In Figure 3, Information is separated from the CPU layer by a Peer layer. In the case that the Peer layer is simply algorithmic, then we have algorithms interacting directly with CPU's to produce a compression of the invariance of data into informational tokens. This sounds like data compression routines like Huffman, LZ and Rice. Using these routines, information can be organized to reflect relevant structured and algorithmic context, as well as to point to some aspects of unstructured context. The way information is used is thus subject, when appropriate, to the Acappella Innovation.

Unstructured information is most well know to us in the form of natural language. This fact is reflected in the formation of section / subsection / . . . / topic / question hierarchies by the Acappella software toolset. Linguistics and various assessment disciplines are also used to create a knowledge representation schema that is simply incomplete without the mental awareness of humans. It this sense, the Acappella Innovation is knowledge management without the limitations that are intrinsic to machine algorithms.