Infoconex AI Flywheel Research

This section contains supporting research used to compare the AI Flywheel with established ideas, frameworks, and prior art. It supports the specification but is not part of the specification itself.
The research is organized in two ways: by AI Flywheel principle and by related framework.
Table of Contents
- Principle Research Dossiers — Examines prior art, history, evidence gaps, and possible differences one AI Flywheel principle at a time.
- Framework and Prior-Art Research — Contains the prior-art overview, framework comparison matrix, and detailed research for each related framework.
Research Standard
Comparisons in this section should be treated as working conclusions until they are checked against primary sources. The goal is not to claim that every part of the AI Flywheel is new. The goal is to understand which ideas are already established, which combinations may be meaningful, and where the methodology may be different.
For the Infoconex AI Flywheel methodology itself, see the Infoconex AI Flywheel Specification.