This podcast outlines a proposal for a collaborative project aimed at developing a domain AI agent based on the IMDG Code ontology. The core problem addressed is the complexity and constant updates of the International Maritime Dangerous Goods (IMDG) Code, which makes manual compliance challenging and prone to errors. The proposed solution involves creating an ontology of the IMDG Code to enable an AI agent to automatically interpret regulations, check compliance, optimize cargo loading, and generate necessary documentation.