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Page 1 of 8~116 min topic

What AI can and can't do

Capability is task-specific

AI is not simply capable or incapable. Performance depends on the exact task, context, data, tools, success criteria, and cost of error.

~14 min this pageHook and mental model

1Try it yourself

Playground

Can or can’t?

Tap Can or Can’t for each claim. Don’t fall for the hype.

1 / 5

Summarize a long email in a few bullets

2Learn the idea

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The core idea

AI is not simply capable or incapable. Performance depends on the exact task, context, data, tools, success criteria, and cost of error.

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A practical lens

Use this three-part method:

  1. Name the task as an observable action. Write down what this means in the scenario, what evidence would show it was done, and who owns the decision.
  2. Define what a good output must satisfy. Write down what this means in the scenario, what evidence would show it was done, and who owns the decision.
  3. Test the conditions under which performance changes. 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 An assistant writes a clear event invitation in seconds, then confidently gives the wrong venue opening time.. Label three moments where “Capability is task-specific” 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

  • Judging a system from one impressive demo. This shortcut removes useful friction, but it also hides an assumption that should be tested. Replace it with an observable check.
  • Describing intelligence as one universal score. This shortcut removes useful friction, but it also hides an assumption that should be tested. Replace it with an observable check.
  • Assuming related tasks have equal reliability. 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 Capability is task-specific 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

An assistant writes a clear event invitation in seconds, then confidently gives the wrong venue opening time.

Check your understanding

Page assessment

Answer from memory. Completion is saved from this evidence, not from opening the next page.

Local focus for Capability is task-specific (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.

1. Explain the page’s core distinction without using the word “smart.”
2. Which fact, source, permission, or test would most change your judgment in the opening scenario?
3. Name one low-consequence use where a light check is enough and one high-consequence use where independent review is required.
4. What should a responsible user do when the available evidence cannot support the requested conclusion?

All responses are required.