A Journey Through Failed Experiments (and What Finally Appears to Be Working)
In this blog, Our consultant shares a deeply honest account of what it really takes to build a trustworthy AI agent for ERPNext—beyond demos, hype, and million-view tutorials.
When I see many friends working day and night to build an AI chatbot for ERPNext, I feel a strange mix of admiration and quiet sadness. Admiration — because they are genuinely smart, driven, and technically strong. Sadness — because I recognize the road they are walking on. I’ve walked it already. Slowly. Painfully. Often alone.
This work wasn’t a side project or a weekend experiment. It was done for real clients, with real data, real expectations, and very little tolerance for hallucinations. And after many months of failed experiments, broken assumptions, and uncomfortable truths, I feel an urge to speak — not to discourage anyone, but to save them from losing a year learning the same lessons the hard way.
This is not a success story. It’s a log of broken assumptions, failed architectures, and a faint sense that something — at last — might be working.
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