The podcast examine the burgeoning field of AI agents, particularly those powered by Large Language Models (LLMs). One paper critiques current agent benchmarks, highlighting issues with reproducibility, standardization, and cost considerations, advocating for improved evaluation metrics beyond simple accuracy. Another paper champions the potential of generative and agentic AI to create "living software systems," arguing that these AI-driven systems can overcome the limitations of traditional, static software by acting as universal translators between human intent and computational actions. A final paper focuses on the design and implementation of vertical AI agents, proposing a standardized architecture with core modules for memory, reasoning, cognitive skills, and tools, and exploring various agent categories and applications across different industries.