Phase 1 trains students to ask better questions about real problems. Phase 2 puts AI to work on the answers.
Each chapter, students study a real problem that was long considered difficult or unsolvable. In most cases it stayed stuck because society asked too few questions and went straight to the easiest fix, one that treated the symptom instead of the root cause. Students learn to reverse that habit. The first chapters are short and quick, so students feel the rhythm. Later chapters run longer and dig deeper, until the problems are tangled and a cause can only be named after serious digging.
A cause stays provisional until students have uncovered enough. Before writing a final definition, they must pass three checks.
The cause was real, but nobody was looking at it. A simple question changed everything.
The usual fix: Treat the sick and blame bad air.
The question: What do the people who fell ill have in common?
One layer further: Snow traced it to one pump. Why was waste leaking so close to drinking water?
The usual fix: Give each sailor a remedy for his symptoms.
The question: What do sailors on long voyages go without?
One layer further: A cure was known long before it became standard practice. Why did it take decades?
The usual fix: Treat mothers after they fall ill.
The question: Why do some hospital wards lose far more mothers than others?
One layer further: Washing hands worked. Why did many doctors reject a fix that clearly worked?
The usual fix: Prescribe bland food and less stress.
The question: Is stress really the cause, or is something living in the stomach?
One layer further: Most people who carry the bacteria never get ulcers. What else is involved?
The usual fix: Avoid swamps and night air.
The question: What carries the illness from one person to the next?
One layer further: Why did malaria disappear from some regions but not from others?
The usual fix: Build iron lungs to keep patients breathing.
The question: How do we stop people from catching it at all?
One layer further: A vaccine only works if people get it. What gets in the way of reaching every child?
The usual fix: Give IV fluids, which only hospitals can offer.
The question: What does the body need, and can a family make it at home?
One layer further: The treatment is cheap and simple. Why does it still not reach every family that needs it?
The usual fix: Blame the pilot and demand better pilots.
The question: What if the aircraft is too complex to fly from memory?
One layer further: A checklist fixed one crash. What else in a complex job still depends on memory?
The usual fix: Warn people to protect their skin.
The question: What is destroying the ozone layer, and where does it come from?
One layer further: Why was the world able to act on this when it struggles with other global problems?
The cause sits in how things are designed, defaulted or paid for. Blaming people only treats the symptom.
The usual fix: Add more lanes.
The question: Why do new lanes fill up again?
One layer further: What would make people choose not to make that trip at all?
The usual fix: Blame and punish careless drivers.
The question: How can cars and roads forgive human mistakes?
One layer further: Who decides what a car or a road must forgive, and who pays for it?
The usual fix: Add warning signs and write more tickets.
The question: What speed can a human body survive in a crash?
One layer further: Who sets speed limits, and what are those limits based on?
The usual fix: Put out every fire as fast as possible.
The question: What builds up in a forest that never gets to burn?
One layer further: Why is it so hard to let a forest burn a little, on purpose?
The usual fix: Tell fishers to take less.
The question: Why do shared resources collapse, and how have some communities avoided it?
One layer further: Some communities made rules that worked. What made people follow them?
The usual fix: Run awareness campaigns.
The question: What is the default choice, and who set it?
One layer further: Does a higher sign-up rate always mean more transplants?
The usual fix: Lecture people to save more.
The question: How do people actually make this decision?
One layer further: People saved more once it was automatic. Why do some still not save at all?
The usual fix: Blame busy nurses and doctors.
The question: Which steps get skipped, and why is skipping them so easy?
One layer further: A checklist worked. What keeps a busy team using it a year later?
The usual fix: Ship food to the hungry.
The question: Why do people go hungry in places where food exists?
One layer further: Why do famines rarely happen where leaders must answer to voters and the press?
The usual fix: Build bigger emergency rooms.
The question: Why are patients ending up there in the first place?
One layer further: Which of these patients could have been seen earlier somewhere else, and why were they not?
