Your AI Isn't Broken. Your Architecture Is.

Everyone blames hallucination. I've started blaming the design.

I work on a fintech banking platform — Java, Spring Boot, microservices. When a payment fails, we don't shrug and say "the network is probabilistic." We trace it. We find the exact hop where something went wrong. We fix it.

But when an LLM-powered feature fails, the default reaction is usually: "yeah, AI hallucinates sometimes."

And after going through a structured ML cohort over the last few weeks, I think I finally understand why.

The model is working fine. The pipeline isn't.