Part 9/11:
Throughout this lengthy exploration, Shapiro demonstrates how foundational planning influences the success of an AI project. His main lesson: think data first. Without a solid data architecture, long-term memory, and scalable search, the rest of the AI system flounders.
He admits that many aspects remain untested and that many ideas are preliminary—true to his "hard way" approach. Yet, his methodical breakdown provides valuable insight into the intricacies of developing a system capable of functioning as an intelligent, self-improving entity.