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How to ThinkIn the Age of AI
Advanced16 lessons6h

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.

After completing this path you will use AI as a thinking partner without judgment atrophy: your mental models and assumptions externalized where AI can challenge them, recurring decisions routed through explicit frameworks, decisions captured with their reasoning so both you and the AI learn from outcomes, and a clear line around the judgments that stay yours.
Start This Path

For: Professionals making consequential decisions who want AI to sharpen judgment, not replace it

The Partner, Not the Oracle

An oracle answers and you obey. A partner argues, checks, remembers, and leaves the decision with you. The difference is not the tool — it is the thinker's infrastructure. This path builds it.

Phase 1: Know Your Own Thinking (Lessons 1-4)

Thinking about thinking is a skill. Externalized mental models and assumptions give AI something concrete to challenge; knowing your systematic biases tells you where to point it.

Phase 2: Decisions as Operations (Lessons 5-8)

Decisions are the most expensive cognitive operations, and decision types recur predictably. One framework per decision type, plus the decision matrix for multi-criteria choices — the structures an AI partner can run with you.

Phase 3: The Partner Loop (Lessons 9-12)

Confirmation bias operates in real time — including when AI agrees with you. Decision agents, decision records with reasoning attached, and recency-bias checks turn AI from an echo into an adversarial collaborator.

Phase 4: Judgment Keeps the Wheel (Lessons 13-16)

What to never delegate, trust-but-verify applied to reasoning, the over-delegation warning signs, and externalized decisions as the audit trail of a mind that stayed in charge.

Where This Leads

You have completed the personal arc's judgment layer. The organizational arc starts at Get Your Team to Actually Use AI.

One-on-one decision-infrastructure coaching is in development; community founding members get first access — announced on Jay's LinkedIn.

Lessons in This Path

0 of 16 complete
  1. 1

    Thinking about thinking is a skill

    Metacognition — the ability to monitor, evaluate, and regulate your own thinking — is not an innate gift. It is a trainable skill with measurable components, and the people who treat it as fixed are the ones most trapped by their own blind spots.

  2. 2

    Externalize your mental models

    A mental model you cannot draw is a mental model you cannot examine. The models that govern your decisions most powerfully are the ones you have never made visible — and therefore never inspected, never tested, and never improved.

  3. 3

    Externalize your assumptions

    Assumptions you never write down are assumptions you never question. Every plan, decision, and belief rests on invisible premises — and the invisible ones are the ones that destroy you.

  4. 4

    Know your systematic biases

    Everyone has specific recurring distortions — identify yours. Generic bias literacy is not enough. You need a personal bias profile: the particular set of systematic errors your brain commits most frequently, in the specific domains where those errors cost you the most.

  5. 5

    Decisions are the most expensive cognitive operations

    Every decision costs attention and energy — systematic frameworks reduce this cost.

  6. 6

    Decision types recur predictably

    Most decisions you face are variations of types you have encountered before.

  7. 7

    One framework per decision type

    Create a specific framework for each recurring decision type.

  8. 8

    The decision matrix for multi-criteria choices

    Weight your criteria and score options systematically when multiple factors matter.

  9. 9

    Confirmation bias operates in real time

    You unconsciously seek and emphasize evidence that confirms your existing beliefs.

  10. 10

    Decision agents

    Agents for recurring decision types like buy-versus-build or accept-versus-decline.

  11. 11

    Capture decisions and their reasoning

    Record not just what you decided but why — because your future self will rewrite the reasoning after the fact, and you will never notice it happening.

  12. 12

    The recency bias

    Recent events disproportionately influence your perception of what is normal or likely.

  13. 13

    What to never delegate

    Some decisions and responsibilities must remain with you — knowing which ones is a meta-skill.

  14. 14

    Trust but verify

    Trust your agents and systems — but build verification into the process, not as an afterthought.

  15. 15

    Over-delegation warning signs

    Delegating too much creates disconnection from the work that matters and atrophies critical skills.

  16. 16

    Externalize decisions not just information

    The most valuable thing to capture is why you chose what you chose. Decisions decay faster than facts — and unlike facts, they cannot be reconstructed after the outcome is known.