You already use AI every day. These four visual workflows take you from using AI to actually understanding how it works.
A growing gallery of AI concepts drawn as pictures — attention, embeddings, agents, ecosystems and more.
Twenty Hogwarts subjects mapped to AI concepts — charms for prompting, potions for fine-tuning, and more.
An interactive radial map of the whole AI landscape. Pan, zoom and explore how every idea connects.
Break AI systems apart brick by brick, then reassemble them — transformers, RAG and agents made buildable.
Connecting the Dots in the World of Artificial Intelligence
You now understand the basics of Artificial Intelligence. You know that AI can analyse information, recognise patterns, generate content and increasingly perform tasks that once required significant human effort. But the world of AI is moving quickly. Every week, we hear about:
For the AI Basic User, the next challenge is not to become a technical expert. It is to connect the dots.
This is the beginning of becoming truly AI-aware.
AI is not one single technology. It is an expanding ecosystem of capabilities. At the centre are increasingly powerful AI models—systems capable of understanding language, images, audio, video and other forms of information. These models are then used to create different kinds of AI applications.
AI that understands → AI that creates → AI that assists → AI that acts
One common mistake is to focus only on individual tools. Today there may be hundreds of AI products; tomorrow many of them may change or disappear. So instead of asking “Which AI tool should I use?”, ask “What capability does this AI give me?”
Tools will change. Capabilities will remain.
A simple AI chatbot can answer questions. But connect AI to company knowledge, data, business systems and workflows—and it can become a powerful business assistant.
The future of AI is not simply about smarter models. It is about connecting intelligence to knowledge, tools and action.
A copilot does not necessarily replace the employee. It works alongside them. Imagine an intelligent assistant that can:
The human remains in control, but the nature of work begins to change. Instead of doing everything manually, people learn to: Ask → Guide → Review → Improve → Decide
A basic AI tool waits for you to give it a task. An AI Agent can be designed to pursue an objective. Imagine giving an AI this instruction: “Monitor our competitors and inform me when something strategically important changes.” An AI Agent could potentially:
Tool → Assistant → Copilot → Agent
You do not need to build AI Agents. But you need to understand why this matters — because the next generation of work may involve humans collaborating with AI assistants, AI copilots, AI agents, automated workflows and digital workforces.
AI is not just a new software tool. It is becoming a general-purpose technology capable of influencing almost every part of the economy.
You don't need to chase every new announcement. Whenever you hear about a new development, ask:
You don't need to know everything. You need to know how to think about what is happening.
The objective is not to master everything. It is to understand the landscape.
That final question marks the beginning of the AI Strategist. The AI Basic User has learned to connect the dots. The AI Strategist learns to redesign the picture.
You do not need to become an AI engineer. You do not need to understand every algorithm. You do not need to use every new tool. But you do need to develop something increasingly valuable: AI Awareness — the ability to:
Because before you can develop an AI strategy, you first need to understand the AI landscape.
An observer becomes an explorer. An explorer becomes a practitioner. And eventually, a practitioner becomes an AI Strategist.