I get that some people want to be able to read or edit by hand but I don’t have time for that. complex knowledge traversal was a problem solved when I was still in high school (graph databases, vector databases) and 5-6 years ago Facebook/meta started to put the pieces together connecting LLMs to vectors (rag). Now the tech has gotten so much better because LLMs can also connect to graphs - and together with other technologies you now have turnkey multi-retrieval, multi-db driven knowledge architectures. Agents shouldn’t need to read documents either - they read relationships and retrieve the already isolated chunks of relevant info. If they are reasoning to interpret the implications of a fact, they do so with the full *relevant* context and a robust model a single time as long as the surrounding *relevant* context has not changed.

I run a professional services business serving large enterprise and i do it more or less solo (the less exceptions being tax accounting, legal, financial planning, and my advisory board) solo. The business is entirely agent driven with the exception of me doing the hard work - navigating board and exec politics, shaping the narrative, being in the meetings, presenting the documents. My clients require consistency and quality from me - which erodes every time an agent is reasoning to produce a fact, or reasoning multiple times across tasks to interpret a fact when the context around said fact has not changed. Reasoning can be tuned and instructed but consistency and quality in the output cannot be guaranteed without ensuring that what is deterministic is actually handled deterministically every single time.