Learning Paths
Guided journeys through the curriculum. 19 paths across 3 difficulty levels, averaging 18 lessons each.
AI leverage for yourself
Build your AI second brain, personal AI operating system, and delegation practice.
Build Your AI Second Brain
You use ChatGPT or Claude every day, and every conversation evaporates. Your notes are somewhere, your prompts are scattered, and the AI knows nothing about you each morning. An AI second brain is not a tool you buy — it is a system you build: frictionless capture, atomic notes with context attached, and a knowledge graph an AI can actually answer questions from. This path builds it in four phases, tool-agnostic, on cognitive principles that outlast any app.
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.
Think With AI
AI will happily do your thinking for you, and that is exactly the danger. Used well, it is the best thinking partner ever built: a tireless devil's advocate, a bias check, a second pass on every consequential decision. Used badly, it is confirmation bias at machine speed. This path builds the metacognitive discipline that keeps you the thinker — externalized mental models, one framework per decision type, decision records with reasoning attached — and then shows where AI genuinely sharpens each step.
The Signal Cascade
Your AI produces more than you can read, your feeds never stop, and somewhere in the flood are the dozen things that actually matter. Filtering harder is not the answer — no single filter can be both safe and selective, and you cannot match a machine's variety with a human's attention. The Signal Cascade is the architecture that can: five levels, four gates, self-validating artifacts that carry their own checks, and a healing loop that audits the filters themselves. Rooted in the wisdom of ages — Bateson, Ashby, Shannon, detection theory, Toyota, Popper — and pointed at the modern dilemma.
Get your team or business AI-ready
Adoption that sticks, operations AI can run, and leading the hybrid system.
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.
The AI-Augmented Leader
Your job changed. You now lead a system of humans and AI agents, and the leadership toolkit nobody gave you is cognitive: shared mental models that align people and machines, decision protocols that scale past your calendar, delegation criteria that work for a direct report and an agent alike, and organizational schemas explicit enough that the whole system runs without you narrating it. This path builds the leader's half of the human-AI organization.
The thinking underneath
The cognitive foundations both arcs build on — capture, focus, judgment, meaning.
Think Clearly at Work
You work with information for a living and you cannot think clearly anymore. 80% of knowledge workers report information overload. You are interrupted 275 times per day. 60% of your work time goes to coordination, not thinking. This is not a personal failing — it is cognitive infrastructure collapse. This path rebuilds the foundation: externalize your thinking, protect your focus, filter signal from noise, and design a sustainable cognitive rhythm. It is the entry point to the entire curriculum — the foundational skills every specialized path builds on.
Build Your Capture System
If you have 47 tabs open, three note-taking apps, and still can't find what you wrote last week — this path builds the personal knowledge management (PKM) system you've been searching for. Not another app recommendation. Not another organizational method. This teaches the cognitive principles underneath all methods: why externalization works (cognitive offloading), why your notes are useless (the collector's fallacy), and how to build a capture habit so reliable that any method — PARA, Zettelkasten, or plain text files — actually works.
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.
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.
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.'
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.
Construct Your Meaning
If you're asking 'what should I do with my life?' or experiencing an existential crisis — the feeling that freedom came without direction — this path teaches you to construct meaning actively rather than waiting for it to appear. Drawing on Viktor Frankl's logotherapy, Camus's absurdism, and the Japanese concept of ikigai, you'll build a purpose statement, rewrite your narrative identity, and transform existential dread into deliberate action.
Change the System, Not Just the People
If you see what's wrong with how your team or organization works and nobody listens — if you have systems thinking skills but no leverage — this path bridges the gap from individual insight to organizational change. You'll learn why 50-75% of change initiatives fail, how to make invisible organizational schemas visible, and how to build the coalitions and pilot programs that make change stick. Drawing on Donella Meadows, Kotter, Peter Senge, and Karl Weick — this path teaches influence without authority.
The Staff Engineer’s Thinking Infrastructure
You got promoted to staff and nobody can tell you what your job is. You are expected to lead without authority, think at the right level of abstraction, and have organizational impact — but nobody trained you for any of it. This path builds the cognitive infrastructure that makes staff-level impact possible: understand your own mental models, learn to influence through shared understanding, make architecture decisions that stick, and sustain the emotional weight of technical leadership without burning out.
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.