Ongoing efforts focus on developing a workflow to enrich existing data and automatically curate novel and previously unreported natural products from newly published scientific literature. We envision developing an online literature monitoring system that can identify new publications reporting new natural product structures or new findings on known compounds using a specialised classifier. Such publications will be processed using a semi-automated literature extraction workflow. Users will also have the ability to upload natural product-related publications, which will be automatically scanned to check for any unrecorded structures. Such a system could employ fine-tuned Large Language Models (LLM) to accurately extract natural product structures and related metadata from a diverse range of relevant literature.