A pre-registered field experiment with 776 Procter & Gamble professionals found that individuals using AI matched the performance of two-person teams, broke down functional silos between R&D and Commercial roles, …
This paper presents a multi-agent AI architecture that achieves 92.1% reliability by organizing specialized AI agents into teams with opposing roles and hierarchical oversight, similar to corporate organizational …
GEPA introduces a novel prompt optimization approach that uses natural language reflection and Pareto-based evolutionary search to optimize compound AI systems, achieving superior performance compared to reinforcement …