Many people gave up on these, and some still have. Students look for the question that was missed.
The usual fix: Vaccinate everyone, everywhere.
The question: How do we find and break each chain of infection?
One layer further: It worked once. What would it take to do the same for another disease?
The usual fix: Remove the worm from each sufferer, one at a time.
The question: How do people catch it, and can villages change that?
One layer further: Why is the last 1% of cases the hardest to end?
The usual fix: Offer shelter beds and make people earn housing.
The question: What happens if stable housing comes first?
One layer further: Housing alone helps many people. What does it not solve, and who covers the rest?
The usual fix: Build more bank branches.
The question: What do people already carry in their pockets?
One layer further: Phones brought payments. What else does someone need to build savings or credit?
The usual fix: Drill more wells.
The question: Who repairs a well when it breaks, and who pays?
One layer further: Why is building something rewarded more than keeping it working?
The usual fix: Build more toilets.
The question: Why don't people use the toilets that already exist?
One layer further: Which habits and beliefs, not just buildings, would have to change?
The usual fix: Ask families to waste less.
The question: Where, between farm and fridge, is the food actually lost?
One layer further: At each step, who pays for the loss, and why does that make waste cheaper than fixing it?
The usual fix: Clean up the sea.
The question: Where does the plastic enter, and why is it made that way?
One layer further: Who pays to clean up something that was cheap to make?
The usual fix: Set up a help line.
The question: What do people lose when they lose their reasons to leave the house?
One layer further: What did a town lose that used to give people a reason to meet?
The usual fix: Subsidize rent.
The question: Who decides what can be built, and where?
One layer further: Who benefits when little gets built, and who has a voice in the decision?
Many causes, no single villain and no agreed answer. Students defend their own definition.
The usual fix: Develop new drugs faster.
The question: What spreads resistance, and who profits from slowing it?
One layer further: Which causes would you tackle first, and what would make you change your mind?
The usual fix: Ban the tools and build detectors.
The question: What is homework for?
One layer further: If homework changed, what would still be worth learning the hard way?
The usual fix: Launch cleanup spacecraft.
The question: Who owns orbit, and who is responsible for what is left there?
One layer further: Which rule could work today if everyone could be held to it?
The usual fix: Delete false posts.
The question: What makes people share things they have not checked?
One layer further: Is the cause the people, the platforms or both? What evidence would tell them apart?
The usual fix: React after an outbreak begins.
The question: Who pays for readiness when nothing is happening?
One layer further: Which cost would you ask people to accept today for a risk they cannot see?
The usual fix: Build more panels and turbines.
The question: What do we use when the sun sets and the wind stops?
One layer further: Which causes are technical, and which are about who pays?
The usual fix: Retrain workers after layoffs.
The question: What is work for, and who decides which skills matter?
One layer further: What would you need to know to be sure of your answer, and how long could that take?
The usual fix: Whatever people in your community already do about it.
The question: What is the root cause, and can you defend your definition in front of a panel?
One layer further: What sits beneath your root cause, how sure are you, and what would change your mind?
With the problem defined, students bring in AI as a working partner. Each block adds a new kind of output and builds on the one before it.
Students turn a problem they defined in Phase 1 into a detailed, thesis-driven report, using AI to research, outline and draft. They check every claim against its source and defend the thesis in their own words.
Output: A written report.
Students come up with possible solutions for different problems, using AI to widen the list. Each idea is tested against the root cause the student defined. A fix that only treats the symptom does not make the cut.
Output: A set of solution ideas across several problems.
Students use AI to build a website that explains the problem, shows their definition and presents the solution they chose.
Output: A working website.
Students use AI to build an application that puts their solution into someone's hands, and learn from what real users do with it.
Output: A working application.
Students use AI to draft a business plan: who the solution serves, how it is funded, what it costs and how success is measured.
Output: A business plan.
Each student presents the whole journey: the problem they defined, the report behind it, the solution they chose, the website and application they built, and the business plan that could carry it forward.