Three tiers. Real skills. No prerequisites. Each lesson takes 5–10 minutes, with practical exercises you
can try immediately.
Beginner
The Basics
5 lessons · ≈ 30 min
0 / 5 complete
Intermediate
Power User
5 lessons · ≈ 40 min
0 / 5 complete
Advanced
AI Pro
4 lessons · ≈ 35 min
0 / 4 complete
Beginner
The Basics
What AI
actually is, how chatbots work, and your first real conversation with one.
1
What is AI, really?
Forget the sci-fi version. AI in 2025 is software that predicts what comes next — in
text, images, or code. Think autocomplete, but dramatically more powerful. Large
Language Models (LLMs) like GPT-4 and Claude are trained on billions of text examples so
they can generate helpful, human-like responses. They don't "think" — they pattern-match
at an extraordinary scale.
5 min read
No exercise
2
Your first AI conversation
Open ChatGPT, Claude, or Gemini and type: "Explain what you are in 3 sentences, as if
I'm a university student who's never used AI before." Read the response. Then
try: "Now explain it in one sentence." Congratulations — you've just done your
first prompt iteration. You gave feedback to an AI, and it adjusted. This back-and-forth
is the foundation of everything that follows.
5 min read
Hands-on exercise
3
The big three: ChatGPT, Claude & Gemini
These are the three AI chatbots you should know. ChatGPT (by OpenAI) is
the most popular — great for general tasks, writing, and brainstorming.
Claude (by Anthropic) excels at nuanced, thoughtful responses and
handling long documents. Gemini (by Google) is tightly integrated with
Google's ecosystem and strong at research. Try the same question in all three — you'll
notice they each have a different "personality."
7 min read
Compare all 3
4
What AI can and can't do
AI is great at: drafting emails, summarising articles, brainstorming
ideas, explaining concepts, translating languages, and writing code. AI
struggles with: real-time information (it has a knowledge cutoff), maths
requiring precision, citing real sources accurately, and understanding your specific
personal context. The golden rule: always verify important facts. Use AI as a first
draft, not a final answer.
6 min read
5
AI safety & ethics: the 5-minute version
Before you go further, three essential principles. 1) Don't share sensitive
data — anything you type into a chatbot could be used for training. Never
paste passwords, private documents, or confidential work data. 2) AI can be
biased — models learn from human text, which includes human prejudices.
Stay critical. 3) Give credit — if AI helps you write something, be
transparent about it, especially in academic or professional contexts.
5 min read
🧠 Quick Check: Beginner Tier
Let's see
what stuck. Pick the best answer.
What is the best way to think about what an LLM does?
Intermediate
Power User
Prompt
engineering, research workflows, and getting 10x more value from AI.
1
Prompt engineering 101
The quality of your output depends almost entirely on the quality of your input. Here's
the framework: Role ("You are an experienced copywriter"),
Task ("Write a LinkedIn post about…"), Context ("My
audience is UK marketing managers"), Format ("Keep it under 150 words,
use bullet points"). Try adding each of these layers and watch how the output improves
with each one.
8 min readBuild a prompt
2
Chain-of-thought: making AI show its work
When you ask AI to solve something complex, add: "Think step by step." This
single phrase dramatically improves accuracy on reasoning tasks. Why? It forces the
model to break a problem into stages instead of jumping to a conclusion. Try it with a
maths problem, a business decision, or a tricky essay question. Compare the result with
and without — the difference is striking.
6 min readComparison exercise
3
Research with NotebookLM
Google's NotebookLM lets you upload PDFs, articles, and notes — then
chat with them. It's like having a research assistant that has read everything you've
ever highlighted. Upload a lecture slide deck and ask: "Summarise the key
arguments" or "Create flashcards from this material." Unlike general
chatbots, NotebookLM only uses your sources, which means no hallucinated facts.
7 min readUpload & chat
4
AI for writing: from blank page to final draft
AI is not the best writer — but it's the best writing partner. Use it to:
brainstorm (give me 10 angles for an essay on X),
outline (structure a 2,000-word report on Y), draft
(write the introduction in a formal academic tone), and refine (make
this paragraph more concise). The trick is to stay in control — edit everything, add
your voice, and never submit AI output as-is.
8 min readWrite an essay intro
5
Building your personal AI toolkit
By now you've used a few tools. Time to get strategic. Choose one primary
chatbot (the one whose tone and speed you prefer), one research
tool (NotebookLM or Perplexity), and one writing tool (the
chatbot, or a dedicated tool like Grammarly with AI). Stick with these for two weeks.
Mastery comes from depth, not from jumping between 20 tools.
5 min readPick your stack
🧠 Quick Check: Intermediate Tier
Test your
prompt engineering knowledge.
In the Role-Task-Context-Format framework, what does "Context" refer to?
Advanced
AI Pro
AI coding
assistants, automated workflows, and building with AI agents.
1
AI coding assistants: Claude Code & Cursor
Claude Code lets you have a conversation with AI that can read, write,
and edit code across your entire project. Think of it as a senior developer
pair-programming with you in your terminal. Cursor takes a similar
approach but lives inside a code editor with inline suggestions. You don't need to be a
developer to benefit — these tools can help you automate spreadsheets, build simple
apps, or understand code you've inherited.
8 min readTry a code task
2
Antigravity: your AI workspace
Antigravity is a new breed of AI tool — an intelligent workspace where
AI doesn't just answer questions, it actively helps you build. Upload documents, paste
research, describe what you want to create, and Antigravity helps you structure, write,
and iterate — all in one place. It's designed for people who want AI to be a true
collaborator, not just a chat window. Think of it as the difference between texting a
friend and actually working alongside them.
7 min readExplore Antigravity
3
AI agents: the next frontier
An AI agent is an AI that doesn't just respond — it takes actions. It
can browse the web, run code, manage files, and complete multi-step tasks autonomously.
Tools like Claude Code's agentic mode and Antigravity already let you experience this.
Instead of giving AI one question at a time, you give it a goal: "Research
competitor pricing, create a comparison table, and draft an email summary." The
AI plans the steps and executes them.
8 min read
4
Building your AI-powered workflow
You've learned the tools — now put them together. Here's a real workflow: Morning
research — use Perplexity or NotebookLM to catch up on a topic.
Deep work — use Claude or ChatGPT to brainstorm, outline, and draft.
Code/build — use Claude Code or Antigravity for technical tasks.
Review — use AI to proofread, check logic, and format. The key is
building habits, not just knowing tools. Start with one AI touchpoint per day and expand
from there.
10 min readDesign your workflow
🧠 Quick Check: Advanced Tier
Final
knowledge check.
What makes an AI "agent" different from a regular chatbot?
Ready to put it into practice?
Head to our prompt templates and start using AI
right now.