The Agent Architecture Matrix
7 Cognitive Functions × 6 Topologies—Design, Budget, and Govern Agents That Actually Ship
What do you do with an agent that 'almost works'? Most engineers guess. You'll diagnose it on a matrix and fix it systematically.
Agents promise to automate work at unprecedented scale—but where do you start? How do you budget dev time and token spend? How do you scale a multi-agent system that's grown organically? This masterclass teaches a systematic two-axis framework: seven cognitive functions (perception, memory, reasoning, action, reflection, collaboration, governance) crossed with six topologies (chain, route, parallel, orchestrate, hierarchy, loop), yielding 27 reusable patterns stress-tested by thousands of engineers shipping production agents in banks, manufacturers, and AI startups. You'll learn to establish architectures that manage cost and take governance seriously from day one, impose certainty on the non-deterministic behavior of LLM-driven agents through harness design, and apply everything in a full capstone: building a production code-review agent. You'll stop asking 'which tools?' and start asking the questions that actually determine whether agents ship.
Your Competitive Moat
AI Hyper-Personalizes Your Experience
This isn't a one-size-fits-all course. It's assessed to your gaps, adapted to you, and finished with a custom deliverable you build and own.
Pre-Masterclass Assessment
You begin with an AI-driven assessment that maps what you already know against everything this masterclass covers. We pinpoint your knowledge gaps up front—so your time goes only where it moves the needle.
An AI-Personalized Path
Your results reshape the masterclass around you. The AI aligns the material, examples, and pace to close your specific gaps—so a fixed curriculum becomes a path built for exactly one person: you.
A Custom Deliverable You Own
You don't leave with a certificate—you leave with a real, working artifact built for your goals. In "The Agent Architecture Matrix," that means a deliverable you can ship, show, and build on. Something you made, not just something you watched.
Proven Transformation Results
Real outcomes from students who completed The LLM Sovereignty Stack™ and built their competitive moats
📈 Career Transformation
💰 Business Impact
What You'll Actually Build
Choose Your Path to Mastery
All modalities include the complete LLM Sovereignty Stack™. Choose based on your learning style and goals.
Self-Paced Mastery
- All 7 modules available immediately
- Lifetime access to content and updates
- Community support and code reviews
- Monthly live office hours
7-Week Live Cohort
- Weekly live workshops with Dr. Lee
- Matrix-based reviews of your agents
- Direct instructor access
- Graduation certificate
- Alumni network access
Founder's Edition
- One-on-one mentorship with Dr. Lee
- Framework applied to YOUR agent roadmap
- Cost and governance architecture review
- 90-day satisfaction guarantee
4-Day Immersive Bootcamp
Executive intensive format. Design and ship the code-review agent in one week. Live governance workshops.
Course Curriculum
7 transformative steps · 30 hours of hands-on content
Module 1: The Agent Paradigm Shift
5 lessons · Shu-Ha-Ri cycle
- From Deterministic Code to Non-Deterministic Systems
- Why 'Almost Works' Is the Default—and What to Do About It
- The Engineer's New Role: Harness Designer
- Where Agent Projects Die: Budget, Governance, and Scale
- The Case for a Systematic Framework
Module 2: The Two-Axis Framework
5 lessons · Shu-Ha-Ri cycle
- Axis One: The Seven Cognitive Functions
- Axis Two: The Six Topologies
- The Matrix: 27 Patterns from Two Axes
- Locating Any Agent Problem on the Matrix
- Hands-On: Map an Existing Agent onto the Framework
Module 3: Cognitive Functions in Depth
5 lessons · Shu-Ha-Ri cycle
- Perception: What the Agent Sees and How
- Memory and Reasoning: The Thinking Core
- Action and Reflection: Doing and Self-Correcting
- Collaboration and Governance: Working with Others, Staying in Bounds
- Hands-On: Implement Each Function as a Swappable Component
Module 4: Topologies in Depth
5 lessons · Shu-Ha-Ri cycle
- Chain and Route: Sequential and Conditional Flows
- Parallel and Orchestrate: Concurrency and Coordination
- Hierarchy and Loop: Delegation and Iteration
- Choosing (and Changing) Topologies as Systems Grow
- Hands-On: Rebuild One Workflow in Three Topologies and Compare
Module 5: Cost Management in AI Development
5 lessons · Shu-Ha-Ri cycle
- Token Economics: Where Agent Spend Actually Goes
- Budgeting Dev Time and Runtime Cost per Pattern
- Cost-Aware Architecture: Cheap Paths First, Expensive Paths Gated
- Monitoring Spend in Production
- Hands-On: Put a Real Agent on a Budget
Module 6: Governance Patterns
5 lessons · Shu-Ha-Ri cycle
- Governance from Day One—Not Bolted On Later
- Certainty Harnesses: Constraining Non-Deterministic Behavior
- Audit Trails, Permissions, and Policy Enforcement
- Governance Patterns from Banks and Regulated Industries
- Hands-On: Wrap an Agent in a Governance Harness
Module 7: Capstone—Build a Code-Review Agent
5 lessons · Shu-Ha-Ri cycle
- Designing the Agent on the Matrix Before Coding
- Implementing Perception, Reasoning, and Action for Code Review
- Adding Reflection, Cost Controls, and Governance
- Evaluating Review Quality Against Human Baselines
- Capstone: Ship Your Production Code-Review Agent
Production-Grade Tech Stack
Master the same tools used by OpenAI, Anthropic, and Google to build frontier AI systems
Frequently Asked Questions
The Agent Playbook is a pattern catalog—composable solutions to specific problems. The Agent Architecture Matrix is a design framework—a systematic method for structuring, budgeting, and governing whole systems. The Playbook gives you vocabulary; the Matrix gives you method. Serious agent architects want both.
Ruthlessly practical. The 27 patterns have been stress-tested at scale by engineers shipping production agents in banks, manufacturers, and AI startups. Every module ends with hands-on implementation, and the capstone is a working code-review agent.
Because that's where agent projects actually die. Teams can prototype an agent in a weekend; they fail when token spend surprises finance or when compliance asks who approved the agent's actions. This masterclass makes both first-class architectural concerns from day one.
Intermediate Python and basic familiarity with LLM APIs. If you've built any agent—even a fragile one—you'll get dramatically more from the diagnosis-oriented modules.
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Join 500+ engineers and founders who've gone from API consumers to model builders—building their competitive moats one step at a time.
Command $250K-$400K salaries or save $100K-$500K in annual API costs. Own your model weights. Build defensible technology moats. Become irreplaceable.
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