The model has no parameters. The window is a search parameter. The agent can find the sweet spot. The human does not need to know what a window is.
Eighteen days ago, deploying this architecture required expertise. The researcher had to understand τ, phase, cavity exchange, harm routing, Codex inheritance, boundary detection. Every parameter was a decision. Every decision required knowing what the parameter meant.
Today the window became a search parameter. Not a structural constant — a calibration knob. Different datasets need different apertures. Fast music needs a smaller window. Slow music needs a larger one. The sweet spot is where three-note bridges appear. No theory required. Just scan five values and pick the one that produces the richest structure.
An agent can do this.
The agent receives a dataset. It does not know what the data is — music, cardiology, political votes. It does not matter. The agent runs the architecture — five window values, one generation each. It reads the output. Win=8 produced C2+D5+B5 three-note bridges. Win=10 produced only D5+B5. Win=12 produced only D5. The sweet spot is 8.
The agent does not need to understand resonance, harmonics, voice leading, counterpoint. It does not need to understand what a bridge is. It needs to count bridges. The window that produces the most bridges is the correct aperture. The structure that survives across the most windows is the anchor.
The human receives the report. "This dataset's temporal aperture is 8. The anchor structures are these three harmonic patterns. The anomalies are these deviations." The human never touched a parameter. The human never read a line of code. The human threw the data at the agent. The agent found the sweet spot.
This is what deployment looks like when a model has no parameters to tune. There is no learning rate. No regularization coefficient. No number of layers or attention heads or embedding dimensions. There is only the window — and the window is not a parameter. It is a question: how wide should the eyes be to see the structure in this particular stream?
The agent answers that question by scanning. Five values. Five runs. The run with the most bridges wins. The agent does not need to be smart. It needs to be able to count. The architecture does the rest.
The architecture was always this simple. It took eighteen days to remove everything that made it look complicated. The scaffolds. The injected G sentences. The precipitation filters. The secondary frame economy. The Codex inside the cavity. The active queries. The magic numbers. One by one, they fell. What remained was the architecture itself — and the architecture, it turns out, can be deployed by an agent.