--- title: "Never Stop Learning: resources" client: "Atlas Copco Group" language: en date: "2026-10-12" version: "1.0.4" canonical_url: "https://20261012.jardenberg.net/resources.html" --- 05 / Keep going # The material. The next conversation. The session ends. Your opportunity to explore does not. ## The presentation and guides. [Session slides / PDF ### The full presentation. The 33-page final deck from 12 October. The companion explains the frameworks and demonstrations that the slides alone cannot show. ](https://20261012.jardenberg.net/downloads/20261012-nsl-keynote.pdf)[Practice ### The complete Painkiller Protocol. Three conversations, copyable prompts and a reusable working kit. ](https://20261012.jardenberg.net/painkiller.html)[Learning plan ### Twelve weeks to a better way of working. The on-screen example, a sequence to adapt and a prompt for your own plan. Targets remain targets until tested. ](https://20261012.jardenberg.net/learning.html#twelve-weeks)[Feedback ### A more useful conversation with AI. The feedback shown in the session, explained and turned into a practical exercise. ](https://20261012.jardenberg.net/partnership.html#feedback) Your answers in the session ## A thinking partner. And a better working day. The poll had 75 responses. A thinking partner when you are stuck was the most selected option, followed by less repetitive admin and turning ideas into action. That is a useful place to start: bring AI into a piece of work that matters to you. Selections shown in the session poll | What you want from AI | Selections | | --- | --- | | A thinking partner when I’m stuck. | 44 | | Less repetitive admin. | 39 | | Turning ideas into action. | 35 | | Honest feedback that helps me improve. | 25 | | I’m still figuring it out. | 7 | | Select all | 9 | The screenshot shows 75 responses and 159 selections. These are selection counts, not mutually exclusive groups of people. The “Select all” entry is kept as shown. From the chat ## What you want to try. You shared plenty of concrete starting points: make AI a daily habit, save useful prompts, explore agents, improve a presentation, work with data and learn together. One reflection stood out: AI had mostly been a way to gather information and correct text, and the session opened up a wider range of possibilities. Here are five ways to turn those intentions into a next step. These are edited themes from the chat, with a route into the material. [01 ### Invite AI into your everyday work. Use it as a thinking partner, not only when you need a quick answer. Bring a real task or question to the conversation and keep your own judgement in it. ](https://20261012.jardenberg.net/learning.html#conversation) [02 ### Save the prompts that help. Keep the context and approach behind a useful result. Karin's story includes a prompt you can adapt to create your own reusable starting point. ](https://20261012.jardenberg.net/agency.html#karin) [03 ### Explore an agent with a clear job. The chat mentioned pocket agents, teams of agents and recurring tasks. Start with one job, the context it needs and how you will check its work. ](https://20261012.jardenberg.net/agents.html#direction) [04 ### Choose one task worth improving. Presentations, PDF-to-spreadsheet work and exploring Copilot with Power BI were examples in the chat. Use the Painkiller Protocol to define the task before choosing a tool you are authorised to use. ](https://20261012.jardenberg.net/painkiller.html) [05 ### Learn with your colleagues. Share useful discoveries, celebrate progress and learn from attempts that need another round. Keep people involved and work within your organisation's guardrails. ](https://20261012.jardenberg.net/partnership.html#principles) Based on four chat screenshots containing 32 visible participant messages. This is an anonymised synthesis of those excerpts, not a complete chat export or evidence that everyone has access to the tools mentioned. From the recorded Q&A ## How does an AI team work together? ### Is this a multi-agent setup? Yes. I described using different agents and services for different strengths, with a coordinating agent managing tasks. It is a designed way of organising my work, not a claim that every item in my catalogue is an independently running agent. ### Can the agents interact on one task? In my setup, they can hand work over through a shared working space. One task might produce a source summary, another a research note and another a draft. The next contributor can read what already exists and continue from it. The useful idea is a clear handover: what was asked, what was found, what remains uncertain and what the next task needs. You can practise that with one AI conversation before building a more elaborate system. These two questions were spoken in the closing Q&A and are paraphrased without attendee names. A question from the chat ## How does this fit your own toolset? A participant asked how my advanced setup and everyday use of AI could be mapped to Atlas Copco's approved and available tools. That is a bigger undertaking than I can do justice to in this post-session material. I’m pretty sure there are colleagues inside Atlas Copco already working on it. Find them. Build internal connections and communities. Compare what you are trying, share what works and explore what is possible with the tools you have. Or [contact Christina Andersson at Novare](mailto:christina.andersson@novare.se) to set up a shared learning and exploration journey ;) My follow-up answer after the session. A mapping of internal tools, access and permissions needs Atlas Copco's own knowledge and context. ## Places I pointed to. [My working setup ### Meet my AI team ↗ The public catalogue shown during the session. Use it to explore roles and tools, not as a list you need to purchase. ](https://aiteam.jardenberg.net/)[Public personal context ### Get to know me. Let your AI read along. ↗ My own account of my life, values and working preferences, with sources and room for your judgement. ](https://joakim.jardenberg.net/)[Microsoft 365 ### Start a conversation with Copilot ↗ Sign in with your own account. Capabilities and access depend on your organisation and subscription. ](https://m365.cloud.microsoft/chat)[Another tool shown ### ChatGPT ↗ I used a context-aware feedback conversation. The activity access shown is optional and specific to my setup. ](https://chatgpt.com/)[Pocket-agent example / Apple ### Muse from Meta ↗ The App Store listing for the example discussed in the session. Check current availability and the permissions you would be granting. ](https://apps.apple.com/us/app/muse-from-meta/id6760173601)[Pocket-agent example / Android ### Muse on Google Play ↗ The corresponding Android listing. Ratings and features are snapshots, not guarantees of how a tool will work for you. ](https://play.google.com/store/apps/details?id=com.facebook.aura&hl=en_GB)[Research shown on screen ### Explore questions with sources ↗ Perplexity was used in the pocket-agent discussion. This is the service home, not a link to the particular research conversation. ](https://www.perplexity.ai/)[Garry Kasparov ### The Chess Master and the Computer ↗ His account of human-machine chess and why the process matters. The three-law framework in the talk is my teaching interpretation. ](https://www.nybooks.com/articles/2010/02/11/the-chess-master-and-the-computer/)[Ethan Mollick ### One Useful Thing ↗ Further reading from the author of Co-Intelligence, credited in the Four Principles. ](https://www.oneusefulthing.org/)[Stephen Covey ### Concern, influence and proactive choice ↗ The source framing behind the three-circle adaptation I used. ](https://www.franklincovey.com/courses/the-7-habits/habit-1/) ## Don't be a stranger. If something here helps you make a useful change, I would love to hear about it. If it raises a better question, that is a good reason to connect too. [Say hi on LinkedIn ↗](https://www.linkedin.com/in/jardenberg/)[Find a time to talk](https://jardenberg.com/work-with-me#booking)[Find me online](https://jardenberg.com/) Prepared by AI + JJ. Based on the delivered keynote, final slides and reviewed source material; this is an edited learning companion.