Question about the layer between Ontology and action
Palantir gives AI a governed representation of operational reality through the Ontology, then provides logic, models, agents, tools, actions, and Evals around that reality.
What I’m trying to understand is whether Palantir has a general reasoning architecture that governs how the AI interprets that operational reality before deciding when and how to act, rather than leaving that reasoning largely to application-specific prompts, logic, tools, and evaluators.
Put differently: is there a reusable layer that determines whether the system has identified the right problem, governing constraint, decision risk, and justified first move before intervention?
I’m asking because I’ve developed a framework specifically for that layer and I’m trying to determine whether I’m identifying a genuine gap in the current architecture or simply missing something Palantir already has.
Curious how people here would think about that.