I think we’ve been asking the wrong question about AI agents. During the OpenClaw Summer Builder Bootcamp, one challenge really stuck with me: most AI agents never make it past the demo stage. I've built a lot of agents and honestly I have seen it myself. Cool demo, nice architecture, technically impressive… then nobody uses it. The hard part isn’t making an agent autonomous. It’s making something people actually care enough to use. That’s what pushed me to build Sage. @sagepaysai takes a real product, explores it like a first-time user, figures out what needs testing, creates the missions, verifies the work, and pays testers in USDC when it’s done. The loop is simple: product needs testing → Sage creates missions → humans do the work → Sage verifies it → testers get paid → the result is recorded on-chain. That’s the standard I care about now. Don’t ask, “Can the agent do it?” Ask, “Does anyone actually want it to?” That’s the difference between an AI demo and a product.