Karanbir enhanced the ContextualAI/examples repository by developing an improved Quick Start Notebook focused on feedback collection and usage metrics. Using Jupyter Notebook and Python, he introduced new code cells and Markdown explanations that guide users through the process of submitting feedback on agent responses and tracking usage data. This approach enables users and stakeholders to monitor agent performance and gather actionable insights for data-driven improvements. Karanbir’s work leveraged skills in API integration, data visualization, and notebook development, resulting in a more informative onboarding experience and providing a foundation for ongoing performance monitoring without addressing bug fixes during this period.