Large Language Models (LLMs) have rapidly become a pivotal technology across diverse disciplines. This study conducts a comprehensive analysis of LLM applications through the lens of three distinct use-case scenarios: Tutoring, Coding, and Journalism. Using subject-oriented process modeling, we compare and contrast these scenarios with and without LLM integration, allowing for a detailed examination of the ensuing changes. Our results show the contributions LLMs can make to these fields, while also acknowledging the potential risks associated with their deployment. Our findings anticipate a paradigm shift toward a synergy between human efforts and intelligent systems, which are poised to offer real-time assistance and uncover solutions that may remain elusive to human practitioners. The envisioned future not only suggests increased efficiency but also underscores the imperative of responsible LLM integration to prevent the generation of substandard content across various domains.