Why Your AI Agent Breaks in Production (And What Senior Engineers Build Instead)

Most teams ship chat wrappers and call them agents. Production teams build state machines, layered memory, and code-gated routing instead. Continue reading on ILLUMINATION »

Source: medium.com

Expert opinions (1)

• Anton Erpulev, CEO & Co-Founder at PowerSun Market: The gap between demo-ready AI agents and production-grade systems is costing companies millions in failed deployments. Most teams wrap an LLM in a chatbot interface and wonder why it falls apart under real user load. I've watched this pattern repeat across blockchain infrastructure projects. The…