LLM Integration Mistakes Startups Make (And How to Avoid Them)
Many startups successfully prototype AI features but struggle when it’s time to launch them reliably. From missing evaluation frameworks to poor cost planning and security oversights, common LLM integration mistakes can lead to production failures. In this article, we explore the five most critical mistakes engineering teams make—and the practical strategies to build scalable, secure, and production-ready AI applications from day one.