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Choose a real subject you will explain, learn, or train on. It might be a concept in science, a
         skill at work, a university unit, or professional training. Do not begin with the tool. Begin with
         a clear learning problem, such as: “participants memorize the steps but cannot tell when to

         use each one”, or “students write correct definitions but cannot analyze a case”.

         Define one core outcome that can be observed. Use a verb such as explain, apply, compare,
         justify,  or  design.  Then  write  the  evidence  that  would  convince  you  the  outcome  was

         achieved. It might be a two-minute explanation, a decision table, a solution to a new case, a
         prototype, or a live performance. Do not let “completing the activity” be the only evidence.
         Design a first attempt before AI intervenes. The learner might write a prediction, solve part

         of the problem, draw a map, or choose a decision and justify it. This attempt reveals the
         starting point and prevents the tool from hiding the gap. Set its time and size so that it is
         feasible and does not become a full test.


         Choose  one  or  two  roles  for  the  tool.  It  might  be  an  explainer  offering  an  alternative

         example, a coach giving hints, a simulator, or a feedback assistant working to a criterion.
         Write down what it should not do, such as not giving the final solution, not awarding a grade,
         and not using personal data.


         Define the sequence of interaction. What does the learner see first? What is the question?

         When does the tool enter? When does the teacher intervene? What is the stopping point?
         What happens if the tool gives inaccurate information or the connection fails? Every activity

         needs a main path and a simple alternative path.

         Add a moment of checking after the support. Do not use the same example; offer a transfer
         case or ask for an  explanation in  the learner’s own voice.  Then add  feedback tied  to a
         criterion and a short opportunity to revise. Finally ask for a specific reflection: which idea

         changed? What did the tool provide? And what did you decide?
         Write  a  clear  rule  for  AI  use.  State  what  is  permitted,  what  is  not,  and  what  must  be
         disclosed. If the tool is a required part of the activity, provide a means of access or an

         equivalent alternative, and make sure no sensitive content is requested.

         Review accessibility. Are the instructions clear? Is there a text version of the media? Can the
         activity be carried out on a phone or without a subscription? Are the examples varied? Are
         there suitable options for demonstrating learning? Do not add every possible alternative;

         focus on the barriers most likely in your audience.

         Define only three indicators for the first trial: the quality of the evidence of learning, the time
         to carry it out, and the amount of rework or help required. Gather learners’ comments on

         where it helped and where it confused, then change one element in each cycle so that you
         know the effect of the change.



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