This monologue podcast provides a tutorial on building a basic AI agent using Python and the OpenAI API. The speaker guides listeners through the process of creating an agent based on the REACT pattern (Reasoning, Acting, and Observation), explaining the roles of the Large Language Model (LLM) and the surrounding code ("runtime"). The tutorial includes building a class for the agent, implementing the REACT loop, and automating the process with a loop and regular expressions to parse the LLM's responses. A specific example using a function to calculate average dog weights demonstrates the agent's functionality. Listeners learn how to create a functional AI agent from scratch, progressing from a manual process to an automated one.
