This blog post discusses the implementation of AI guardrails using Node.js and Llama Stack, focusing on safety mechanisms in large language models (LLMs). It covers built-in guardrails like LlamaGuard and PromptGuard, provides code examples for setting up a Llama Stack instance, and describes how to register and use guardrails effectively to prevent harmful outputs from LLMs. The author shares insights from their experiments, demonstrating how these mechanisms can save GPU time and improve the handling of inappropriate requests.