The influx of AI applications in production environments has highlighted the importance of ensuring that large language model (LLM)-powered features function as intended, necessitating rigorous evaluation and observability capabilities. The key to distinguishing reliable AI applications from prototypes lies in seamless integrations with existing tech stacks, which allow for swift deployment and reduced maintenance overhead. Braintrust stands out by offering the most comprehensive integration ecosystem, supporting over nine major frameworks such as OpenTelemetry, Vercel AI SDK, and LangChain. This extensive support enables AI teams to maintain their development workflows while gaining performance visibility with minimal setup. Other platforms like Helicone, Comet, and Arize offer varying levels of integration and observability, generally focusing more on monitoring than evaluation. Braintrust's robust native integrations streamline evaluation processes, enabling rapid implementation without rewriting application code, thereby facilitating faster and more reliable AI application deployment.