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How to ThinkIn the Age of AI

Learning Paths

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

Beginner

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.

18 lessons5hpkmpersonal-knowledge-managementcapture-system
Beginner

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.

20 lessons6hknowledge-workerbrain-foginformation-overload
Beginner

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.

16 lessons6hai-second-brainsecond-braincapture