The text discusses the use of a library called Rigging to build and test AI-powered applications, particularly in the context of artificial intelligence security. The author, Ads Dawson, shares their experience with leveraging agents, crafting exploits, and mining the hidden gems of AI security using Rigging. They provide a step-by-step guide on how to build a bare-bones Rigging agent to tackle AI hacking challenges on Crucible's platform, which includes exploring real-world LLM applications and testing attack surfaces. The author highlights the flexibility and extensibility of Rigging, its ability to integrate with various libraries and tools, and its focus on higher-level abstractions like pipelines and tools. They also demonstrate how to use Rigging in a simple chat example, showcasing its ease of use and versatility. Additionally, they discuss the importance of tracing and logging in AI systems, using Pydantic's Logfire for seamless web view integration, and provide examples of how to use Rigging to extract flags from chatbots. The text concludes with Ads' plans to continue exploring Rigging and other AI-related topics, sharing their content on LinkedIn, GitHub, and other platforms.