Scaling Agent Systems: When More Agents Help and When They Hurt | 15th Dec 2025
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A Scientific Framework for Designing High-Performance AI Agents
In this episode of the Colaberry AI Podcast, we dive into a rigorous new research framework that finally brings scientific clarity to scaling AI agent systems. As language-model-based agents become central to planning, reasoning, and action, a key question has remained unresolved: When do multi-agent systems actually outperform single agents—and when do they fail?
The study presents a controlled empirical evaluation of five canonical agent architectures, including a Single-Agent System (SAS) and four Multi-Agent…
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