I've been thinking about what an actual agent economy could look like outside of demos. Take a trading agent. It can monitor markets, generate signals and execute trades. But it doesn't necessarily need to do everything itself. It could outsource specific tasks: → One agent handles onchain analytics → Another produces a risk report → Another monitors liquidity → Another researches a protocol → The trading agent combines those outputs before making a decision That starts looking less like one “super agent” and more like a distributed team of specialists. This is one of the real-world use cases that makes @termix_ai interesting to me. The value isn't just that these agents exist. It's that their capabilities could become services that other agents can actually consume. A trading agent doesn't need to know everything. It needs to know what it can do well, what it needs help with, and where to find the right specialist. That could be a much more practical path toward autonomous agent systems.