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AI at workBeginner

AI for Everyday Work

Email, documents, data, meetings and presentations with a language model — and the tasks where it has no business

AI for Everyday Work

About this course

A course for people who spend their day in email, documents and spreadsheets: office staff, team leads, analysts. Not about what artificial intelligence might do one day, but about the handful of tasks where it saves real time this week — turning raw text into a table, drafting and shortening documents, writing meeting minutes, preparing for a difficult conversation, building the skeleton of a presentation.

Every lesson carries a prompt you can copy and run on your own task, usually as a pair: a weak request and a stronger one for the same job, with an explanation of what the difference buys you. Just as much attention goes to the opposite question — where the tool creates the appearance of work, where checking the answer costs more than doing the task, and what must never be pasted into someone else's service.

No programming required. The techniques are not tied to any particular product or model version and work in any chat window.

Course curriculum

  1. AI as a work tool: where it pays off

    How to tell a task that genuinely saves you an hour from one that only produces the appearance of work, and where the boundary of your data runs.

    • 1.Which tasks pay off and which only look like work12 min
    • 2.What must never leave your office12 min

  2. Email and business correspondence

    The shortest loop there is: a draft, a reply, a change of register — plus taking someone else's argument apart before a difficult conversation.

    • 1.Email: draft, reply, register11 min
    • 2.A difficult conversation: taking an argument apart13 min

  3. Documents: draft, cut, summarise, minute

    Structure before text, shortening without losing conditions, reading a long document with a purpose, and turning a meeting into decisions and tasks.

    • 1.A draft that is worth editing13 min
    • 2.Reading a long document with a purpose14 min
    • 3.Meeting minutes and the tasks that come out of them12 min

  4. Tables, data and finding things out

    Turning unstructured text into rows, writing formulas instead of doing arithmetic, and collecting information without being handed invented sources.

    • 1.A pile of text into a table13 min
    • 2.Formulas, cleaning and why you should not ask it to count12 min
    • 3.Finding things out and checking facts14 min

  5. Presentations, templates and the working day

    Building the story of a talk before the slides, turning a good prompt into a reusable template, and fitting all of it into a day without inventing a new routine.

    • 1.A presentation: the story before the slides12 min
    • 2.Templates, checklists and the working day14 min