During February 2025, contributed to the ContextualAI/examples repository by enhancing the Quick Start Notebook to support feedback collection and usage metrics. Developed new Jupyter Notebook cells and detailed Markdown explanations to guide users through capturing feedback on agent responses and tracking telemetry data. Leveraged Python for API integration and data visualization, enabling users to monitor agent performance and gather actionable insights. This work improved onboarding demonstrations and provided stakeholders with measurable data to inform agent improvements. The feature focused on surfacing user interaction data, supporting data-driven decision-making, and increasing transparency into agent behavior for both new users and project stakeholders.