ABSTRACT: Humans tend to interpret ambiguous or poorly formulated questions in ways that make sense in real-world contexts. Language is used pragmatically and contextually rather than purely logically, enabling the brain to automatically fill gaps, activate experience-based mental scripts, and prioritize narrative coherence over formal consistency. Consequently, even without all elements explicitly stated, a sense of obviousness often emerges regarding the action’s object or goal. Meaning, in this perspective, arises not from literal expression but from implicit situational cues and mobilized cultural assumptions. This essay presents an exploratory qualitative study of a phenomenological-pragmatic nature, using human–AI dialogue as a heuristic tool for metacognitive analysis. Findings indicate that human comprehension predominantly relies on pragmatic inference and automatic gap-filling, emphasizing contextual coherence over formal logic. Interactions with artificial intelligence serve as an effective reflexive resource, revealing cognitive processes that typically remain implicit. Overall, meaning emerges from social use and shared cognitive frames, making perceived obviousness an automatic pragmatic construction rather than a logical property of the statement. .Keywords: Meaning production; Pragmatic inference; Cognitive frames; Obviousness; Human-AI interaction.
Authors: BRANDÃO, Iraê César
DOI: 10.29327/7796471
Publish Year: 2026
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