Lesson 3 of 7 · 8 minutes
Find a task worth using AI for
Weigh a possible task by how often it repeats, how fuzzy it is, what a mistake would cost, how easily you could undo it, and whether a capable person could actually check the result.
Reviewed 18 October 2026
Why this matters
The task that makes a great demo is rarely the best one to start with for real.
A small, reversible experiment teaches you more than a big commitment you cannot walk back.
The practical bit
AI tends to earn its place where work involves language, messy information, several options or rough drafts, and where you can recognise a good result when you see one. High volume and repetition make a task more worth handing over, but they never remove your need to understand how it fails.
Go slowly when the inputs are sensitive, when a mistake would land on real people, when the answer is hard to check, or when the action cannot be undone. AI can still help with a bounded slice of those, but it should not own the decision or press the button.
What it looks like
Turning your own meeting notes into a first draft of a weekly update is bounded and easy to review. Auto-sending performance feedback to staff is neither, because it is consequential, personal and hard to take back.
A first-pass packing list is trivial to check at a glance. An unsourced answer about medication doses is the opposite, and belongs with a pharmacist or doctor rather than a chatbot.
Reaching for the task that eats the most time, without asking whether its failures would eat even more time, trust or money.
Use your judgement
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Score one candidate task
0 of 3 done
Check: Your first test should avoid customer, production or irreversible exposure.
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Use this in a real situation
Choose a practical taskCompare six bounded, checkable starting points before choosing a product.Open the practical →Keep this
Start where the usefulness is real, the checking is possible and a mistake is easy to recover from.