Thinking Modes // V1.0
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BEYOND_PROMPT_ENGINEERING

You don't suck at AI.

You're missing the thinking layer.

Stop downloading 100-page PDFs of "ChatGPT prompt hacks" just to get generic, robotic mush. The problem isn't the magic words. It's the lexical gap between you and the machine.

Thinking Modes Book Cover

Why "Prompting" feels like gambling.

AI feels like a genius one minute and a complete idiot the next. That's not a model update. It's fuzzy input creating a messy state.

Most "AI experts" teach you what to type. Nobody teaches you how to think about the conversation itself. This is the gap that creates inconsistent results and "AI fatigue."

THE_STACK

Written by a full-stack developer and UX designer with 25 years of experience. A former instructor of Media & Information Literacy who spent decades teaching humans how to think critically about information systems before AI made it urgent.

Most AI frustration comes from these four gaps:

  • Underspecified Success: Asking without defining what a "win" looks like.
  • Assumed Context: Expecting the AI to know your "unspoken" preferences.
  • Emotional Reaction: Reacting to bad output instead of diagnosing the state.
  • First-Draft Acceptance: Treating the first answer as final instead of a baseline.

16 chapters. Zero fluff.

Each chapter is short and focused — built for people who want to understand the idea and move on to using it.

The Core Theory

  • Chapter 1: AI Rewards Clarity
    Why some people get magic and others get mush
  • Chapter 2: How We Learn
    Understanding your own process changes everything
  • Chapter 3: States, Not Feelings
    The mental shift that changes everything
  • Chapter 4: The Negotiator Analogy
    What hostage negotiators know that you don’t
  • Chapter 5: The 4 Control Knobs
    Your complete toolkit for steering AI conversations
  • Chapter 6: The Shared Mental Model
    Why saying “pink” doesn’t mean the same pink

Deep Dives

  • Chapter 7: Why Experts Get Better Answers
    It’s not what you know — it’s how you ask
  • Chapter 8: Engineered Love & Emotional UX
    How to tell care from capture

Practical Application

  • Chapter 9: Common Mistakes
    The patterns that trip everyone up
  • Chapter 10: The Checklist
    Your pre-flight check for every AI conversation
  • Chapter 11: AI as a Thinking Gym
    How to get smarter by talking to machines
  • Chapter 12: Long Horizon Tasks
    When the conversation spans days, not minutes
  • Chapter 13: Optimizing Your AI Memory
    How to teach AI who you are
  • Chapter 14: Persona Attractors
    How role patterns emerge, resonate, and stabilize

Workbook & Resources

  • Workbook & Practice Plan
    6 exercises + 30 Days to Fluency
  • Resources & Closing
    Where to go from here

WHO_THIS_IS_NOT_FOR

If you're looking for a list of 500 "copy-paste prompts" or a magic button that does all the work for you without your brain engaged — this is not that book.

This is for people who want to be better thinkers while using AI.

This book came from real frustration.

I've been working with AI tools since they became genuinely useful — and I spent a long time feeling like I was fighting them instead of working with them.

The shift happened when I stopped trying to find the "right prompt" and started thinking about the conditions I was creating. What was I actually asking for? What was I leaving out?

Thinking Modes is what I wish someone had handed me at the beginning. It's short because I don't have time for long — and I figured you probably don't either.

— Carmelyne V.M. Thompson
Full-stack developer, designer, educator, and systems thinker with 25 years of experience across web and app development, UX, technical operations, and product management, now working at the intersection of AI, systems design, and human-centered technology. Former instructor of Media and Information Literacy and Empowerment Technologies.

Ready to think with AI —
not just at it?

Pick up Thinking Modes and start your next conversation with clarity.

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