Question
What is cognitive load theory?
Quick Answer
When an agent handles a recurring decision you preserve energy for novel decisions.
Example: You check your email first thing every morning and spend twenty minutes deciding which messages need immediate responses, which can wait, and which are irrelevant. By 9:30 a.m. you have already made forty to fifty micro-decisions before your real work begins. Now imagine you build an agent: 'When an email arrives, if it is from a direct report and contains a question, flag it for response within two hours. If it is a newsletter, archive it to a weekend reading folder. If it is a calendar invitation, accept if the slot is open and decline if it conflicts.' That agent eliminates those fifty morning decisions. Your first real cognitive effort of the day goes toward the novel problem you were hired to solve — not toward inbox sorting you have done identically a thousand times before.
This concept is part of Agent Fundamentals in the How to Think curriculum.
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This topic is part of Delegate to AI Without Losing Judgment — a guided sequence of 16 lessons.
After completing this path you will run a working delegation boundary: a criteria framework for what goes to AI versus what stays with your judgment, specifications clear enough that AI output comes back usable, a verification practice that catches errors without redoing the work, and the warning signs of over-delegation before your judgment atrophies.
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