Prompts need the same discipline as production code
A prompt that works in a sandbox often breaks when real users phrase questions differently. Teams end up rewriting the same instructions in Slack because nobody tracked what changed or why quality dropped.
We version prompts, test them against real questions, and review changes before they ship. Your team gets templates and a process, not a black box only one developer understands.
Search your documents, not the whole internet
When AI should answer from your manuals, policies, or support history, how documents are split and indexed matters more than which model you pick. We structure content so production questions do not pull finance paragraphs into a support answer, or vice versa.
We have done this for manufacturers, marketplaces, and B2B tools. The pattern is the same: organise your source material first, then connect the model to the right slice of it.
Test before and after launch
We build a set of 50 to 200 test questions with expected answers or grading rules. Every prompt change runs against that set. After launch, wrong answers from real usage get added so quality improves instead of drifting.