Artificial Intelligence development has become dramatically easier over the past two years.
You can connect an LLM through an API in minutes. You can generate embeddings instantly. You can build chat interfaces quickly. You can deploy AI prototypes without massive infrastructure.
And that’s exactly why many teams underestimate how difficult production AI actually is.
The hardest part of AI engineering isn’t building a demo.
It’s building a system that remains reliable, scalable, observable, secure, and cost-efficient after thousands of users start interacting with it.
