a framework for evaluating the authenticity of human-authored content in the age of generative AI. The framework emphasizes the importance of analyzing the origin story of the written work, including the author's motivation, cognitive process, and prior knowledge. It proposes tests for originality, focusing on the thesis statement, thesis defense, and writing style, and utilizes a weighted scoring system to determine the level of authenticity. The framework also introduces the concept of a "writing fingerprint" derived from an author's past work to further identify their unique style and differentiate between human and AI-generated content. This approach aims to provide a nuanced and adaptive tool for accurately assessing the origins of written work in the ever-evolving landscape of generative AI.