Key answer
Separate supported facts from willingness to accept value tradeoffs. AI can compare consequences or choose under confirmed preferences; unformed preferences should not become decisions through repeated recommendation.
Full explanation
Two learning plans may both work: one faster with heavier daily effort, another slower but sustainable. AI can estimate work and omissions, but “most efficient” does not establish your willingness to sacrifice rest. Facts and chosen priorities differ.
Buçinca et al.'s 199-person assisted-decision experiment compared interventions such as independent initial judgment and on-demand advice against direct explanations. Active-thinking designs reduced overreliance on wrong advice with experience costs. Tasks were structured decisions such as ingredient substitution. Study
A lighter daily method is to state one or two priorities and unacceptable costs before recommendations, then inspect whether evaluation standards shifted. Complex weight tables are unnecessary; being able to explain the choice matters.
Sustainability matters more to me than speed; I have half an hour daily. Compare two plans, their costs and assumptions behind your recommendation. Do not equate fastest with best for me. Recommend under these preferences if sufficient; identify genuinely unresolved value tradeoffs separately.
Complete in your own words: “I choose this because…, and accept the cost of….” If you can only repeat “AI says optimal,” revisit evidence or defer. Delegation itself can be autonomous; retain control of authorization and reasons rather than personally redoing every small decision.