Case note
From an AI lesson plan to hands-on practice
AI can suggest what to learn. A bicycle-repair example shows why a teacher, tools and time to practice still matter.
Read article →RootKnow research
Possible futures, examined closely.
Three cases explore learning, production and energy. Each separates a published source from a hypothetical RealMaker projection: a starting situation, a possible future, the contributions it needs and evidence that would tell us whether it worked.
Case note
A factory can be projected before it is built
BMW's virtual factory makes a possible production system visible. A smaller part-making example shows what must change before a future system can deliver.
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Case note
A bakery needs power it can rely on
Tesla's energy plan starts with generation and storage. A bakery still needs reliable supply at a price it can afford, when its ovens need to run.
Read article →Working questions
When does working together solve the problem?
A repair may be stalled by a missing agreement—or a missing material. We need to know which problem we are trying to solve.
Share enough to work together
A workshop can offer a delivery date and price while keeping its other contracts and customer records private.
What makes a stalled plan possible?
A learner has a teacher but nowhere to practice. When does another participant's offer make the plan possible?
Who can act, and what counts as done?
An accepted job is a promise. What permission is needed to act, and what evidence shows that the work is done?
Who gets to benefit?
More electricity will not help a bakery that cannot afford reliable supply. Who can use and influence what a system produces?