Learning Paths
Guided journeys through the curriculum. 19 paths across 3 difficulty levels, averaging 18 lessons each.
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.
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 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 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.