Author(s): Alexandru Rotari
Originally published on Towards AI.
A practical guide for the people actually trying to make AI work inside real operations
At some point you will produce LLM output that looks perfect. You will feel good about it. Then you will try to use it and nothing will work.
The fields are there. The structure is clean. The values are plausible. But somewhere between the LLM and the system that needs to consume it, something does not match. A data type. A missing field. A value that is technically correct and contextually wrong.
