Stop Building AI Agents. You're Overengineering Everything.

Stop Building AI Agents. You're Overengineering Everything. There. I said it. Every week we get a new LinkedIn post from a startup CTO: "We built an AI agent that autonomously handles our entire customer support pipeline!" And the comments go wild. But when you dig into the code? It's a glorified if-statement wrapped in 40 layers of LangChain abstractions. At Gerus-lab , we've shipped 14+ products — and we've made this exact mistake ourselves. Let me tell you what we learned the hard way. The Agent Hype Cycle Is Real (And Dangerous) Look at the numbers: in early 2026, roughly 1 in 5 dev.to articles mentions AI in some form . The term "AI agent" gets thrown around like it costs nothing. And maybe that's the problem — it does cost nothing to say it. But it costs a fortune to build and maintain it. In 2025, enterprise AI systems failed at an alarming rate. A significant chunk of those failures? Overengineered pipelines where a deterministic workflow would have done 90% of the job cheaper,