Since the emergence of the concept of “digital humanities,” “knowledge” has consistently remained one of its central concerns. Methodologies represented by computational criticism promise not only to generate knowledge about literary texts but also, based on technical principles, to provide knowledge about the tools employed-thereby demanding the explainability of such tools. However, strict requirements for explainability can limit the range of technical tools available for practical use and also entail conceptual difficulties, particularly in the face of challenges posed by contemporary artificial intelligence technologies. The explanatory strategy of computational poetics, through approaches such as algorithmic auditing and black-boxing, can construct situational knowledge of technical tools in specific use cases without requiring knowledge of their underlying technical principles. The articulation of different forms of situational knowledge gives rise to a new form of generality: knowledge of human experience when operating a category of technical tools. Although this form of knowledge differs from the commitment made by current computational criticism in terms of epistemic shape, it aligns with the same objective, highlighting the dimension of the “human” within the digital technological condition.