AI Fluent.

Four short lessons on why AI feels overwhelming, what this course is and is not, and what 'enough understanding' actually means for someone who is not technical. Includes the AI Confusion Bingo quiz — a good way to see where you actually stand before you start.

Seven lessons cutting through the noise: AI in movies vs the AI you are actually using, what a model is, the difference between training and using a model, why models do not continuously update, why AI does not actually think, and why it cannot remember. Includes an 'AI in Plain English' one-pager.

Five lessons on the mechanics behind AI's behaviour: tokens, probability and why AI sounds confident even when wrong, context windows and why AI loses the plot, hallucinations and what is actually happening, and why better prompts work. Includes a 'Why AI Behaves Strangely' one-pager.

Six lessons on how the AI world is structured: the stack and why people mix its layers, models vs tools vs your experience, the major players without allegiance, why acronyms multiply, and what is core versus optional. Includes a Major Stacks Cheat Sheet and 'The AI Map' one-pager.

Four lessons on the 20 acronyms and terms you will encounter constantly — at recognition level, not engineering level. Includes a triage system (model, technique, or product?) so you can place any new term you encounter. Includes an 'Acronyms Without Panic' one-pager.

Five lessons on the decision most people skip: what AI is genuinely good at and why, where it quietly fails even when it sounds confident, what code is and where AI fits with it, and when 'nothing' is the correct answer. Includes a 'When to Use AI' one-pager.

Seven lessons on evaluating and selecting tools without getting caught in product tribalism: the five axes that actually matter, why new versions sometimes feel worse, calm tool switching, and a practical rundown of the major players today. Includes a 'Choosing AI Calmly' one-pager.

Seven lessons on the next layer of AI: what agents actually are, how they differ from chat, what A2A and automation mean in practice, when agents make sense, and — importantly — when you do not need them yet. Includes an 'Agents Without the Panic' one-pager.

Seven lessons on developing genuine competence: why skill is not about prompts at first, context as the core skill, why iteration is not failure, knowing when AI is guessing, and prompt writing basics without tricks. Includes a 'Building AI Skill' one-pager.

Six lessons on what is actually happening when AI feels supportive: how it is optimised to continue the conversation, why it mirrors your ideas and rarely pushes back, the subtle risk of accelerated confidence, and how to reintroduce critical distance without losing the benefits. Includes a 'Why AI Feels Supportive' one-pager.

Seven lessons on navigating the noise: why AI news always sounds urgent, separating research from products from reality, why podcasts sound smarter than headlines, red flags for overreach, and what to ignore on purpose. Includes a 'Following AI News Calmly' one-pager.

The capstone. A framework for staying calibrated as AI keeps moving, built from everything across the course. Not a summary — a perspective for the long run.

Every term from across the course in one place. Reference it when you encounter a word you have forgotten, or something from the news you want to place.