LemUp Start lesson 1

Business Foundations · No experience needed

Learn how a one-person AI company actually works.

Start with everyday examples—lemonade, tutoring, posters, and study guides—then learn customers, offers, money, marketing, sales, delivery, safety, and AI leverage. Every lesson includes a worked example, a self-check, and a saved project artifact.

Begin the zero-to-builder course Open my workbook

Zero-to-builder self-study course

Ten lessons. One complete business picture.

Study in order. Each lesson takes about 20–30 minutes and ends with one piece of evidence. Your answers and progress stay saved in this browser.

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Practice, simulation, and mastery

Use business knowledge before taking the final check.

Practice at three levels, run a five-round one-person-company simulation, then complete the final assessment. Results are saved in this browser.

Activity 1

Three levels of business thinking

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Course map

MBA Lab is a structured business course, not a list of articles

The course is designed like a self-paced learning platform: each unit has short lessons, examples, practice questions, a mini quiz, and a concrete artifact students add to their builder portfolio. The goal is simple: learn the business logic well enough to make better product decisions in AI Lab.

01

Business Logic Core

Customers, problems, value, willingness to pay, trust, cost, profit, and why businesses exist.

02

Startup Method

Opportunity discovery, user interviews, MVPs, experiments, launch, iteration, and weekly progress updates.

03

Business Functions

Marketing, sales, finance, accounting, operations, legal basics, ethics, and responsible AI.

04

Company Analysis

Market size, competition, business models, pricing, moats, metrics, and a final company or product analysis.

Mastery model

Every unit follows the same learning loop

Khan-style learning works because students know what to do next. MBA Lab uses a repeatable loop so students can study independently without waiting for a teacher.

1. Watch or read the short lesson

Students learn one business idea in plain English with a simple example from a real or realistic company.

2. Try the practice set

Students answer quick questions, sort examples, estimate numbers, or compare two choices.

3. Apply it to a case

Students use the idea on an AI company, local business, family workflow, or student product.

4. Save a portfolio artifact

Each unit creates proof of learning: a map, interview notes, pricing sheet, competitor grid, or launch decision.

5. Take a mini quiz

Students check whether they can explain the concept, spot mistakes, and choose the best next action.

6. Update the builder journal

Students write what they would change in their own idea based on what they learned.

Full syllabus

12 units from business basics to launch judgment

The sequence blends entrepreneurship fundamentals from OpenStax-style coursework with YC Startup School ideas such as talking to users, MVPs, pricing, first customers, launch, and weekly accountability. Each unit is rewritten for students 12+.

Unit 01

Value Exchange and Entrepreneurial Mindset

Students learn that entrepreneurship begins with creating value for someone else, not with having a cool idea.

  • What businesses do: create, deliver, and capture value
  • Idea vs invention vs innovation vs business
  • Risk, initiative, curiosity, resilience, and ethics
  • AI as leverage, not as a shortcut around thinking
Portfolio artifact Business logic map for one everyday product: customer, problem, solution, value, price, cost, profit, trust, and risk.

Unit 02

Customers, Users, Buyers, and Jobs To Be Done

Students learn that the person who uses a product may not be the person who pays for or approves it.

  • User, buyer, decision-maker, gatekeeper, and influencer
  • Customer segments and early adopter profiles
  • Jobs to be done: what progress the customer wants
  • Why praise is not the same as purchase intent
Portfolio artifact Customer map for three ideas: AI study planner, club design kit, and local restaurant content service.

Unit 03

Opportunity Discovery and Problem Quality

Students learn to find opportunities by observing repeated pain, expensive work, wasted time, confusion, and unmet needs.

  • Strong vs weak problems
  • Frequency, urgency, budget, access, and emotional pain
  • Researching markets without pretending to know everything
  • Using AI for brainstorming while keeping human judgment
Portfolio artifact 20-problem list scored by frequency, pain, reachable customer, AI fit, safety, and willingness to pay.

Unit 04

User Interviews and Demand Validation

Students learn to ask better questions and look for real behavior instead of compliments.

  • Non-leading interview questions
  • Current workaround, time spent, cost, urgency, and budget
  • What to ignore: vague excitement, politeness, and hypothetical answers
  • How to summarize interviews and change direction
Portfolio artifact Five interview notes with repeated patterns, surprising answers, and one decision changed by evidence.

Unit 05

Creativity, Design Thinking, and Solution Shape

Students learn to move from problem to solution through prototypes, not giant plans.

  • Empathize, define, ideate, prototype, test
  • Divergent and convergent thinking
  • Service, template, workflow, tool, and content-product solutions
  • Why the first version should be much smaller than the dream
Portfolio artifact Three solution sketches for one problem: manual service, AI-assisted template, and simple tool.

Unit 06

MVPs and Lean Experiments

Students learn to test the riskiest assumption with the smallest useful version.

  • MVP, concierge MVP, landing page MVP, prototype, and manual test
  • Build-measure-learn loops
  • Riskiest assumption: desirability, feasibility, or viability
  • Why early imperfection can create faster learning
Portfolio artifact One 3-day MVP experiment plan with hypothesis, test, metric, result, and next decision.

