Project 1 — Recall & Memorisation

Memorisation as Path-Finding

Recall is modelled as graph traversal. Nodes represent concepts. Edges are the relationships that allow a retrieval path to form. Dense interconnection improves retrieval speed and resilience.

Visual and logical encoding outperforms rote repetition. The system encourages repeated activation of neighbouring nodes to strengthen memory pathways while highlighting weak or unused connections that decay.

Nodes = concepts Edges = relationships Recall = activating neighbours Forgetting = weakened connections

Project 2 — Logic Gates & SaaS Memory Systems

Logic as Cognitive Routing

Inspired by flowcharts and decision trees, this project treats logic gates (AND, OR, NOT) as cognitive filters. They route memory pathways, determine retrieval rules, and enable programmable recall.

The long-term vision is a SaaS platform where users build memory systems using logic primitives. Learning becomes programmable. This site lays the conceptual groundwork for that future direction.

Logic gates as filters Decision-tree inspired Future SaaS platform