After helping lead AI adoption at Moderna, Brice Chalamel has a new goal at OpenAI: help create 1,000 AI adoption success stories across large organizations.

Brice takes Henrik and Jeremy inside how work happens at OpenAI, where Slack has largely replaced internal email, agents help process information and draft responses, and some workflows are already moving agent to agent. But as AI takes on more responsibility, Brice argues that trust can’t be mandated. It has to be earned.

The conversation goes beyond tools into what it actually takes to lead people through change. Brice explains why, in a ten-step journey, nine steps may only be halfway, why our existing mental models shape how we respond to AI, and why leaders need to listen before trying to change someone’s mind.

They also explore Brice’s idea that AI could move us from “knowledge workers” to “intelligence workers,” a personal story about his mother using ChatGPT while caring for his father with Alzheimer’s, and why the benefits of AI need to extend beyond the people already living in abundance.

Key Takeaways

Brice's LinkedIn: linkedin.com/in/bricechallamel/

00:00 Intro: From Knowledge Worker to Intelligence Worker
00:30 Meet Brice Chalamel
01:18 From Moderna to OpenAI
04:50 The Mission: 1,000 AI Success Stories
07:45 How Work Happens at OpenAI
08:59 When Agents Talk to Agents
10:56 Trust Has to Be Earned
15:22 Brice’s Principles for Change
16:45 Nine Steps Is Halfway There
25:21 The Mind Game
30:24 Why Leaders Resist AI
35:28 The Human Side of AI
37:37 When ChatGPT Became a Lifeline
41:56 From Knowledge Worker to Intelligence Worker
43:37 Agency in the AI Era
46:31 Who Gets to Benefit From AI?
51:39 What Our Fear of AI Reveals
56:18 Listen Before You Think
01:03:07 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:

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Show edited by Emma Cecilie Jensen.

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

Eric's website: porres.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:

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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: 

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: 

Daniel's website: danpink.com

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

For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:

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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:

The AI-Driven Leader: aileadership.com

📜 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
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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: 

Christian's LinkedIn: linkedin.com/ccatalini/

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

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.

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:

Chantel Prat: linktr.ee/chantelprat

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
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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.

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: 

Eric's new book:

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
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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: 

Ryan's website: ryanholiday.net

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
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Show edited by Emma Cecilie Jensen.

Laura Jones explains that generative AI is raising the bar for creativity. When everyone can produce “pretty good” content, the real challenge is creating something that actually stands out. The risk is not poor output, but settling too quickly for what already works.

She argues that as products become more similar, brand becomes a signal of trust. Not in a visual sense, but in the experience behind it. At Instacart, that shows up in details like how a banana is selected. With over a billion bananas delivered and millions of orders including notes on ripeness, customers are expressing very specific preferences. That behavior led to both new product features and the creative idea behind their Super Bowl campaign.

The conversation also explores how teams should work with AI. While it can automate repetitive tasks and speed up iteration, it can also create a tendency to agree with what’s generated, especially when working alone. Laura emphasizes that the best ideas still come from people challenging each other, building on different perspectives, and pushing beyond the first acceptable answer.

Key takeaways: 

Instacart: instacart.com

00:00 Intro: Originality vs AI Complacency
00:27 Meet Laura Jones
01:23 Brand as trust when products converge
03:50 Personalization and reducing mental load
06:24 What still matters in marketing
10:33 Why need-finding cannot be shortcut
14:09 Using AI without losing judgment
16:33 New channels and where customers actually are
21:35 Why “dopey ideas” matter
25:42 Human plus bot plus human
28:44 Inside the Super Bowl ad
31:47 From banana insight to product
34:49 Taking creative risks at scale
37:34 Fear, pressure, and team chemistry
46:24 AI and faster prototyping
53:26 The 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/werdelin
Jeremy: https://www.linkedin.com/in/jeremyutley

Show edited by Emma Cecilie Jensen.