Beyond the API Wrapper: Building Defensible AI Apps

Most AI startups are thin wrappers over LLM APIs, which fail when providers release native features. To build defensible apps, developers should use RAG for context, route queries across multiple models, and run local LLMs for privacy. These patterns shift AI development from simple API calls to data pipelines and intelligent routing.