Make Your Idea Visible
Aus einer Idee wird eine Webseite.
Build a small website for a real idea. Learn to shape the message, guide AI and check what people will see.
Learning for the age of AI.
The future
is learned.
Practical learning experiences for people and teams: understand AI, build something useful and develop the judgment to use it well.
Zukunft beginnt mit dem, was wir lernen.
Start here · AI Fluency
Understand AI. Use it well.
Our starting point: learn what AI can help you do, where it falls short and how to work with it responsibly. Choose one of eight practical labs and build something you can explain, test and improve.
KI verstehen, selbst anwenden und Ergebnisse beurteilen.
Two ways to begin.
A real task. A practical result. Room to reflect.
Make Your Data Make Sense
Von der Tabelle zum klaren Überblick.
Turn a spreadsheet into a useful dashboard. Choose meaningful measures, check the calculations and make uncertainty visible before drawing conclusions.
A shared starting point.
Each lab starts with how generative AI works, why plausible answers can be wrong and when to use another approach. A guided exercise introduces four habits. Choose the lab that suits your question.
Choose the task.
Decide what AI should help with, what a good result looks like and which decisions stay with you.
Give clear direction.
Provide relevant context, examples and constraints. Improve your instructions as you learn.
Check the work.
Trace important claims to evidence, test difficult cases and decide when an output is not good enough.
Stay responsible.
Use appropriate data, make AI assistance clear and keep approval, correction and stopping decisions in human hands.
Explore all 8 AI Fluency experiences
These are proposed learning formats. Durations are indicative and depend on the agreed scope and preparation. Dates, facilitators and participation arrangements are still to be confirmed.
Six human priorities
What matters
more than ever.
AI changes what we can do. These six priorities shape how we think, choose and act. Explore two practical experiences for each.
View all 20 experiencesAttention
Focus on what matters. Stay focused.
Das Wesentliche erkennen. Den Fokus halten.
Find what deserves your attention. Give it the time and concentration it needs. Choosing priorities and protecting focus are two skills worth developing.
Trust
Build trust on evidence.
Zeigen, worauf Vertrauen beruht.
Make the grounds for trust clear: relevant skills, commitments kept and results people can check. Show what someone can be relied on to do.
Originality
Think beyond the obvious.
Eigene Ideen. Neue Möglichkeiten.
Ask fresh questions. Explore unexpected connections. Give ideas a form of their own. Discover how people create original, useful work with and without AI.
Judgment
Think clearly. Choose well.
Qualität erkennen. Bewusst entscheiden.
Question assumptions, recognise quality and weigh the consequences. Develop a feel for what works, then sharpen that judgment through evidence, practice and feedback.
Responsibility
Make it happen. Take responsibility.
Initiative zeigen. Für die Folgen einstehen.
Take initiative and carry ideas through. Make clear who decides, who checks the results and who takes action when a decision causes harm or falls short.
Sovereignty
Take control of your data.
Persönliche Daten. Mehr Selbstbestimmung.
Understand what personal data exists, how it is used and what choices you have. Work towards meaningful control and practical benefits for the people it concerns.
About the foundation
More answers.
Better questions.
AI gives us new ways to find information, develop ideas and get things done. It also gives us reasons to look more closely at how we think, choose and act.
The Abegglen Foundation aims to turn these questions into practical learning and useful experiments. We connect questions from management, technology and law with new ways to learn.
Mehr wissen ist der Anfang.
Entscheidend ist, was wir daraus machen.
The person behind the initiative
Christian Abegglen
The Abegglen Foundation is an initiative and institution of Tablat Knowledge Manufaktur Appenzell AG.
info@abegglen.foundationGet in touchOur approach
Learn. Test. Share.
Fragen. Erproben. Weitergeben.
Start with a question.
Understand the context. Listen to the people involved. Make assumptions clear and define what would count as progress.
Put ideas to the test.
Run a focused pilot. Examine the results. Use evidence and experience to decide what to keep, change or stop.
Make learning useful.
Share methods, findings and open questions so others can assess the work, apply it and take it further.
Learning, in public.
Our commitment is to make the work behind each project visible — including uncertainty, setbacks and results that challenge our expectations.
Perspective · External reading
Questions worth
taking further.
Research and earlier initiatives that help frame the questions behind our priorities.
What AI fluency involves
A framework for choosing tasks, giving direction, evaluating AI work and taking responsibility.
Dakan, Feller & Anthropic · AI Fluency Framework · 2025Learning to understand, apply and create
A school-focused competency framework connecting AI knowledge, human values and practical use. A reference for our thinking, not an accreditation of these formats.
UNESCO · AI competency framework for students · 2024Creativity with AI
A writing experiment on individual creativity and the variety of results.
Doshi & Hauser · Science Advances · 2024What a credential can tell us
A standard for verifiable credentials and the limits of what verification establishes.
W3C · Verifiable Credentials Data Model 2.0Learning from Self Data
Earlier work on helping people understand, control and use the data that concerns them.
FING · MesInfos archive
What would you
like to learn?
Tell us what you have in mind — for yourself or your team. We can discuss a useful starting point.
Find your starting point