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~38 min
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Course

Sort Tickets, Applications and CVs with Jev

8 lessons

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One whole course is free. After that, one payment of $10 opens all 19 courses in the catalogue today. What’s included →

Somebody spends their morning reading the same kind of thing over and over, answering the same question about each one. Most of that is not writing. It is one question, asked again and again, and the answer is one word. There is a kind of AI built only for answers like that. People call it a decision model. The steps here work with any decision model. The one you set up is called Jev. You write the one question, and the list of answers it is allowed to give. Every answer comes back with a number saying how sure it was. You decide which answers you accept, and which few get a second look. Eight short lessons. You finish with one filled-in card for a job of your own — hand it to your assistant, or to a developer.

What you’ll learn

  1. 1.Sorting customer messages, then your own work

    One inbox of customer messages runs from lesson 1 to lesson 7. You start by telling deciding work from writing work. You choose the kind of answer you ask for, and write the list a decision model may choose from. You see what a missing answer costs, and how three models compare on right answers, time and cost. Then you decide which answers you accept, and which few get a second look. In lesson 8 you fill in the same card for work of your own.

    8 lessons

    1. 212 emails, one question
    2. Choose the kind of answer you ask for
    3. Set up a decision model, and write its answers
    4. Add an answer for the messages that fit nothing
    5. Compare three models on right answers, time and cost
    6. Decide which answers you accept, and which get checked
    7. Counting, dates and arithmetic: give those to a spreadsheet
    8. Fill in one card for work of your own

How this course works

This is an interactive course, not a video playlist. Lessons mix short explanations with hands-on activities — quizzes, drag-and-drop exercises, branching scenarios and step-ordering challenges — and you have to complete each activity before moving on, so you practise rather than skim. Your progress is saved as you go, so you can stop after any lesson and pick up where you left off.

Topics covered

  • decision models
  • sorting work
  • answer lists
  • confidence scores
  • AI running costs
  • automation
  • interactive