Train your team so skills stick

When you finish, you can plan simple hands-on training and follow-up.

Learning by doing

People learn AI by using it on their own work. A long lecture helps less than a short demo followed by practice. Plan 60 minutes: 10 minutes of basics, 10 minutes on safety, 30 minutes of hands-on tasks, and 10 minutes of questions.

Use real tasks from your team's work, with sensitive details removed. People see value when the practice looks like Monday morning.

Teach the habits, not the buttons

Tool screens change often. The lasting skills are: write a clear request, give context, check the output, protect private data, and ask for improvements. Teach these with a weak prompt and a strong prompt on a real task.

Example: Weak: "Write an update." Strong: "Write a five-line update for my team about this week's delivery delays. Keep the tone calm. Here are the facts: [facts]."

Support after the session

One session is not enough. Set up a shared place for good prompts and lessons learned. Hold a short check-in two weeks later. Pair confident users with newcomers. Celebrate small wins without pressure.

Not everyone moves at the same speed. Some will be eager; some will be careful. Both help the team. Make it fine to say, "I don't get it yet."

A worked example

Joao leads a small accounting office in Lisbon. He runs a 60-minute session where each person brings one repetitive writing task. They practice with sample text, never client data, and save their best prompts in a shared note.

Two weeks later he asks each person to share one thing that worked and one that did not. The team learns from real examples, and the quieter staff speak up in writing.

Practice now

Plan a 60-minute session for your team with the timings above and two real practice tasks.
Create a shared prompt library page and add three starter prompts.

Use any AI assistant you have. Do not paste private, client or patient information into it.

Check yourself

1. What works better than a long lecture?

2. Which should training focus on?

3. Why follow up after training?

Ask the AI tutor

Ask anything about this lesson, in any language. The tutor is an AI: it can be wrong, and it never needs your personal details.

Next lesson: Measure time saved honestly

AI-drafted. Checked by an automated validator and a separate AI reviewer; a person has not read every lesson. Translations and tutor answers are AI-made. Found a mistake? Tell us. AI can be wrong. General information only, not professional advice. Not affiliated with any AI company named. Current University is not accredited.