Move · Learn AI³ · Powered by Claude
Three kinds of smart.
What you know × what AI knows × what agents can do. That is AI³, and it is the framework the next decade runs on. Four short chapters. Pick your lens and go.
60 XP to Explorer. First-try quiz answers earn 10, a perfect chapter earns +15, missions earn +15.
Chapter 1
Actual Intelligence
The human part. Judgment, taste, and knowing what matters.
Actual intelligence is everything you know that never got written down: your experience, your taste, your sense of what matters and what feels off.
It is knowing your family, your work, your town. Computers have read almost everything ever published, but they have never lived your life. That knowledge is yours alone, and in the AI era it becomes more valuable, not less.
Picture it
Grandma's recipe card lists the steps, but she knows when the dough feels right. The card is information. The feel is actual intelligence.
Inside Move: the true example
Move started as actual intelligence: a decade of Kaifect client work with coaches, creators, and programs, and a founder's conviction that people need implementation, not more information. No model supplied that. It was the spec the models were pointed at.
Your mission (+15 XP)
Write down one thing you know from experience that you could never find with a search. That is your edge.
Check yourself (10 XP per first-try answer)
1. Which of these is actual intelligence?
2. As AI gets better at writing and calculating, what happens to the value of human judgment?
3. Who is the captain in a human plus AI team?
Chapter 2
Artificial Intelligence
The learned part. A pattern engine that read almost everything.
Modern AI, like Claude, learned patterns from a huge amount of human writing. Ask it anything and it produces an answer in seconds: a letter, a plan, an explanation pitched exactly at your level.
Two honest truths. It can be confidently wrong, so important answers get checked. And it does not know your life or your business unless you tell it. Notice the pairing: its weakness is exactly where your actual intelligence is strong.
Picture it
It is GPS for ideas. It suggests an excellent route in seconds, but you are still the driver, and you know the roads it cannot see.
Inside Move: the true example
Inside Move, this layer is the Personalization Engine. One source (a book, a playbook, a sermon) goes in, and the model renders it differently for every reader based on their profile. Claude is the model doing that reading and writing.
Your mission (+15 XP)
Ask an AI to explain something you already know deeply. Notice what it nails and where it is off. Now you know how to treat it on topics you do not know.
Check yourself (10 XP per first-try answer)
1. How did an AI like Claude get smart?
2. An AI gives you a confident answer about something important. What do you do?
3. What makes an AI's answer dramatically better?
Chapter 3
Agentic Intelligence
The doing part. AI that takes steps, uses tools, and checks its work.
The newest kind of AI does not just answer, it acts. Give an agent a goal and it plans the steps, uses tools (search the web, write the document, fill out the form), checks its own work, and reports back.
A guidebook answers questions. A travel agent books the trip. Agentic intelligence is the travel agent. You still choose the destination and approve the booking.
Picture it
Guidebook versus travel agent. One answers, the other books the trip and tells you what it did.
Inside Move: the true example
This page is the proof. Matt set the goal and the standard, and Claude, working as an agent, explored the Move codebase, designed this space, wrote this copy, ran the checks, and opened the pull request. Scout and the right-rail agent run the same way: goal in, steps executed, work shown.
Your mission (+15 XP)
Notice one chore this week that is really a series of small steps (calls, forms, emails). Multi-step chores like that are exactly what agents are starting to take over.
Check yourself (10 XP per first-try answer)
1. What makes an agent different from a chatbot?
2. You give an agent a job. What is YOUR most important move?
3. Which of these is agentic?
Chapter 4
AI³, all together
Multiply, do not add. Actual × Artificial × Agentic.
AI³ means the three intelligences multiply: what you know (actual), what the model knows (artificial), and what agents can do (agentic). Improving any one multiplies the whole.
And multiplication has a rule addition does not: a zero anywhere makes everything zero. All the AI in the world with no human judgment produces confident nonsense at scale. Your experience has never mattered more.
Picture it
Three dials on one machine. Turning any dial up multiplies the output. Leaving any dial at zero turns the machine off.
Try it: the multiplier
Drag the three dials. Watch what multiplication does, and what a single zero does.
Raising your weakest dial multiplies everything else. That is why it is AI³, not AI + AI + AI.
Inside Move: the true example
Move IS AI³ in production. A decade of Kaifect's actual intelligence about coaches and creators, Claude as the artificial intelligence rendering every experience personally, and agents (Scout, the right-rail agent, the build agents that wrote this page) doing the work. The platform you are standing in is the worked example.
Your mission (+15 XP)
Pick one real task this week and run all three on purpose: decide what good looks like, ask an AI with real context, and let it carry the steps it can.
Check yourself (10 XP per first-try answer)
1. Why multiply instead of add?
2. Which factor is YOURS to grow for the rest of your life?
3. What built the very page you are reading?
Actual × Artificial × Agentic.
You now have the framework most people will spend the next decade catching up to. The next step is feeling it: Move runs your whole experience through these three intelligences, starting with a profile only you could provide.
Put AI³ to workMove · The Performance Platform · This space was researched, written, and built by Claude, working as an agent on Matt's direction. Powered by Claude.