Learning Paths
Guided journeys through the curriculum. 19 paths across 3 difficulty levels, averaging 18 lessons each.
Close Your Knowing-Doing Gap
If you know what you should do but can't make yourself do it — if analysis paralysis, overthinking, and decision paralysis keep you stuck — this path closes the gap. You'll learn why procrastination isn't a character flaw but a design problem, why self-discipline is the wrong goal, and how to build trigger-based systems that execute your intentions without requiring willpower. The ancient Greeks called this struggle akrasia. This path gives you the architecture to end it.
Reclaim Your Life
If you've hit every target they set for you and feel nothing — if you suspect you're living someone else's version of your life — this path is your identity crisis resolved. You'll excavate your actual values from beneath decades of inherited expectations, learn to set boundaries without guilt, exit misaligned commitments, and begin constructing meaning on your own terms. Psychologists call the trigger the arrival fallacy. This path builds what comes after.
Build Systems Beyond Yourself
For solopreneurs, founders, and senior ICs who've built everything themselves — and hit the ceiling. If you're the single point of failure in your own system, wearing too many hats, and cycling through startup burnout, the problem isn't your work ethic. It's your architecture. This path applies the Theory of Constraints to your personal operations, teaches delegation to systems (not just people), and begins the identity shift from 'the person who does everything' to 'the person who builds systems that do everything.'
Master Your Emotional Reactions
If you've ever said something in a meeting you can't take back, or felt emotional flooding take over before your rational mind could intervene — this path builds the complete emotional skill stack. You'll learn why you're not 'too emotional' but under-equipped, how to expand your window of tolerance, and how to express strong feelings without causing damage. Drawing on the neuroscience of the amygdala hijack, the physiological sigh from Stanford research, and skills that overlap with Dialectical Behavior Therapy (DBT), this path turns emotional intensity from a liability into your greatest asset.
The Coach’s Cognitive Toolkit
You have dozens of coaching frameworks but no system for when to use which one. Your clients understand what they should do but cannot do it. You are burning out holding space for everyone while running on empty yourself. This path builds the cognitive infrastructure underneath your coaching practice — first for you, then as a toolkit for your clients. Every lesson applies twice: once as personal practice and once as a client-facing tool.
Your Personal AI Operating System
Stop treating AI like a vending machine — input, output, forget. A personal AI operating system is persistent and stateful: context that compounds instead of resetting, repeated tasks written down once as reusable skills, routines that run on schedule without you starting them, and a verification habit so nothing ships unreviewed. This path builds all four layers on the agent-design principles the curriculum has taught from the start — because an AI operating system is agent thinking applied to your own life.
Delegate to AI Without Losing Judgment
One in five knowledge workers already delegates work to AI — mostly badly. Either they hand off nothing that matters because they cannot trust the output, or they hand off everything and stop thinking. Delegation is a learnable discipline with a decision framework: what to delegate, what to never delegate, how to specify outcomes instead of methods, and how to verify without redoing the work. This path teaches the framework the curriculum built for delegating to systems — and points it at AI.
Context Engineering for Humans
The AI field discovered in 2025 what cognitive science has known for decades: the bottleneck is not the prompt, it is the context. Context engineering is usually taught for AI systems — this path teaches it for you. Context determines meaning; written context prevents misinterpretation; identifiers, atoms, and explicit schemas are what let any intelligence — yours or a machine's — pick up your thinking cold and use it correctly. Master the human half and every AI interaction improves.
Get Your Team to Actually Use AI
You bought the licenses. You ran the lunch-and-learn. Three people use it, one of them badly, and the pilot is quietly dying. AI adoption fails as change, not as technology — teams run on shared schemas and psychological safety, adoption stalls on schema inertia and unnamed resistance, and habits form on mechanics that most rollouts ignore. This path treats team AI adoption as the change-design problem it actually is.
AI-Ready Operations
AI can only run what you can specify. Most businesses cannot hand their processes to a new employee, let alone an AI agent — the workflow lives in someone's head, the steps are not atomic, the handoffs are vibes. AI-ready operations is documentation discipline at machine fidelity: workflows as repeatable atomic sequences, specifications clear enough to delegate, checkpoints and recovery procedures, and measurement built in. This is the prerequisite every AI implementation quietly assumes.