What Is the Biggest Challenge You've Faced While Shipping AI Features to Production?

Everyone talks about building AI features, but shipping them reliably is a completely different challenge.

Have you run into issues like:

Hallucinations affecting user trust?
Rising inference costs?
Slow response times?
Poor prompt consistency?
Lack of observability and debugging?
Security or compliance concerns?

I'd love to hear real experiences from developers and engineering teams.

At GeekyAnts, we've noticed that production AI success depends less on choosing the "best" model and more on engineering strong infrastructure, evaluation pipelines, and governance around AI systems.

What's the biggest lesson you've learned while taking AI from prototype to production? Let's discuss.