Mag.AI-Business
A business is a world model with cash flows.
Design, simulate, and deploy AI-native enterprises. Students construct executable world models of businesses — from personal economies to competitive arenas — testing them in simulation before deploying in reality.
This is not
- ✕ An MBA
- ✕ A management degree
- ✕ A case-study program
- ✕ Exam-based assessment
This is
- → Simulation-first learning
- → Executable world models
- → AI-augmented reasoning
- → Deployed, measurable outcomes
The Learning Loop
Every course follows this cycle. Complexity increases. The loop never changes.
Technology Stack
Four integrated systems power every course.
Ontology creation, rule definition, simulation execution, scenario generation. Students define worlds and run them forward.
Tracks learning across sessions, identifies patterns, critiques assumptions, maintains the student's intellectual journal.
AI embodiments of competing intellectual traditions. They modify worlds, challenge assumptions, and force deeper thinking.
Notebooks, simulations, AI integration. The workspace where all artifacts are built, tested, and stored.
AI Faculty (In Voce)
AI embodiments of intellectual traditions. They don't agree with each other — or with you.
Effectiveness over efficiency. Human factors.
Positioning, five forces, value chains.
Demand-side dynamics, intervention, aggregate behavior.
Fat tails, skin in the game, fragility analysis.
Curriculum
Personal & Market Worlds
Model time, energy, income. Simulate personal leverage.
Agent-based customers with behavior and decision modeling.
Supply, demand, pricing, and equilibrium dynamics.
Features, behavior, outcomes, and feedback loops.
CAC, LTV, conversion rates, and unit economics.
Legal, physical, and regulatory limits on business worlds.
Organizational Worlds
Roles as agents with coordination structures.
Queues, delays, throughput, and capacity planning.
RAG systems, knowledge graphs, and data advantage.
OEM, logistics, delays, and multi-tier dependencies.
Virality, network effects, and S-curve dynamics.
Fragility analysis, black swans, and antifragile design.
Strategic Worlds
Simulated market competition with multi-agent strategies.
Optimization, reinforcement learning mindset for strategy.
Investment decisions under uncertainty.
Self-running systems with minimal human intervention.
Alignment, governance, and responsible automation.
Deploy a real system validated by simulation with measurable outcomes.
Assessment
No exams. Five dimensions of demonstrated mastery.
Clarity of ontology, correctness of rules
Robustness, realism, scenario coverage
Interpret outcomes, identify key variables
Real-world execution, measurable results
Refinement across time
Graduates leave with:
How This Differs
Traditional MBA
- — Case studies
- — Group work
- — Static models
- — Exams
- — Professors
Mag.AI-Business
- → Simulated worlds
- → AI leverage
- → Dynamic systems
- → Deployments
- → AI + in voce faculty
The Castalia Institute Magisterium confers proprietary credentials based on demonstrated work and evaluation. These credentials are not accredited academic degrees and do not confer professional licensure.