Episodes | Craig's AI Education Project

Learn AI Through Episodes

This site organizes AI education into episodes - focused, structured content that builds on itself. Each episode tackles a specific aspect of AI, from foundational concepts through practical application and real-world case studies.

The approach: Rather than overwhelming you with everything at once, episodes provide a clear path through the material. Start with Episode 1 if you're new to AI, or jump to specific topics that interest you.

Not sure where to start? See our guide to using this site for learning paths tailored to your experience level and goals.

Available Episodes

Episode 1

Introduction to AI

What is AI, really? Strip away the hype and understand what these systems actually are, what they can do, and what they cannot. Foundation concepts for everything that follows.

Episode 2: Real-World Applications

Working with AI

Practical techniques for effective AI collaboration - prompting strategies, iteration approaches, context management, and maintaining your voice. Includes real case studies and measured efficiency gains.

Main Episode AI as Work Partner Use Case: Documentation Lessons Learned 9x Efficiency Study

Episode 3: Understanding AI

How AI Actually Works

Pattern matching at scale, neural networks, tokens and predictions, training vs. using, realistic capabilities and limitations. Understand AI well enough to work with it effectively and set proper expectations.

Conceptual Understanding Technical Stack (Hardware to Application)

Episode 4: AI in Practice

Building This Site

A meta-episode: how this entire website was built collaboratively with AI, documented transparently. The Building in Public philosophy applied to educational content creation - every decision, iteration, and lesson learned.

Main Episode Full Project Diary 9x Efficiency Case Study

Advanced Topics & Deep Dives

For those ready to go deeper: LLM architecture details (transformers, attention, positional encoding), training processes (pre-training, RLHF), fine-tuning techniques (LoRA, RAG), advanced prompt engineering, and current state of AI research.

Main Episode Technical Deep-Dive Hub

Episode 6: Thirty Days Later

🔁 Thirty Days Later

What we found when we finally stopped to look back. The leap from Day 1 to Day 4 got documented right away — but the next 30 days ran on a rhythm we never stopped to name: Plan, Track, Review. A look at how periodic review turned from a status check into the thing that kept generating new work.

Main Episode Lessons Learned Full Project Diary

How to Use Episodes

If you're completely new to AI: Start with Episode 1 (Introduction to AI) to understand what AI is and isn't, then move to Episode 3 (Understanding AI) for deeper technical knowledge, and Episode 2 (Working with AI) for practical application.

If you want to use AI immediately: Jump straight to Episode 2 and its related content - practical techniques, use cases, and real examples to get you productive quickly.

If you want to see it in action: Episode 4 (Building This Site) shows you the complete process of creating this website with AI - all 10+ days documented with full transparency.

If you want technical depth: Episode 3's architecture stack content and the Technical Deep-Dive section provide detailed knowledge about how AI systems are built and operate.