Developed the Lovable Platform Cookbook for Observability and AI Evaluation within the braintrustdata/braintrust-cookbook repository, focusing on making observability and AI evaluation practices accessible to non-technical users. The work involved creating comprehensive documentation and reusable frameworks that guide users through logging, running evaluations, and troubleshooting AI applications. Leveraging TypeScript and Deno in a full stack context, the developer emphasized clear, collaborative documentation and commit-based workflows. This cookbook standardizes observability and evaluation processes across Braintrust projects, streamlining onboarding and reducing time-to-value for new deployments while improving troubleshooting efficiency for both technical and non-technical stakeholders.