AI Foundations
Foundational presentations
Start with these three decks to understand how AI works, where it fails, and how to use it responsibly, before moving into workflows, builders, or playbooks. They read as one connected path: take them in order.
Three decks, read in order. Each one builds on the last.
- 01
AI Is Not Intelligent
A plain-language look at what large language models actually do, including probabilities, tokens, hallucinations, context windows, and pattern prediction, while exploring why so many people mistake the output for genuine understanding.
- 02
The Art & Science of Prompting AI
A practical walkthrough of how to prompt large language models well: the structure, context, and iteration that separate a vague request from a reliable result.
- 03
When AI Takes Action
A plain-language look at AI agents. It covers what an agent really is once you give a language model tools and a goal, how the perceive-decide-act-observe loop works, where memory and planning come from, why agents fail differently than chatbots, and the security risks of letting AI act.
