The blog post presents a novel design idea for AI knowledge retrieval and reasoning, aiming to balance lower-cost data retrieval with higher-capability reasoning models. It proposes a structured approach where information is represented as identifiable objects with attributes, allowing for selective retrieval and reasoning. The author invites feedback from the community on related concepts and limitations of the approach.