Learn AI
Ten lessons that take you from what AI actually is to one automation running in your business. Plain English, no maths, and no claims we cannot stand behind.
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01
What AI actually is, in plain terms
No maths, no history, no hype. The one mechanism you need to understand before anything else makes sense.
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02
Your first prompt that actually works
The difference between a useless answer and a usable one is rarely the model. It is four pieces of information.
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03
The five jobs AI is already good at
Drafting, summarising, reformatting, sorting and extracting. Almost every successful business use is one of these five.
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04
What it costs, honestly
Subscriptions are the visible cost. The real number includes review time, corrections, and the tools you forgot you were paying for.
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05
When it is wrong, and how you catch it
It is not lying. It has no mechanism for knowing whether what it wrote is true — which makes a habit more useful than vigilance.
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06
Turning one task into a workflow
The step that separates playing with AI from getting value from it. Pick one task, map it, and be explicit about what a person still does.
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07
Connecting things without code
Triggers, actions and one approval. This is the whole vocabulary, and it is enough to automate real work.
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08
Your data, and what not to feed it
The practical version. What is genuinely risky, what is overblown, and a plain rule your team can actually remember.
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09
Measuring whether it worked
Three numbers, measured before and after. Without them you are guessing, and enthusiasm is not evidence.
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10
Your first 30 days
A week-by-week plan. Deliberately small, because the failure mode is a grand strategy that never ships.
10 lessons, meant to be read in order.