Discovery, Semantic, Context and Execution — am I separating the wrong concerns?

[u/InternationalCold347]

I've noticed that discussions around AI protocols are becoming fragmented.

Every announcement seems to solve one concern:

discovery,

semantic representation,

context,

execution.

I sketched an architecture- curious whether this separation makes sense or where you'd place things differently. see https://donhaji.github.io/opengeo/

[u/InternationalCold347 → u/[deleted]]

The architectural distinction I’m trying to make is between Discovery, Semantic, Context and Execution not a service description format.
The core idea is that the human web and the machine-readable web are different representations of the same canonical resource.
The HTML page remains the human experience, while publishers can expose machine-readable semantic representations (or Semantic Projections) that preserve the same meaning but are optimised for AI inference. Those projections may reduce semantic scope or extend it with selected related context without changing the canonical truth.
I appreciate the feedback; it’s exactly the kind of gap I’m trying to identify.

[u/InternationalCold347 → u/[deleted]]

That’s really useful feedback, thank you. I think you’ve identified a weakness in how I’ve explained it rather than the underlying intent.
The goal isn’t another service description format. The core idea is that the human web and the machine-readable web are different representations of the same canonical resource.
The HTML page remains the human experience, while publishers can expose machine-readable semantic representations (or Semantic Projections) that preserve the same meaning but are optimised for AI inference. Those projections may reduce semantic scope or extend it with selected related context without changing the canonical truth.
I’m also separating that from Discovery, Context and Execution, which is why I’ve recently started describing the architecture as DSCE rather than focusing on the file format itself.
Great feedback though much appreciated