Research by RootKnow.
AI, robots and energy could expand what we can produce. But capacity only improves lives when people can access it. RootKnow is building RealMaker to explore how independent people, businesses and machines could make that transition together.
RealMaker is a living model of an economy: who has what, what they need, which futures they could create together, and what changes when they act. A private Node helps each participant understand and operate their own life or work. World connects the information they choose to share.
Skills, money, time, commitments and connected tools belong in one private view. A Node would use that depth to help you act locally, then share a useful answer or offer when you choose. For a workshop: which orders can we actually accept?
What if a repairer, a designer and a workshop could supply a replacement part together? World would show who contributes, who benefits, what remains unknown and which condition makes that future possible. Change a condition; the projection should change.
The workshop controls its machine. The lender controls its funding. The learner chooses which opportunity to accept. Participants could make conditional commitments; actual work would run through their own people, software and equipment.
A delivered part, acquired skill or settled payment changes what participants can do next. Those observations belong in the same model, alongside what remains projected or unknown. RootKnow tests whether that loop improves outcomes and broadens access.
Three examples
Start with a published example. Then examine a RealMaker projection: what could change for a learner, a workshop or a bakery, and which contribution would make that change possible.
AI and learning
AI can suggest what to learn. A bicycle-repair example shows why a teacher, tools and time to practice still matter.
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Production
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.
Read article →
Energy
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 →Private workspace
You want to learn bicycle repair. Your Node could help you compare what you already know, the time you have and the practice you still need.
Your other goals and private history stay with you.
What you choose to share
For example: I'm looking for a bicycle-repair practice session on Saturday.
Your decision
Someone could offer a session. You decide whether its time, cost and conditions work for you. Sharing a request does not commit you to a booking.
Why selective sharing mattersChoose person, business or place to see how a Node could help.
A repairer has the skill; a workshop has the tools and power. Try removing the tools, giving permission or adding a completion record. The example shows the difference between being able to do a job, agreeing to it and checking that it is done.
Person
The repairer knows what to do.
Available
Workshop
The workshop supplies what the repair needs.
Available
The goal
The goal. Completion still needs to be checked.
Awaiting permission
The skill and tools are available. The workshop owner must agree before the repair can start.
A hypothetical repair. The controls change this example; they do not book work or certify a real repair.
Questions behind the design
When does working together solve the problem? Share enough to work together What makes a stalled plan possible? Who can act, and what counts as done? Who gets to benefit?Five research questions: the idea, a practical example and the evidence that would change our mind.
Visit RealMakerRootKnow is founded and operated by Ka. RealMaker is in early development. We ask whether shared projections can lead to useful commitments, real outcomes and wider access, and where physical scarcity, cost or incentives prevent that. Public app access is not open from this site.
Show a possible future, its contributors and its conditions. Keep what is known, assumed and still missing visible.
Owners accept the work. Real people, software and equipment make the change; a picture cannot do that for them.
Return evidence to the same model. Update capabilities, costs and access, then examine which futures are possible now.