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

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.