Tom O’Connor developed an AI-annotation workflow enhancement for the ministryofjustice/analytical-platform-airflow repository, focusing on streamlining AI model evaluation processes. He implemented a configurable Airflow LLM Evaluation Workflow Configuration, leveraging YAML for workflow definitions and DevOps practices to ensure consistent deployment and maintainability. The new workflow automates orchestration of model evaluations and notification delivery, reducing manual intervention and supporting auditable, faster evaluation cycles. Tom’s work emphasized code quality and collaboration, as seen in co-authored changes, and established a foundation for improved governance and decision-making. No major bugs were addressed, as the primary focus was on robust feature delivery and workflow management.