Worked on enhancing the usability and discoverability of Loopy Agents within the cognizant-ai-lab/neuro-san-studio repository by delivering comprehensive documentation updates and practical usage examples. Focused on clarifying the operational modes of NeuroSAN agents, the work introduced detailed guidance on continuous looping versus triggered execution, along with an example application demonstrating asynchronous interaction through a separate service. Leveraging Markdown and technical writing skills, the documentation improvements aimed to streamline onboarding for developers and operators. This documentation-driven approach addressed real-world usage scenarios and supported the business goal of scalable agent orchestration, laying a foundation for more efficient adoption and integration.