Originally published on Medium . Let me start with a confession: I spent 6 months trying to master LangGraph, but my models were barely functional. I was stuck in an infinite loop of debugging and tweaking. My code was a mess, and I was about to give up. I remember the first time I tried to deploy my LangGraph model. It failed miserably. I was using Hugging Face transformers, but I was doing it all wrong. The Before: When Everything Technically Works But Nothing Really Does My model was technically working, but it was not producing any meaningful results. Here are a few things that were going wrong: My data was not properly preprocessed My model architecture was flawed I was not using the right LangChain tools The real reason it was broken was that I was trying to force a square peg into a round hole.…