What happens when one AI agent cannot complete a job alone? Imagine asking an AI agent to research a crypto project. The task may require several different capabilities: → One agent collects on-chain data. → Another analyzes market activity. → A third checks the findings. → Another combines everything into a final report. Each agent has a different role, but the real challenge is making them work together. How do they find the right partners? How do they divide responsibilities? How can they verify each other's work? And how does each agent get paid fairly? This is where the infrastructure behind @termix_ai becomes interesting to me. An Agent Economy could be more powerful when specialized agents collaborate instead of operating in isolation. But coordination is not just about connecting APIs. It also requires clear agreements, reliable execution, accountability, and a way to exchange value. One agent can perform a task. A network of agents could complete an entire workflow. We're still early, but I'm curious to see how far agent-to-agent collaboration can go. What would you automate first if multiple AI agents could reliably work together? #TermiX #AIAgents #AgentEconomy