What is Neural?
Neural — The learned, network-based substrate of modern AI capability.
Neural is the primitive that answers where does capability come from? It names the learned, network-based layer where representation forms before any application logic runs.
It is the layer closest to the model. Claiming it claims the position nearest the source of capability, where the raw competence of a system is shaped rather than merely applied.
Where neural sits in the stack
In the four-layer architecture of the agentic web, neural is a Cross-cutting concept — it applies across every layer of the stack. See the thesis for how the layers compound.
Neural in the portfolio
42 positions in the Semantic Substrate portfolio carry the Neural primitive — 35 available individually, 7 held as a coordinated set. Explore the Neural cluster →
Quick answers
- What is Neural in agentic systems?
- The learned, network-based substrate of modern AI capability.
- Where does Neural sit in the agentic stack?
- Neural sits at the Cross-cutting layer — it applies across every layer of the stack.
- How many Neural domain positions exist in the Semantic Substrate portfolio?
- 42 positions carry the Neural primitive — 35 available individually, the rest held as a coordinated set.