Mengying developed the Lovable Platform Cookbook for Observability and AI Evaluation in the braintrustdata/braintrust-cookbook repository, focusing on making AI evaluation and observability practices accessible to non-technical users. She designed a reusable framework that standardizes how Braintrust integrates logging, runs evaluations, and troubleshoots AI applications. Using TypeScript and Deno within a full stack context, Mengying emphasized clear documentation and collaborative workflows, co-authoring detailed guides that accelerate onboarding and reduce troubleshooting time. Her work addressed the need for consistent, end-to-end references, improving deployment workflows and supporting non-technical builders in understanding and maintaining AI observability across Braintrust projects.