Every AI tool I’ve tried does the same thing with long-form content: summarize it. Compress a 2-hour podcast or 10,000-word essay into bullet points. But summaries lose the thing that makes ideas valuable - the connections between them, the reasoning chain, the context. What if instead of summarizing, we decomposed content into individual ideas (“essences”) that preserve their full context: what came before, what connects to what, the author’s actual reasoning structured across layers of depth? Think of it like the difference between a Wikipedia summary of a book vs having every key idea indexed and searchable with full context preserved. This seems especially important for AI agents because they don’t need summaries, they need precise ideas they can pull and reason about. A summary of an alignment essay is useless to an agent. But 30 individual decomposed ideas with full context? Now it can actually work with the material. Anyone else thinking about this problem? How do you handle giving AI access to deep content without losing the structure? submitted by /u/Hot_Original_966
Originally posted by u/Hot_Original_966 on r/ArtificialInteligence