The strategy of “Prediction” in education is a fairly well-known technique in which students are asked to make informed predictions to a certain question/questions pertaining to the lesson of the day, before the lesson starts. This motivates students to engage with the material from the very beginning, and think about the “bigger picture” of what they are about to learn. It has also been shown to improve memory retention of content, in part, due to increased engagement. We will look at how “prediction” can be enhanced with the use of ChatGPT and SRES. The focus will be on learning how to prompt ChatGPT to create rich short stories based on either real-life scenarios that students would face in their field, popular media, or historical events. The personalisation feature of SRES will be used to make the students the protagonists of the story, so that they feel more connected and engaged to it. The story would ultimately involve one or more problems that the students would need to solve through prediction of some of the key take-aways of the day’s lesson. We will end by looking at how this activity can be transformed into a form of authentic assessment, especially suitable for an AI-dominated learning environment!