Worked on enhancing the AI Travel Agent and Text Summarizer projects within the intel/AI-PC-Samples repository by focusing on documentation and environment setup. Improved onboarding and usability by updating installation instructions for dependencies such as Conda and Git, and clarified configuration steps for end-users. Refined Jupyter Notebook configurations, including adjustments to Python versions and model loading parameters, to optimize performance and stability. Emphasized clear, maintainable documentation using Markdown and Python, laying the groundwork for more robust deployments. The work addressed common pain points in environment setup and dependency management, supporting smoother future iterations and more accessible usage for both developers and users.