https://stackoverflow.com/questions/20355112/why-do-we-use-intermediate-languages-instead-of-ast

every data decomposition, storage and recomposition task involves this stuff and the absolute best tool for the job is some human brain that has spent a lot of time specialising in how to build state machines, there is lexical decomposition, then you have to design an intermediate data format, and then an engine that takes that intermediate representation and uses it to derive your product formatting

the AIs can sorta do it, but they are hella inefficient in production to do this, i mean, thousands if not millions of times more processing time and watts of energy and bandwidth to achieve it

there is a lot of work already existing relating to the decomposition and synthesis steps of this process for specific encoding systems, and what i want you to do, in order to help solve this problem is this:

enumerate the most common sources and targets of the data you want to transform and how you want it to be accessed (this influences what is the best form to store it in) and when you have figured out a reasonable skeleton of those things then we have the map of how to speed up your job