What does it mean that agents reduce decision fatigue?

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.

Try this: Audit your last workday. List every recurring decision you made — what to eat, what to wear, which task to start with, how to respond to routine messages, when to take breaks. Count them. Now select the three most frequent and design an agent for each using the trigger-condition-action structure from L-0404. For each agent, estimate how many daily decisions it would eliminate. Multiply by five workdays. That is how many decisions per week you are currently spending on problems you have already solved.