Spot on. The term "AI agent" has turned into a massive marketing buzzword lately, but at the end of the day, it's really just about building reliable software automation that can handle unpredictable inputs.
The main hurdle isn't getting a model to run a tool loop in a demo. It's dealing with state management, retries, latency, and keeping the system deterministic enough for production use. Most companies don't actually need a fully autonomous agent wandering around their systems. They just need targeted LLM workflows with solid guardrails and clean backend integrations.
If you're moving past the toy phase and actually trying to ship these workflows to production, finding engineers who know both traditional backend architecture and LLM integration is key.
Focusing on the problem solved rather than the hype label is definitely the right way to look at it.