aadarshkumaredu

There’s a lot of momentum around agentic AI systems that can plan and execute multi-step workflows autonomously.

For teams that have tried deploying these in production environments, where do they actually break down?

Is it reliability over long action chains, tool integration issues, cost unpredictability, state management, latency, observability, or something else entirely?

I’m especially interested in failure modes that only became obvious after moving beyond controlled demos into real usage.