Worked on enhancing the data model for language model metadata in the Unique-AG/ai repository by updating the Language Model Information (LMI) JSON schema to support annotated string fields. This backend development effort, implemented in Python, focused on improving data integrity and processing efficiency by introducing stricter schema validation and reducing errors in metadata capture. The schema changes were reflected in a version bump of the unique_toolkit to 1.1.3, ensuring compatibility and stability for downstream analytics pipelines. The work emphasized robust schema design, enabling richer metadata representation and supporting more reliable analytics workflows without introducing new bugs during the development period.