This source introduces a conceptual AI periodic table designed to organize complex artificial intelligence terminology into a structured, understandable framework. It categorizes various technologies into five functional groups, such as retrieval and validation, and four levels of complexity ranging from atomic primitives to emerging innovations. By treating components like large language models, embeddings, and prompts as chemical elements, the guide demonstrates how these parts react to form sophisticated systems. This organizational method helps users decode modern AI architectures, whether they are analyzing autonomous agents or retrieval-augmented generation workflows. Ultimately, the table serves as a visual tool for identifying the essential building blocks and missing pieces within any given AI product or pitch.