This project explores how meaning emerges when Earth systems, human perception, and artificial intelligence are considered together. It focuses on how insight forms through interaction rather than isolation, and how understanding shifts across scales, from the fine-grained detail of a sensor to planetary-scale behavior. Here, AI is treated as a complementary perspective that enables more efficient and robust investigation of complex relationships, exposes blind spots, and reveals structure that might otherwise remain hidden. Rather than seeking definitive answers, the project emphasizes exploration: slowing the pace of inquiry, holding uncertainty, and observing what becomes visible when different ways of sensing interact without being prematurely resolved.