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This conference talk from PyCon US explores how to effectively build AI applications using Pydantic tools. Learn practical techniques for structuring LLM-powered systems through an opinionated blueprint for AI development in Python. Discover both PydanticAI, an open-source AI agent framework, and Pydantic Logfire, an observability platform for understanding and debugging AI applications. Gain insights into tracking and evaluating model behavior, integrating AI features into larger software projects, and applying familiar tools and proven patterns to AI development. The presentation emphasizes that AI development follows software development principles with some unique considerations, providing a clear, pragmatic foundation for writing AI-powered software in Python without reinventing engineering principles.
