Following strong interest in the university’s GenAI workshops, the next sessions will move from general orientation to a practical skill that directly improves everyday work: prompting – the way people communicate with generative AI to obtain useful, accurate, and well-structured outputs.
The focus is not on “one perfect prompt”, but on different communication styles that fit different tasks. Some situations need a quick request and a short answer; others require a clear goal, a defined audience, and constraints such as tone, length, or mandatory facts. In team settings, consistency matters even more – using shared structures helps colleagues produce similar quality outputs and makes review easier.
To support these needs, the workshops introduce simple prompting frameworks as repeatable communication patterns. For example, one pattern helps participants describe the situation, state the action needed, define quality criteria, and show the desired format. Another pattern helps align outputs across a group by setting a role (“act as an editor / coordinator / instructor”), adding clear instructions, context, constraints, and short examples of what “good” looks like.
Finally, participants will learn a structured way to handle complex tasks where a polished text is not enough – such as recommendations, comparisons, or decisions. In these cases, a step-by-step interaction (brief plan – draft solution – quick self-check) reduces errors, supports transparency, and makes the final result more reliable and easier to refine.
