production agents don't break because they're dumb. they break because nobody manages the entropy

after a few months running agents in production, I keep coming back to something nobody actually says. it's rarely the reasoning that breaks. the model is fine. the logic is fine. what fails is everything underneath it. stale sessions, conflicting memory, half-finished tasks from three days ago, an expired token, plus everything else that can go wrong 😂 demos work because they start clean. production doesn't. I mean think about it; just a few weeks in and you already have stale context beating out fresh input, retries that compound the error instead of fixing it, browser state nobody tracked, users changing things mid-workflow. Me personally, one time i spent weeks thinking it was a problem with a model but it wasn't. it was just state management the whole time. the fix isn't a smarter LLM, it's a better way to handle what accumulates when the agent runs unattended for days. what have y'all found?