Try a mission →
04 · Work with AI

Use it well. Stay in charge.

Practical guidance for workers, students and business owners on adopting AI without losing what makes your work yours.

You don’t need to predict your whole career today

Uncertain is a reasonable place to start.

Start with one task, at your pace. AI can change work, but the answer is not “everyone must adapt alone”. Employers and developers also have responsibilities for training, clear policies, fair decisions and useful review.

Not sure where to begin?

Try a fictional activity without an account. Notice one useful idea and one limit before moving to your own work.

Choose a gentle activity →

Your work is changing?

Ask which tasks are changing, who checks the results and what training or consultation will be provided. You do not need to accept a model’s career prediction.

Map one task →

Prefer not to use AI?

That can be a thoughtful choice. The worksheets also help people brief each other and check information without an AI tool.

Learn with someone →
One task · no job-risk score

Find a useful first test.

Choose a draft you can check. Your answers stay in this tab; they are not sent to AI or stored. Use public or invented inputs only.

Principles

Four habits for working with AI

Practices to help you check work and retain responsibility—not a guarantee of safety.

01

Draft, don’t delegate

Let AI give you a first pass, then make the decisions yourself.

02

Check against inputs

Compare prices, dates, exceptions and commitments with approved records. Flag unknowns rather than letting the tool guess.

03

Guard the private

Never paste client, health or personal data into a public tool.

04

Say when you used it

Be open with colleagues, teachers and customers. Trust is the asset.

For small & medium business

Can this pilot meet its safeguards?

Tick what is true for this specific low-risk draft pilot. Critical gaps block a positive result; this is not certification.

Farmer using a drone in a wheat field
Hypothetical workshop · Agriculture

Hypothetical: compare a crop-image draft with observations from a qualified grower.

Students learning in a regional classroom
Hypothetical workshop · Education

Hypothetical: a learner checks a summary against its original public text.

City skyline at night
Hypothetical workshop · Small business

Hypothetical: draft an FAQ reply without inventing prices or sending it automatically.