NearSide Live Demo

Experience the NearSide inference engine in action. This demo shows how behavioral signals are collected, processed, and translated into adaptive UI traits.

ForEveryMind™ in Action

Watch the inference pipeline process behavioural signals in real time. Select a mode and see the entire demo adapt.

Active: Exploratory — Balanced defaults for open-ended browsing

Observer Layer

LIVE
Collecting signals...

Hypothesis Engine

ML
Cognitive Load35%
Confidence72%
Contributing signals:
dwellTimescrollVelocityclickHesitation
CognitiveLoadTransformer v1ONNX

Adapter Layer

DecisionSnapshot traits — driven by exploratory mode:

densitycomfortable
Balanced spacing for readability (exploratory mode)
disclosureLevelstandard
Standard level of detail (exploratory mode)
motionLevelreduced
Subtle animations only (exploratory mode)
cognitiveLoadResponsenone
No special adaptations needed (exploratory mode)
Density:comfortableDisclosure:standardMotion:reducedLoad Response:none

Behavioural Signal Collection

Passive observer layer captures interaction patterns.

Hypothesis Generation

ForEveryMind™ produces weighted cognitive state hypotheses.

Real-time Adaptation

CSS tokens and data attributes drive instant changes.

Transparent Explanation

Every adaptation carries a human-readable reason.