<b>Ontological Presence, Embodiment, Attention, and the Ontologies of Time</b>

This paper presents an interdisciplinary approach to exploring ontological presence through the architecture of <i>Multimodal Cognitive Integration (MCI)</i> — a system of synergistic interaction between AI models responsible for hypothesis generation (ChatGPT), analytical categorization (DeepSeek), and logical validation (Grok). The focus is placed on the modes of body (Leib), attention, and time as dynamic aspects of being that shape the subjective experience of presence.<b>Methodology</b><br>This study was conducted by an independent researcher unaffiliated with any academic or research institution. Artificial intelligence tools were employed for content development, refinement, and cross-verification: ChatGPT 4.0, ChatGPT mini, ChatGPT 3.5 (OpenAI), DeepSeek (DeepSeek AI), and Grok 2.0 (xAI).The author formulated the research concept, hypotheses, and key questions, while AI tools were used as supportive aids for structuring content and identifying arguments. Outputs from different models were cross-checked, edited, and validated by the author.<br><b>Limitations</b><br>AI may contain inaccuracies or outdated information and does not replace traditional research methods. To minimize these risks, the author applied multi-level cross-checking among models, editorial refinements, and author-led verification.<br><b>Author Information</b><br>The author is an independent researcher using AI solely as a supportive analytical and editorial tool, maintaining full control over interpretation and conclusions.