Bridging the Gap Between AI Builders and Domain Experts

Everyone is racing to build one agent that can do everything. Justin Schroeder, co-founder of Standard Agents, thinks the future looks more like thousands of tiny ones. Ahead of his talk on domain-specific agents at AGNTCon + MCPCon North America, he explains why tightly scoped agents might be the smarter bet, even if it feels like a step back toward the single-purpose machine learning models of a few years ago. We dig into standards as metadata you pin to an agent, so that it shows up with everything it needs in its harness. Then we test the idea against the obvious objection: if a big model