Unit 07

Business Models, Pricing, and Unit Economics

Students learn how companies make money and why revenue is not the same as profit.

  • One-time sale, subscription, service package, template, marketplace, affiliate, and sponsorship
  • Pricing as a signal, filter, and experiment
  • Revenue, variable cost, gross margin, time cost, and break-even
  • When free is useful and when free hides weak demand
Portfolio artifact Pricing ladder with free sample, starter offer, paid offer, cost estimate, and break-even point.

Unit 08

Marketing, Positioning, Sales, and Customer Service

Students learn that marketing is clear communication, not hype.

  • Positioning: who it is for, what problem it solves, and why now
  • Marketing channels: school, local business, communities, search, social, referrals
  • Sales basics: respectful outreach, follow-up, objections, and proof
  • Customer service as trust-building
Portfolio artifact One sales page outline, five FAQ answers, and two parent-reviewed outreach messages.

Unit 09

Competition, Strategy, and Market Entry

Students learn that competition is information. A market with alternatives may prove the problem matters.

  • Direct competitors, substitutes, DIY, and doing nothing
  • Competitive maps, SWOT, and Porter's Five Forces in student language
  • Beachhead customer: start narrow to learn faster
  • Small-builder advantages: speed, niche, trust, service, workflow knowledge
Portfolio artifact Competitor map showing alternatives, weaknesses, your niche, and one reason a first customer might choose you.

Unit 10

Finance, Accounting, and Resource Planning

Students learn the minimum numbers needed to make responsible business decisions.

  • Revenue, cost, profit, cash flow, runway, and break-even
  • Income statement, balance sheet, and cash flow in plain language
  • Resources: time, money, tools, skills, partners, distribution
  • When to keep a project tiny instead of spending more
Portfolio artifact One-page financial snapshot: price, costs, time required, gross margin, break-even, and risk notes.

Unit 11

Ethics, Legal Basics, and Responsible AI

Students learn that safety and trust are part of the product, especially when AI is involved.

  • Honest claims, privacy, consent, copyright, plagiarism, bias, and accuracy
  • Human review for AI outputs
  • Beginner no-go zones: medical, legal, financial, and mental health advice
  • Parent involvement for payments, outreach, and customer information
Portfolio artifact AI safety and launch checklist reviewed by a parent or guardian before outreach or payments.

Unit 12

Launch, Metrics, Iteration, and Reflection

Students learn that launch is not the finish line. It is where the strongest learning begins.

  • First customers and manual outreach
  • Doing things that do not scale at the beginning
  • Metrics: contacts, replies, demos, trials, purchases, refunds, time saved, repeat use
  • Improve, pivot, pause, or stop based on evidence
Portfolio artifact Launch reflection: what happened, what changed, what evidence matters, and what version 2 should test.

Practice bank

Short exercises that make the course feel active

These exercises can become interactive quizzes later. For now, they give students a Khan-style rhythm: try, check, explain, and apply.

Capstone

The final MBA Lab deliverable is a one-page business case

Before entering the full AI Lab launch challenge, students create a clear business case for one small product or service. This keeps building grounded in business logic.

Capstone section What strong work includes
Customer and problem A reachable customer, a repeated problem, current alternatives, and evidence from conversations.
Offer and MVP A small first version that tests the riskiest assumption without overbuilding.
Price and economics Simple price, cost, time, gross margin, break-even, and safety limits.
Go-to-market plan Who to contact first, what message to send, what proof to show, and how to follow up respectfully.
Decision rule What result would mean improve, pivot, pause, or stop.

How to study

A repeatable routine for every business module

Each module should produce evidence of thinking. Students read the idea, explain it in plain language, apply it to a real business, then connect it to their own project.

Study step Student output
1. Learn the concept Write the idea in one sentence a 12-year-old could explain to a parent.
2. Find the business example Choose one company, club, local business, or family workflow where the concept appears.
3. Ask the case question Who pays, what changes, what becomes cheaper or faster, and what risk remains?
4. Apply it to a student idea Write one decision the student would make differently because of the concept.
5. Save proof of learning Add a short note, worksheet answer, interview quote, pricing estimate, or launch decision to the workbook.

Mastery standard

Students are ready for the paid challenge when they can explain a business clearly

A student does not need to sound like an adult founder. But they should be able to explain the customer, problem, solution, value, price, cost, risk, competition, and next experiment without hiding behind vague language.

Further self-study

Books, websites, and startup learning links

These resources are for students who want to go deeper. Some are written for adults, so younger students should read selectively and discuss confusing sections with a parent, teacher, or trusted adult.

Books for deeper learning

  • The Mom Test by Rob Fitzpatrick - how to ask better customer questions.
  • The Lean Startup by Eric Ries - MVPs, experiments, and learning loops.
  • Business Model Generation by Alexander Osterwalder and Yves Pigneur - business model thinking.
  • Obviously Awesome by April Dunford - positioning and explaining value clearly.
  • Made to Stick by Chip Heath and Dan Heath - making ideas easier to remember.

Next step

Move from foundations to practice

After foundations, students should study cases, choose a small project kit, and use the workbook to test a real offer.

Study AI business cases Choose a project kit