Dragonfly Eye: A Practical Research Technology with AI

The article explores the 'Dragonfly Eye' methodology, designed for the structured use of artificial intelligence in research tasks. The author emphasizes that the primary mistake when working with AI is rushing into idea generation without proper preparation. Instead, a systematic approach is proposed: first, one must define subject worlds, normalize taxa, and identify the potential for cross-disciplinary knowledge transfer. The technology aims to enable researchers to effectively operate with entities from various fields—ranging from biology to economics—and find meaningful connections between them, avoiding superficial linguistic constructs. This article continues a series on how a solo researcher can use modern tools to create innovations, moving from chaotic searching to conscious knowledge synthesis. This approach allows not only for generating ideas but also for verifying their viability, stopping unpromising research directions in time.