AI as a skill
AI is a skill, not a tool
Tools change fast. Judgment lasts. Here it is in four levels, each harder than the last.
The four levels
What each level looks like at work
Level 1UsingYou get good results when the system behaves normally.
In practice: You paste a messy dataset description into a chat model and get a clean schema you'd have spent 20 minutes on.
Where it stops: It transfers badly. Change the tool or the task and most of it was the interface.
Level 2EvaluatingYou can tell whether the output is right, and how you'd know.
In practice: An agent summarises 40 interviews. You check 6 of them first, and find it dropped every negative outlier.
Where it stops: Checking costs time. The skill is choosing what to verify, and the cheapest check that catches the error you fear.
Level 3DirectingYou split real work into steps a system can do and you can supervise.
In practice: Not 'handle onboarding emails' but: classify intent, fetch two policy clauses, draft only when confident, otherwise escalate.
Where it stops: No framework tells you where the human checkpoint belongs. That is judgment.
Level 4RedesigningYou reshape the problem so the system's failures land somewhere harmless.
In practice: A support-drafting product becomes a policy-lookup product. Same model, far less risk, more useful.
Where it stops: It takes having been wrong before, with consequences. Experience buys it. Reading doesn't.
The short version
Where each level is learned
Levels 1 and 2 come from content.Levels 3 and 4 come from practice
Practise levels 3 and 4
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