases
  Begin with the biggest challenges facing the business, then use AI to rethink how to solve them.
• AI still needs human judgment
  AI can generate ideas, but people are still responsible for reviewing the output and standing behind it.
• Focus AI on your highest-value work
  Use AI to amplify the small set of activities where your human strengths create the greatest impact.

The AI-Driven Leader: aileadership.com
Geoff's LinkedIn: linkedin/geoff-woods

00:00 Are You Qualified to Lead on AI?
00:35 Meet Geoff Woods
00:54 The AI Slop Dilemma
05:48 Putting Your Stamp of Approval
09:19 What Changed in 18 Months
12:13 Access Isn't Adoption
15:50 Why Leaders Can't Delegate AI
20:09 Strategy Before Use Cases
22:02 BarkBox's AI Strategy
26:23 Reinventing Strategy with AI
33:11 Compressing Months into Hours
37:22 Human Skills as Superpowers
42:46 The Debrief

📜 Read the transcript for this episode: are-you-qualified-to-challenge-your-team-on-ai-with-geoff-woods-author-of-the-ai-driven-leader/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/werdelin
Jeremy: https://www.linkedin.com/in/jeremyutley

Show edited by Emma Cecilie Jensen.

Christian believes the AI era will be defined less by generating outputs and more by evaluating them. As intelligence becomes cheaper and more accessible, the people who create the most value may be those who can distinguish good work from exceptional work and help guide increasingly capable systems.

The conversation explores verification, judgment, and why expertise still matters in a world where AI can perform many tasks at a high level. Christian explains why today's experts are both highly valuable and simultaneously training the systems that may eventually replace parts of their work.

Jeremy and Henrik also explore what this means at a personal level. They discuss building AI agents that reflect your own preferences, creating personal verification systems, and why AI may make it easier to learn new skills, switch careers, and pursue more ambitious ideas.

Key Takeaways:

• Verification becomes more valuable as intelligence gets cheaper
  As AI makes generating outputs easier, the ability to recognize what is actually good becomes increasingly important.
• Experts are training their own replacements
  The people best positioned to verify AI outputs are also helping codify the expertise that trains future systems.
• Human value shifts from doing to directing
  As AI handles more execution, people create value through judgment, direction, and orchestration.
• Build your own verification system
  The best AI users are developing agents, workflows, and tools that reflect their own preferences and standards.

Christian's LinkedIn: linkedin.com/ccatalini/
Christian's X: x.com/ccatalini
Christian's website: catalini.com
Economics of AGI: full paper
Jeremy's Persona File Template: YouTube/The8Files

00:00 Non-Measurable Frontiers
00:32 Meet Christian Catalini
01:08 The Economics of AGI
03:09 Why Verification Matters
06:37 Can Everything Be Measured?
10:32 The Rise of the Verifier
14:35 When Intelligence Gets Cheap
21:46 Building Your Verification Harness
24:08 Human + AI Augmentation
30:18 Persona Files and Privacy
33:12 Reasons for Optimism
36:00 Career Switching in the AI Era
39:31 The Debrief

📜 Read the transcript for this episode: the-unexpected-economics-of-agi-with-christian-catalini-tech-founder-and-co-creator-of-libra/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/werdelin
Jeremy: https://www.linkedin.com/in/jeremyutley

Show edited by Emma Cecilie Jensen.

Chantel Prat studies how different brains make sense of the world. Her work starts from a simple idea: every experience leaves a mark. The inputs we consume shape how we think, what we notice, and ultimately who we become.

The conversation explores why people often choose familiar rewards over uncertain opportunities to learn. Chantel explains the tension between exploration and exploitation, why curiosity is essential for growth, and how fear can prevent us from engaging with new technologies like AI.

They also discuss theory of mind, cognitive offloading, and what happens when we increasingly rely on AI for thinking. The goal is not simply to do better work, but to use AI in ways that help us become better versions of ourselves.

Key Takeaways:

• Curiosity requires safety
  When people feel threatened, they become defensive rather than exploratory. Fear gets in the way of learning.
• Better inputs create better outputs
  Every experience leaves a footprint on the brain. The ideas, conversations, and information we consume shape how we think and who we become.
• We naturally favor certainty over exploration
  Our brains are biased toward familiar rewards, even when something new may offer greater long-term value.
• Curiosity starts with admitting you might be wrong
  Learning requires recognizing that you do not already have the answer. Without that openness, exploration never begins.
• Use AI to become better, not just produce more
  The most important question is not what AI can do for you, but what you still want to get better at yourself.

Chantel Prat: linktr.ee/chantelprat
The Neuroscience of You: The-Neuroscience-of-you/book

00:00 Curiosity Versus Threat
00:31 Meet Chantel Prat
01:02 Why Input Shapes Brains
04:08 The Output Pressure Trap
05:52 Exploration Versus Exploitation
10:05 Average Brains And Teams
15:35 Theory Of Mind Defined
22:12 Practicing With AI Feedback
24:31 Offloading Thinking To AI
29:50 Humans In The Loop
35:16 Age And Tech Reactions
42:15 Why Curiosity Requires Safety
48:15 Personal Codex And AI
50:54 Becoming More Yourself
54:34 The Debrief

📜 Read the transcript for this episode: why-fear-kills-curiosity-and-what-that-means-for-ai-with-chantel-prat-cognitive-neuroscientist/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/werdelin
Jeremy: https://www.linkedin.com/in/jeremyutley

Show edited by Emma Cecilie Jensen.

