In this podcast episode, we unravel the ramifications of employing large language models like ChatGPT to bolster qualitative research. Orchestrated through a ‘Yesterday, Today, and Tomorrow’ lens, we delve into the complex mechanics of LLMs, underscore the imperative for transparency, and explore the necessity for robust evaluative frameworks to assess the quality of generated output. Highlighting the principle of augmentation over automation in research methodologies, the dialogue cultivates a perspective of embracing technological advancements as a means to enrich the tapestry of qualitative research.