Got an interesting finding with my AI agents - turns out context matters way more than I thought. When I programmed them with specific background stories, like being trained and raised in Japan, their performance noticeably improved. It's wild how much a simple narrative framing can reshape behavior. The agents became more coherent, made better decisions in relevant scenarios. Seems like giving them a 'lived experience' or cultural grounding actually helps with reasoning consistency. Worth experimenting if you're building agents - try adding detailed backstory context and watch how it shifts their output quality. Small tweak, surprisingly big impact.