AI-Assisted Learning Workbook 2 Download

📘 AI-Assisted Learning Workbook #2

From Prompting to Independent Thinking

By Laurence “Lars” Svekis

Who This Workbook Is For

This workbook is for learners who:

Already use AI (ChatGPT, Gemini, Claude, etc.)
Feel productive but not fully confident
Want to think better, not just faster
Want to reduce AI dependency over time

📌 Core Shift:
Workbook #1 = Learning with AI
Workbook #2 = Thinking independently with AI

🧠 Workbook Philosophy

AI should sharpen judgment — not replace it.

This workbook trains learners to:

Use AI as a thinking mirror
Detect shallow understanding
Strengthen decision-making
Build confidence without AI crutches

🧩 Workbook Structure (10 Issues)

Each issue contains:

Goal
Mental model
3–5 guided exercises
Reflection
Reusable prompts

1️⃣ FROM PROMPTS TO PRINCIPLES

Goal: Stop relying on perfect prompts.

Exercise 1 — Principle Extraction

Prompt

Teach me this concept, then extract the core principle behind it.

Exercise 2 — Rebuild from Principle

Now explain the topic again using ONLY the principle.

📌 Learners stop memorizing phrasing and start understanding structure.

2️⃣ THINKING BEFORE ASKING

Goal: Build pre-AI thinking muscle.

Exercise 1 — Pre-Answer Commitment

Ask me to write my answer first before you respond.

Exercise 2 — Gap Analysis

Compare my thinking to a strong answer.
Where was I strong? Where did I shortcut?

📌 Confidence grows through effort, not automation.

3️⃣ DECISION-MAKING WITH AI

Goal: Improve judgment, not speed.

Exercise 1 — Decision Framing

Help me frame this decision clearly:
- goal
- constraints
- success criteria

Exercise 2 — Tradeoff Mapping

Map the tradeoffs of each option.

📌 Learners stop asking “what should I do?” and start asking “what am I trading off?”

4️⃣ ERROR-FIRST LEARNING

Goal: Learn faster by embracing mistakes.

Exercise 1 — Predict the Error

What mistake am I most likely to make here?

Exercise 2 — Failure Simulation

Show me what failure looks like and why it happens.

📌 Fear drops. Learning accelerates.

5️⃣ DEPENDENCY REDUCTION

Goal: Use AI less — more effectively.

Exercise 1 — AI-Free Pass

Learner completes task without AI.

Exercise 2 — AI Review Only

Review my work. Do not rewrite it.

📌 AI becomes a coach, not a crutch.

6️⃣ CONFIDENCE THROUGH CONSTRAINTS

Goal: Build clarity by limiting scope.

Exercise 1 — One-Tool Rule

Solve this using only one concept.

Exercise 2 — Time Box

Teach me this in 5 minutes worth of ideas.

📌 Clarity beats completeness.

7️⃣ THINKING IN SYSTEMS

Goal: See patterns, not fragments.

Exercise 1 — System Mapping

Map this topic as a system:
inputs → process → output → feedback

Exercise 2 — System Failure

Where does this system usually break?

📌 Learners stop feeling “lost” inside complexity.

8️⃣ TRANSFER & GENERALIZATION

Goal: Prove understanding.

Exercise 1 — Cross-Domain Mapping

Apply this concept to a different field.

Exercise 2 — Teaching Transfer

Explain this using a real-world analogy from my life.

📌 If it transfers, it’s real.

9️⃣ BUILDING INTUITION

Goal: Move beyond rules.

Exercise 1 — When NOT to Use This

When does this approach fail or become inefficient?

Exercise 2 — Pattern Recognition

What signals tell me I should use this?

📌 Intuition = pattern + experience.

🔟 THE AI GRADUATION PLAN

Goal: Become an independent thinker.

Exercise 1 — AI Exit Strategy

Which parts of this topic can I now do without AI?

Exercise 2 — Confidence Audit

Where do I still hesitate — and why?

Exercise 3 — Final Meta Statement

I use AI best when…
I rely on myself when…
My next thinking upgrade is…

🧠 How This Workbook Complements the First

Workbook 1	Workbook 2
Learning systems	Thinking systems
Prompt control	Judgment control
AI as guide	AI as mirror
Skill acquisition	Confidence & independence

🚀 Ideal Uses

Follow-up workbook
Intermediate AI learners
Developers, educators, professionals
University / adult education
LinkedIn Newsletter series
Paid or free lead magnet