Learn how AI actually works
Most explanations are either too technical or too vague. This is the version for managers, team leads, and business professionals who need to make real decisions about AI without becoming engineers.
Five modules. Fifty minutes.
Each module has an interactive diagram and takes about 10 minutes. Read in order or jump to what's relevant.
How language models work, what they can and can't do, and why 'AI knows things' is the wrong mental model.
The difference between a chatbot and an agent — and why agents that take actions require different thinking about risk.
What separates a demo from a production system, and why most AI failures happen at deployment, not in the model.
The questions to ask before deploying AI, what human oversight actually means, and how to evaluate vendor safety claims.
What AI is genuinely good at, where it fails, and how the people actually building with Claude and Cursor work day-to-day.
Apply the foundations to a live system
Use the Production Safety Framework to turn the course concepts into practical control questions, or check how an AI tool handles data against the public record.