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This is still work in progress; this site a total remake of the previous version, so check back often and reach out with comments or questions: [email protected]

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This is where all the good stuff lives. The core ingredients, the meat (and/or the vegetables), the spices, the pans, the sharp knives, and the chef's attitude. The mise en place and the midnight experiments, the secret sauces and the seasoned cast iron. All the techniques and tools to cook up something extraordinary with AI.

What we have to learn to do, we learn by doing.

Aristotle, ~350 BCE

Start with the four principles.

You can manage what you do not understand, but you cannot lead it.

Myron Tribus, ~1980s

A slight adoption from the gospel of Prof Ethan Mollick:

1. Invite AI into everything you do – this is key to changing behavior, see the tech evolve and getting those 100,000 hours of AI usage under your skin.
2. Be the human in the loop – you can never blame the AI, you are always responsible.
3. Treat AI like a human (but never forget it’s not) – think of it as your coworker, or even friend… but with some unique difference from a real human being (for better, for worse)
4. The AI you have today is the worst you’ll ever have – not only will you evolve and grow, but so does the AI. Whatever doesn’t work today, try again tomorrow.

… and here's how I adapted these principles for a recent corporate training. Kind of like field notes from the adoption of enterprise AI. Click, read, think about it – and adjust to your context:

ai.jardenberg.se/4principles

Be inspired by the JJ AI team

Not everyone needs these many team-members, but for me they are all part of the machinery, and I love working with them. For every service there is a description and some personal notes. aiteam.jardenberg.se

https://aiteam.jardenberg.se/

Continue with the right Toolset, Skillset, and Mindset

The toolset is not only about the tech side of things. You need to understand how to work with the AI services – but tools are also stuff like policies, guidelines, rules, regulations, ways of working, that 60 minutes of AI ”playtime” in your agenda every week etc...

The skillset involves knowing how to prompt effectively, selecting the appropriate AI tool for specific tasks (Claude for writing, ChatGPT for creativity, and Perplexity for research), and recognizing when AI is hallucinating. However, it's also the meta-skill of learning how to learn – because what feels magical today can become mundane tomorrow.

The mindset is the hacker's curiosity that shifts you from "doing the work" to "working on how work gets done." It's focusing on your circle of influence, embracing productive failure, and remembering that the AI you have today is the worst you'll ever have – so keep experimenting.

… and here’s a long-form story where I let Claude AI talk back to me, and give me the stories I usually tell about this framework. Click, browse, process and rework it with your favorite AI tool.

ai.jardenberg.se/stm-framework