Working With AI Day to Day: What It Saves, and What Checking It Costs
You take six weeks of one merchandising desk's own logged use, task by task. You see what was given to the assistant, what it took to check what came back, and the honest net. Two tasks come out negative and are retired. The arithmetic decides, not the enthusiasm.
Published by Merchandising Academy · First lesson free to read
Course value
What will you be able to do?
Work outcome
You can use an assistant on your own order data without taking its word for anything, tell a real capability from a demonstration, and set the rules under which your team is allowed to act on what it says.
Who it is for
Factory, supplier, brand and buying-office teams.
What you will produce
You build a task ledger you can run on your own desk. You use the five-term equation and the four checkability classes. You measure a break-even task size. You apply the pointer, side-by-side, and figure-diff patterns. You set a review-rate budget. And you keep a six-week scoreboard that names which tasks to keep and which to retire.
Learning format
11 lessons · 0 templates · workplace calculations and decisions.
Lessons
- 01The unit of account is a task, not a tool🔒14 min
- 02What to give it: the facts, the format, the forbidden🔒13 min
- 03Checkability, and the four classes of output🔒13 min
- 04Reading a long document: ask for pointers, never a summary🔒13 min
- 05Drafting a message: the saving is on the blank page🔒12 min
- 06Reconciling a list: change the output's shape, change the review🔒13 min
- 07Setting up a calculation: the task where the arithmetic says no🔒13 min
- 08Translation, checked the way it actually fails🔒13 min
- 09The review budget, and the rate at which checking stops working🔒12 min
- 10The log, and why the task you use most pays least🔒12 min
- 11Six weeks, honestly totalled🔒12 min