Most AI projects fail because they’re built as demos, not systems. Build for reliability, latency, fallbacks, and guardrails.

If you don’t measure model behavior in production, you’re shipping a guess.

Most teams adopt microservices before they’ve earned the complexity. Learn when a monolith is the faster, safer bet.

Kubernetes solves problems you don’t have at 0 users. Start simple and migrate only when the signals are real.