Developed comprehensive integration documentation for the Weave-W&B workflow within the wandb/docs repository, focusing on onboarding and observability for users connecting Weave with Weights & Biases. The work included a detailed setup guide covering installation and auto-initialization, along with practical examples that demonstrate tracing LLM workflows and monitoring AI model execution. Leveraging Markdown and Python, the documentation aimed to streamline the integration process, clarify usage patterns, and reduce the support burden by addressing common onboarding challenges. The technical writing emphasized clarity and actionable guidance, supporting users in tracking LLM calls and custom functions to enhance debugging and model transparency.