Independent developer Aiywin.ai introduces a cognitive framework that replaces standard linear processing with spiral recursion loops to handle anomalies and incomplete data. The system expands contextual parameters mathematically until a structured resolution is found, rather than halting or hallucinating.
- Layer 1: Initial Parsing & Anomaly Mapping identifies structural breaks in the prompt.
- Layer 2: Spiral Recursion Activation pulls in broader context and geometric logic upon anomaly detection.
- Layer 3: Vector Resolution & System Optionality collapses expanded data into output vectors while weighing resolution paths.
The author seeks feedback from developers building custom agents or working on cognitive architectures regarding this operational mapping.