I think people underestimate how much “state” matters once agents leave the demo stage

In demos, agents look incredibly smart because every run starts fresh: clean context clean browser state clean memory clean inputs production is the opposite lol after a few days you suddenly have: * half-completed tasks * stale sessions * conflicting memory * retries from old runs * browser tabs in weird states * users changing things mid-workflow and now the agent has to operate inside accumulated chaos I had a workflow recently where the logic itself was completely fine, but one expired session caused the agent to misread a page, which then polluted memory, which then affected later decisions for hours that’s when I realized: a lot of “reasoning failures” are actually state management failures the agents that seem reliable usually aren’t smarter. they just operate in cleaner environments with tighter state control honestly this is where most tutorials completely fall apart. they show prompts and orchestration diagrams but skip: * state recovery * retries * cleanup * isolation between runs * validation after actions which is basically the entire hard part lol I ran into this heavily with browser workflows too. moving toward more controlled browser layers and experimenting with setups like Browser Use and hyperbrowser helped a lot because state became way more predictable between runs starting to feel like production agents are less about intelligence and more about managing entropy over time