#4, Part 2 – Knowledge Graph Engineering: Mental Models & War Stories

The podcast explores the evolution of Math Academy's knowledge graph, focusing on strategies for optimizing its effectiveness and managing complexity. The hosts discuss the concept of "knowledge points," breaking down topics into smaller, manageable steps to avoid cognitive overload for students. They highlight the importance of data-driven decision-making, using analytics to identify areas where students struggle and adjusting the knowledge graph accordingly. The conversation also covers the development of internal tools, like the "KnifeSwitch," to streamline content updates and prevent disruptions. The speakers share anecdotes about early challenges, such as dealing with graph cycles and deploying code, illustrating the iterative process of building a robust educational platform.