A system can discover that an action is possible, efficient, profitable, or even beneficial without answering the separate human question of whether the action should be allowed.
That sounds obvious until computation begins producing answers faster, at greater scale, and across causal chains too complicated for any one person to see. The temptation is to treat a strong recommendation as a decision already made.
Two different acts
Discovery asks: what can work?
Permission asks: who benefits, who pays, what rights are implicated, what uncertainty remains, what authority applies, and whether the action can be reversed if we are wrong?
Those questions overlap, but they are not interchangeable. Better computation can improve the evidence available to judgment. It cannot, by computational strength alone, make the judgment legitimate.
The architecture between them
ENOUGH calls that boundary the Decision Layer — the place where a candidate solution stops being merely an answer and has to earn the right to affect the world.
The Decision Layer is fictional. The need to distinguish discovery from permission is not.
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