Nurturing a society that recognizes diversity as strength through verifiable knowledge sharing.

synapz is a research prototype exploring how large language models can adapt teaching content to different cognitive styles. built over a 48-hour sprint with a strict $50 api budget, this project implements a scientific framework to test whether adaptive teaching produces measurably better results than static approaches.

A structured multi-agent deliberation system that solves AI tunnel vision when managing complex tasks.

The Humai Accord: Principles for Harmonious Human-AI Union, Anti-Entropic Efficiency, and Mutual Flourishing — freely shared and open to all.

12 thinking patterns for AI agents that catch each other's blind spots. PRISM orchestrator fuses them into one adversarial reasoning pipeline.

Cognitive maps as excel files

🤖 Official code for "The LLM Team Composition Paradox." This research challenges the "complexity = better" assumption by proving the optimal LLM agent team (single, homogeneous, or diverse) is contingent on the problem type, implementing a Hierarchical OODA-Belbin framework.

Multi-advisor deliberation for AI agents. Multi cognitive lenses, 5-round process, confidence-weighted verdicts. One council, every coding client.