What AI can and can't do
Split the task between AI and people
Mixed tasks become safer when decomposed. AI can assist bounded steps while people control goals, evidence, exceptions, values, and final decisions.
1Try it yourself
Playground
Can or can’t?
Tap Can or Can’t for each claim. Don’t fall for the hype.
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Summarize a long email in a few bullets
2Learn the idea
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The core idea
Mixed tasks become safer when decomposed. AI can assist bounded steps while people control goals, evidence, exceptions, values, and final decisions.
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A practical lens
Use this three-part method:
- List the steps and required inputs. Write down what this means in the scenario, what evidence would show it was done, and who owns the decision.
- Assign each step to ai, human, or a checked combination. Write down what this means in the scenario, what evidence would show it was done, and who owns the decision.
- Place review before irreversible actions. Write down what this means in the scenario, what evidence would show it was done, and who owns the decision.
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Worked example
Walk through Producing a client report involves collecting evidence, drafting prose, checking calculations, choosing recommendations, and accepting responsibility.. Label three moments where “Split the task between AI and people” changes what you trust: (1) the first fluent answer, (2) the first missing source or permission, and (3) the decision a human must own. Write the before/after task so the model only does the slice that evidence supports. Keep one sentence that states how this page’s idea differs from a generic “AI is smart/dumb” score.
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Common traps and better moves
- Automating an entire job because one step worked. This shortcut removes useful friction, but it also hides an assumption that should be tested. Replace it with an observable check.
- Putting review after the output has already caused harm. This shortcut removes useful friction, but it also hides an assumption that should be tested. Replace it with an observable check.
- Making a reviewer rubber-stamp too many outputs. This shortcut removes useful friction, but it also hides an assumption that should be tested. Replace it with an observable check.
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Build the habit
Before you close the tab, capture a reusable habit for Split the task between AI and people inside What AI can and can't do: name the observable check, the evidence you would open, and the stop condition. Rehearse it once on a low-stakes example, then once on a higher-stakes variant. The habit succeeds when you can explain the check without reopening this lesson. Target outcome: Explain AI capabilities as task-specific and conditional rather than magical.
Go deeper
Before you start
Why this matters
Producing a client report involves collecting evidence, drafting prose, checking calculations, choosing recommendations, and accepting responsibility.
Related lessons
Check your understanding
Page assessment
Answer from memory. Completion is saved from this evidence, not from opening the next page.
Local focus for Split the task between AI and people (What AI can and can't do): write the smallest test that would falsify a confident claim on this page, name the evidence you would open first, and note who must approve if the cost of being wrong is more than a redo. Keep the note under ten lines so you will actually reuse it.
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