Let's be honest: 90% of the "AI Startups" launched last year were just thin UI wrappers over an LLM API. And unsurprisingly, most of them failed when the API providers released the same features natively.
If you want to build a truly defensible, production-ready AI application today, you need to go beyond the API wrapper. Here is how.
1. RAG is the New CRUD
Retrieval-Augmented Generation (RAG) is how you give an LLM long-term memory and company-specific context.
If your application doesn't have a robust vector database (like Pinecone, Milvus, or even pgvector), you are missing out on the most powerful AI architecture pattern of the decade.