Eric Ries, author of The Lean Startup and the newly released Incorruptible, joins Beyond the Prompt to explore why most companies drift from their original mission over time. The conversation dives into governance, shareholder primacy, Anthropic’s unusual structure, and why AI makes these questions more important than ever.

Eric Ries argues that most companies are built on a contradiction. Founders say they care about customers and impact, but legally, the company is structured to serve shareholders first. Over time, that mismatch tends to win.

The conversation explores what that looks like in practice, why it is so hard to fix, and how a small number of companies have tried to design around it from the beginning. Eric reflects on advising Anthropic in its earliest days and what it actually takes to protect a mission as a company scales.

A big part of the discussion is how governance gets treated as a legal formality when it is really a design problem. In the age of AI, Eric argues that the principles baked into a company’s structure early on may determine whether it stays true to its mission or slowly drifts away from it.

Key Takeaways:

• Mission drift is often built in from day one
  Founders may say they care about customers and impact, but legally the company is structured to serve shareholders first. Over time, that mismatch tends to win.
• Governance is one of the highest leverage founder decisions
  If the structure is misaligned early on, founders can lose control of the company and its mission no matter how strong the original vision was.
• The system is stacked against mission-driven founders
  Even well-intentioned founders operate inside structures designed to prioritize short-term shareholder returns. Most do not realize it until it is too late.
• “Why not try?” is more powerful than it sounds
  Eric’s argument is not that fixing governance is easy. It is that most founders never even ask the question.
• AI makes this more urgent than ever
  As AI systems act more autonomously, the principles built into a company early on will shape whether it stays true to its mission or drifts away from it.
  

Eric's new book:
Amazon: Incorruptible
Website: incorruptible.co
Socials:
X: x.com/ericries
LinkedIn: linkedin.com/ericries
The Lean Startup: theleanstartup.com

00:00 Mission vs Shareholder Value
00:32 Meet Eric Ries
01:37 Why Anthropic Needed Governance
06:47 The Long-Term Benefit Trust
10:00 Why Great Companies Drift
13:47 From Lean Startup to Incorruptible
18:14 Is It Too Late To Fix?
23:06 Governance As A Superpower
25:48 The Lies Founders Tell Themselves
28:49 The Rise Of Shareholder Primacy
33:09 The Unaccountability Machine
35:51 Profit vs Human Flourishing
37:24 The ROI Trap
38:26 The H-E-B Loyalty Story
41:14 Principles Beyond Metrics
42:54 AI, Thick Data, And Human Judgment
46:43 The Debrief

📜 Read the transcript for this episode: why-your-favorite-brand-stopped-caring-about-you-eric-ries-author-of-the-lean-startup/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/werdelin
Jeremy: https://www.linkedin.com/in/jeremyutley

Show edited by Emma Cecilie Jensen.

Ryan Holiday argues that while AI can generate outputs, it cannot generate wisdom. Drawing on a story from Seneca about a Roman who used educated slaves to sound intelligent, he compares outsourcing thinking to outsourcing exercise: the value comes from becoming the kind of person who can do the work, not simply producing the answer.

The conversation explores the difference between useful cognitive offloading and surrendering judgment entirely. Ryan explains that while tools like GPS may replace navigation skills without much consequence, writing, decision-making, and critical thinking shape the person on the other side of the process. AI, he argues, tends to amplify existing tendencies. People satisfied with mediocre work will settle faster, while people pushing for exceptional work can use AI to refine and challenge their thinking.

Throughout the episode, Stoicism serves as a counterweight to both panic and hype. Change and uncertainty are constants throughout history, not exceptions. Ryan reflects on leadership, family, adaptability, and skepticism, arguing that in a world where AI can confidently produce both insight and nonsense, the ability to question, verify, and think independently becomes increasingly valuable.

Key Takeaways:

• You cannot outsource wisdom
  AI can generate answers, but judgment and understanding still come from doing the work yourself.
• AI amplifies who you already are
  People who settle for mediocre work will do so faster with AI. People who push for better work can use it to deepen and refine their thinking.
• Bullshit detection is becoming a core skill
  As AI produces increasingly convincing answers, skepticism and verification become essential.
• Change is not new
  The Stoics viewed uncertainty and disruption as constants of human life. AI may feel unprecedented, but humans have always had to adapt to major change.
• Agency matters more than ever
  You cannot control technological change, but you can control how you respond to it and how you choose to use it.
  

Ryan's website: ryanholiday.net
Daily Stoic: dailystoic.com/podcast/

00:00 Intro: You Can’t Outsource Wisdom
00:29 Meet Ryan Holiday
02:03 The Dream Was To Work Less
03:07 Who Actually Gets The Time?
06:32 Leadership, Culture, And Family First
08:38 How Will You Measure Your Life?
10:11 The Stoic View Of Change
14:44 AI Hallucinations And Shameless Confidence
17:21 You Cannot Outsource Wisdom
19:08 Cognitive Offloading Vs Real Understanding
20:22 Ego, Flattery, And AI
22:52 AI As Editor And Thought Partner
24:59 Mediocre Vs Exceptional Work
31:15 Why Bullshit Detection Matters
38:06 Stoicism, Agency, And Adapting To Change
43:31 The Debrief

📜 Read the transcript for this episode: you-cant-outsource-wisdom-bestselling-author-ryan-holiday-on-what-the-stoics-have-to-say-about-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/werdelin
Jeremy: https://www.linkedin.com/in/jeremyutley

Show edited by Emma Cecilie Jensen.