One useful task.
A result you can trust.

Start with: a low-risk task such as understanding a letter, planning a week or drafting a message.

1. Choose a short message, explanation or plan using made-up or public details.
2. Tell the assistant your goal and ask for a short first draft.
3. Check the facts and edit the result before you use it.

Start with: one repetitive, low-risk task you already know how to judge.

1. Pick one repeated task and use only employer-approved tools and sample data.
2. Write down what a good result must include. Ask AI for a draft, not a final decision.
3. Compare accuracy and checking time with your usual method. Keep it only if it helps.

Start with: the tasks in your role—not a frightening job-title prediction.

1. List three tasks in your role, rather than judging the whole job title.
2. Choose one skill to practise and make a small example of your own work.
3. Record what you decided, what AI helped with and how you checked the result.

Start with: one buyer, one repeated problem and a supervised result you can explain.

1. Ask one potential customer about a repeated problem before choosing a tool.
2. Try a small, supervised solution with sample data and a clearly agreed result.
3. Check quality, time and customer feedback before offering a larger service.

Start with: a real user problem and the smallest safe prototype that can test it.

1. Define one user, one task and one clear success condition.
2. Build the smallest prototype with test data and limited permissions.
3. Test failures and require a person to approve consequential actions.