Sigilith is a structural intelligence framework designed to analyse stability, drift, contradiction and collapse in complex symbolic systems. I developed the framework, its computational methods and experimental validation approach, including applications to symbolic corpora and AI/ML stability analysis. The work combines structural modelling, measurable stability metrics and reproducible computational testing to identify patterns that conventional semantic analysis can miss.