I was staring at a broken Next.js and Express backend integration late at night, convinced my AI agent had lost its mind. It was supposed to be a straightforward n8n automation pipeline. Yet, every time it ran, it hallucinated non-existent packages and dumped its context halfway through.
My System 1 intuitive reaction flared up immediately: The LLM just isn't smart enough. I sat there, exhausted, ready to rewrite the prompt for the twentieth time.
Engaging System 2
Taking a step back, I forced myself to engage my analytical System 2 brain. I wasn't dealing with a lack of model intelligence; I was dealing with a lack of infrastructure. I was running a massive, powerful AI model with zero guardrails. No persistent memory. No verification. Just dumping a giant Mongoose schema into a prompt and hoping for the best.
I was essentially dropping a Formula 1 engine onto a wooden skateboard and wondering why it crashed at the first turn.
