[nr378]

> 3. Storing it the way this article presents makes it usable for agents, but not humans. Whereas the point of knowledge graph, ontology, etc is to create the same layer for both humans and AI to interact with

If storing it this way makes it usable for agents, then why don't humans just use agents when they need to interact with it?

[condwanaland]

Let's say that you want to know who your largest customer is, both by order value and volume. I could either: 1. Prompt my agent and deal with writing the prompt, waiting for the agent to sift through all the data (which would be massive), and pay the token costs, all of which has to be repeated everytime I want to answer this question, OR

2. I check my ontology for the answer, probably in a dashboard, and it takes 5 seconds. I have a link I can freely share around my enterprise and I haven't spent token costs.

Whats more, when I have sent my agent out to some tasks (go find out what revenue we're leaving on the table by not selling spot contracts to our biggest customers) my ontology gives me a few bits of data to validate the agents work against. For humans and AI to work together, they need the same context layer