Worked on the pydantic-ai repository to enhance the clarity and accuracy of technical documentation, specifically addressing the usage example for the main function in the graph.md file. Applied expertise in Python and Markdown to correct the command-line argument handling and main invocation pattern, ensuring that users and contributors can follow the correct process when running examples. This targeted documentation fix reduced the risk of misusage and streamlined onboarding for new developers, while also minimizing potential support overhead. The work maintained documentation integrity through concise, auditable changes, reflecting a careful and detail-oriented approach to improving developer experience and technical communication.