We built something similar for our team at work. A human has to run it and review/skim for correctness, who quickly gets overwhelmed. The purpose eventually became an AI wiki for AI to use to spawn agents more efficiently (token wise), to pull in only modules it needs and fills in the blanks from the md files. Like a knowledge graph. It has become useful for production support, design, feature dev, domain specific learnings. We also found it makes a huge difference which model you use to encode and which model you use to decode.
It's surreal that we (media, govt, public, AI companies) are in awe of how dangerous a model can be how much it can misbehave. We seem to be measuring AI on how much harm it can do rather than how much good it can do.
That's pretty cool. I envisage HTML will replace ppt, word, project management decks etc. HTML is interactive, holds and organises content well, and multiple groups can be self guided in exploring the data and contents. The engineer can explore the how, the customer can explore the what, the marketer can explore the why.
A very positive spin. I fear that AI will be a tool for the rich and a toy for the richer. It will sadly divide the people Geographically (rich countries affording data centres and nationalised models) and poorer countries missing out. It will divide socio-economically, the rich affording tokens becomes the land/knowledge owners/hackers and the poor becomes the labourers.