Most teams default to fine-tuning too early or too late — a decision framework based on data volume, latency needs, and total cost of ownership, not hype.
Retrieval-augmented generation demos well and fails quietly — a look at the specific failure modes that show up once real documents and real users hit the system.
A working demo and a production AI feature solve different problems entirely — here's the gap that kills most POCs and how to design around it from day one.
