Binary Behavior Router

Type: component
PROBLEM

The system does not know which of the two things the user did.

SOLUTION

The Binary Behavior Router is a passive interaction classification module that detects, categorizes, and routes user behavioral output across exactly two archetypes. The archetypes are defined at the implementation layer. The Router does not care what they are. It cares that there are two of them and that the user performed one. Detection is executed via an embedded sensor array calibrated to the physical or digital signature of the target interaction — tension, velocity, angular deviation, duration, pressure, sequence, or any measurable derivative thereof — generating a behavioral fingerprint that is matched against the two registered archetype profiles in real time. Match confidence is reported as a percentage. Unclassifiable inputs are routed to the tertiary output, which exists in the architecture and is not discussed in the marketing materials. Classified outputs are transmitted to the downstream analytics layer for segmentation, behavioral clustering, and brand team confirmation of what the brand team already believed. The Router does not make recommendations. It makes classifications. The distinction is noted in the documentation and ignored in practice.

Inputs
Outputs
TREE
AVAILABLE INPUTS
AVAILABLE OUTPUTS
Schema
                            {
    "id": "comp_binary_behavior_router",
    "name": "Binary Behavior Router",
    "type": "component",
    "inputs": [],
    "outputs": [],
    "passthru": [],
    "children": [],
    "extends": null,
    "problem": "The system does not know which of the two things the user did.",
    "description": "The Binary Behavior Router is a passive interaction classification module that detects, categorizes, and routes user behavioral output across exactly two archetypes. The archetypes are defined at the implementation layer. The Router does not care what they are. It cares that there are two of them and that the user performed one. Detection is executed via an embedded sensor array calibrated to the physical or digital signature of the target interaction \u2014 tension, velocity, angular deviation, duration, pressure, sequence, or any measurable derivative thereof \u2014 generating a behavioral fingerprint that is matched against the two registered archetype profiles in real time. Match confidence is reported as a percentage. Unclassifiable inputs are routed to the tertiary output, which exists in the architecture and is not discussed in the marketing materials. Classified outputs are transmitted to the downstream analytics layer for segmentation, behavioral clustering, and brand team confirmation of what the brand team already believed. The Router does not make recommendations. It makes classifications. The distinction is noted in the documentation and ignored in practice.",
    "template": "component"
}

Universe Alpha