Atlas Copco Group · Never Stop Learning · 12 October 2026
There is always
a better way.
The future of AI starts with something you can do.
Thank you for spending this hour with me. I wanted to bring the future of AI home to your own working day: a task that frustrates you, a question you want to explore, a skill you want to develop, or a colleague you could help.
Here are the stories, frameworks and practical starting points from the session. Take the part that matters to you. Try it, question the result and make the next attempt better.
Choose your starting point
Your next useful interaction.
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I can change how I work.
Karin's story, the six value vectors and the move from waiting to trying.
Something keeps getting in my way.
The complete Painkiller Protocol: define the problem, explore a small change and build a repeatable way of working.
What would my own AI colleague do?
Pocket agents, Marvin, an AI team and the questions that matter before handing over work.
I want to keep learning.
The Four Jobs, conversations with Copilot and a 12-week plan you can adapt to your own work.
I want us to work better together.
Kasparov, useful feedback, the circles of concern and control, and the Four Principles.
Give me the links and the questions.
The presentation, resources I referred to, the recorded Q&A and material you can let your own AI read.
One thing
What will you try next?
It does not have to be a grand project. Choose something close enough to your own work that you can recognise a useful result. If you already use AI every day, choose a way of working that deserves a better conversation.
When something helps, show a colleague. When it does not, keep the question and what you learned. That is how one person's discovery becomes a team's capability.
Find my next step
I want to put one idea from today's AI session into practice. Here is my work and what currently gets in my way: [add your context]. Ask me one useful question at a time. Help me choose a small experiment I can carry out with the tools and access I already have. Define what a useful result would look like and how I can check it. Do not turn this into a large project.
The next conversation
Tell me what you try.
I am interested in what happens when these ideas meet your everyday work. A useful discovery, a stubborn problem, a better question: all good reasons to reconnect.
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About this companion and its sources
Prepared from the final 33-page presentation, the Circleback session transcript and selected frames from its screen-share recording. The pages follow the delivered talk and expand its methods into practical exercises. They are an edited companion, not a verbatim transcript.
Karin, Marvin and my working setup are my accounts of experience. The Kasparov framework is my teaching interpretation. The fear curve is an illustration. The 16-hour learning plan is a target-based example, not measured savings. Product snapshots and broad statistical claims have not been republished as current facts.
The recorded closing questions are paraphrased without attendee names. Meeting-chat contributions and full poll results will be added after they have been supplied and reviewed. The raw recording, private context and source transcript are not published here.
AI + JJ · 12 October 2026. No added analytics, sign-in or data collection. The appearance preference is stored only in your browser. External links have their own services and policies.