I’m interested in how Bidlight’s geometry classifier handles complex or irregular shapes. Specifically, how does the AI differentiate between simple and intricate geometries, and what criteria does it use to accurately classify these shapes? Additionally, what processes or algorithms ensure that these unique geometries are consistently matched to the correct price items, ensuring accurate cost estimations even for unconventional or complex design elements? This helps in understanding the AI’s capability to adapt to diverse design challenges.