Clear thinking. Practical AI learning.

Learn how to think about using AI.

Frame better problems. Ask better questions. Evaluate the answers. Apply what works.

Your judgment connects the skills

30 practical lessons with feedback on your work. No coding background required.

See how the learning worksQuestions or account help

Thinking you can practise

A better question starts with a clearer problem.

AI Trained Me (EA3) is a learning platform for individuals and teams. Across 30 practical lessons, you work through scenarios, explain your decisions, receive feedback and revise gaps. A final project (capstone) brings those decisions together.

  1. 01

    Frame the problem

    Name the decision, who it affects and what a useful result must achieve.

  2. 02

    Decide whether AI fits

    Consider the available facts, privacy boundaries and whether direct human work is the better choice.

  3. 03

    Ask with purpose

    Give relevant context, clear constraints and a way to check the answer.

  4. 04

    Check the evidence

    Test claims against supplied sources. Identify assumptions, gaps and reasons to hold.

  5. 05

    Improve and decide

    Revise the work, explain your choice and keep responsibility with the person using it.

An illustrative workplace example

From a vague request to a useful decision.

“Use AI to improve customer support.”

Before writing a prompt, clarify the problem: are customers waiting too long, receiving incomplete answers or being sent to the wrong team?

A more useful starting point

“Compare the supplied fictional enquiries with the approved service guide. Identify unanswered questions and propose a staff checklist. Flag missing facts. A team lead must review it before use.”

Now there is a purpose, a source boundary, an output to inspect and a person responsible. The learner still has to check whether the proposed checklist solves the problem.

Skill Checks assess the work you submit. Feedback and focused corrections help you address gaps. Completion records learning progress; workplace use still needs appropriate checks and approval.

One skill. Value for you and your organization.

For individuals

Develop your own AI judgment.

Practise defining problems, giving useful context and deciding what to trust. Start as a beginner, with no coding background or paid AI tool required.

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For organizations

Build better judgment into everyday AI use.

Clearer problems and stronger review can reduce avoidable back-and-forth and rework. Start with a pilot and evaluate quality, support needs and time spent before expanding.

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