Building AI Agents That Actually Ship to Production
Lessons from taking AI agents beyond demos and into a real enterprise ERP handling live purchase orders and techpacks.
Most AI agent demos fall apart the moment they meet real data. Here is what it actually took to get agents automating measurement charts, purchase orders, and techpack generation reliably inside a production Garments ERP.
Start with the boring parts
Before any LLM call happens, the agent needs clean tool definitions, strict input validation, and a fallback path for when the model is uncertain. Most of the reliability comes from the plumbing, not the prompt.
Guardrails over cleverness
Retrieval-Augmented Generation helped ground responses in real internal documents instead of the model guessing. Combined with tight function-calling schemas, this cut hallucinated actions to near zero.