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Using AI to upgrade how you think, decide, and lead
Executive overview
Most people use AI to do tasks faster — emails, summaries, slide decks. That's using a supercomputer as a calculator. The real unlock is using AI to think better, learn faster, and stress-test every decision.
The framework has four moves: upgrade your inputs, red-team your outputs, automate the 92%, and shift your identity from doer to director.
AI doesn't just save time — it exposes what your brain is hiding from you.
The calculator trap
- AI used for task speed alone is wasted leverage
- Harvard study: AI-tutored students scored twice as high and finished faster
- The gap between people who use AI to think versus those who use it to execute is compounding daily
Upgrading your inputs
- Brain rot comes from low-quality inputs; better inputs produce better ideas
- Reset your social algorithm: wipe your explore feed and re-train it toward what you want to master
- Build a daily AI briefing: prompt your AI to surface the top three developments in your key areas each morning, with source links and a "why it matters" line
- Use NotebookLM for just-in-time learning — feed it a topic, then query it, generate flashcards, or spin up a mini podcast before a decision
- Just-in-time beats just-in-case: consume information when you're about to use it, not speculatively
Red-teaming your outputs
- Every bad business decision started as a great idea nobody challenged
- Intel's Andy Grove couldn't see the answer to their memory chip crisis until he asked: "If a new CEO walked in, what would they do?" — the answer was obvious to an outsider
- Pre-mortem prompt: "If this project fails in six months, why did that happen?" — work backwards from the disaster to find the single point of failure
- Blind-spot prompt: "You are a cynical, highly successful competitor. How would you exploit the weaknesses in this plan to steal my customers?"
- Risk-ranking prompt: "Rank the top three risks by likelihood and impact, then build a contingency plan for each"
- AI is the perfect red-team partner: no ego, no attachment, attacks from ten angles in thirty seconds
- Failing 100 times with AI costs nothing; the same tests in the real world cost $100k each
The 92% rule and your new identity
- AI can now handle 92% of tasks: writing, research, analysis, scheduling, drafting, building
- The remaining 8% is what only humans do well: taste (knowing what looks great), vision (seeing what should exist), care (enrolling people emotionally)
- The shift required: from doer to director — you come in at the end to judge, not to execute
- Map your weekly tasks on a quadrant (hard/easy for humans vs. hard/easy for computers)
- The top-right quadrant — hard for computers, easy for humans — is where your 8% lives: detecting sarcasm, reading a room, making ethical calls in ambiguous situations
- Everything in the bottom-left quadrant (easy for computers, hard for humans) should be automated first
- Tools like Manus AI and OpenClaw can go from prompt to completed project with no human involvement
- The future split: people who use AI to improve themselves versus people who use it to cut corners
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