Synthesis is more than summarization. It’s the AI equivalent of a detective assembling clues across scattered scenes. It means pulling threads from wildly different sources, weaving them into something coherent, insightful, and even novel. A truly synthetic AI doesn’t just know stuff — it knows how to combine things in ways that matter. This capability enables an agent to integrate information across domains, formats, and timelines — something humans often struggle with at scale. It connects concepts that might appear unrelated on the surface, linking technical documentation with market trends or financial reports with behavioral cues. From these fragmented inputs, synthesis allows agents to build coherent narratives that help people make sense of complex realities. It also gives rise to useful explanations — not just lists of facts, but interpretations. Synthesizing…