Developed and delivered a Copilot Instruction Framework for the Azure/telescope repository, focusing on enhancing AI-assisted workflows within the project. The work centered on documenting ADO pipelines, scenarios, steps, and modules used for benchmarking Kubernetes performance, providing AI agents with detailed context to better interpret project structure and objectives. Leveraging skills in AI integration, cloud computing, and Kubernetes, the developer used Markdown to create comprehensive documentation that links agent instructions directly to performance evaluation workflows. This approach supports faster onboarding, more consistent agent interactions, and improved reliability in automated testing, laying a foundation for scalable AI-driven development processes in Telescope.