This research investigates prompt engineering patterns that emerge in complex multi-agent systems. We explore how hierarchical composition, chain-of-thought scaffolding, and adaptive context management contribute to system intelligence.
Research Focus
We examine how structural patterns in prompting enable multi-agent systems to coordinate, reason, and adapt. Through controlled experiments, we identify recurring compositional strategies that scale with system complexity.