This episode discuss Agent Bricks, a new Databricks product designed to simplify and automate the development of high-quality, domain-specific AI agents by handling evaluation and optimization. Agent Bricks aims to overcome challenges in agent development like difficult evaluation, complex "knobs," and cost-quality trade-offs, enabling faster deployment. The sources also mention DSPy 3.0, a programming framework for language models that allows for modular AI system creation and optimization, contrasting it with Agent Bricks by highlighting its open-source nature and deeper coding requirements. Finally, SuperNetiX, an upcoming agent framework powered by DSPy from Superagentic AI, is introduced as an alternative that offers more flexibility and is not tied to specific commercial platforms like Databricks.