This poster will describe how I have been using ChatGPT to create the kinds of reading materials I have wanted to teach with since completing my CELTA more than twenty years ago.

CELTA training presents a clear and compelling model of a comprehensive reading lesson: an effective lead-in, purposeful pre-reading tasks, and meaningful post-reading extensions. While some commercial textbooks match this approach, they do so inconsistently. Adapting and supplementing such materials can help, but only to a point, and writing original passages from scratch is time-consuming, cognitively demanding, and carries pedagogical risks.

I will outline a practical workflow for prompting and working with ChatGPT to generate original reading passages tailored to specific teaching goals. This includes control over topic, length, language level, and language features—for example, I recently produced a 200-word CEFR A1 text on social media addiction that systematically recycles the first conditional. Excellent activities such as vocabulary pre-teaching and comprehension checking questions also form part of the teaching units that I’m enjoying being able to produce with minimal effort.

The poster maps the process through which I’m finding myself able to bring pedagogical intention and instructional material into alignment.