Choose one useful AI task to try this week

A model announcement does not tell you which task to automate. Neither does a headline about compute prices. Choose a task you can inspect, then test whether the output is useful.

Choose one small task

Good first exercises have a short input, a clear result, and a person who can check it. Examples include turning meeting notes into an action list, organizing a document checklist, or drafting an answer from an approved FAQ.

Keep external actions out of the first attempt. A draft that a person reviews is easier to evaluate than a system that sends messages or changes records.

Write a task brief

Copy this worksheet and fill it in before opening a chat tool:

Task:
Sample input:
Expected output:
Facts the output must preserve:
Details it must not invent:
Person who will review it:
What counts as a failed result:
Actions that remain with a person:

For an action list, a failed result might be a task assigned to someone who never accepted it. For an FAQ draft, it might be a return policy that is absent from the source.

Compare against an answer key

Use a sample where you already know the answer. Check completeness, factual detail, and missing information. Then try an incomplete input and a conflicting input.

Save the inputs and the mistakes. They give you a repeatable way to judge the next prompt, instead of relying on whether the answer sounds convincing.

Decide from the work

Measure preparation, review, and corrections. Keep the workflow if the accepted result is useful and the total effort improves. Revise it if the same mistake keeps returning. Stop if it creates more work than it removes.

You do not need a prediction about the whole AI market to make that decision.

Start with the meeting-note exercise, the support draft exercise, or the measurement worksheet.