AI Academy6 articles
In-depth, plain-English articles that connect the concepts: how AI actually works, where it creates value, and how to use it well.
AI, machine learning and generative AI: what's the difference?
These four terms get used as if they mean the same thing. They don't, they nest inside one another like Russian dolls. Getting the picture straight makes every other AI conversation easier.
Explore ToolingFrom chatbot to AI agent: RAG, tools and MCP explained
A chatbot answers. An agent acts. The jump between them comes down to three ideas, giving the model knowledge it can look up, tools it can use, and a standard way to plug those tools in.
Explore FoundationsHow does an AI chatbot actually work?
AI chatbots feel like they understand you. Under the hood, something simpler and stranger is happening, they predict text one small piece at a time. Here is how that turns into a helpful assistant, and where it goes wrong.
Explore PromptingA practical guide to prompt engineering
The same AI can give you a useless answer or an excellent one, depending on how you ask. Here are the techniques that reliably move you from the first to the second.
Explore Business & PracticeWhere AI actually creates value (and where it doesn't yet)
The technology is rarely the hard part. Capturing real value from AI comes down to choosing the right tasks, redesigning how work flows, and building the habit of using it well.
Explore Risks & GovernanceWhy AI hallucinates, and how to work around it
AI's most important flaw is that it can be confidently wrong. Understanding why, it optimises for plausible text, not truth, tells you exactly how to protect yourself.
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