Anyone else feel like AI agents are amazing right up until things get complicated?

Every week I see people saying autonomous agents are about to replace entire teams, but my experience using them has been way less dramatic. For structured tasks? They’re incredible. I can automate reporting, build internal workflows, connect tools together, scrape information, generate responses, and save hours of repetitive work faster than ever before. But the second a workflow becomes unpredictable, things start falling apart. An agent misses one dependency. A tool returns data in a weird format. A browser tab freezes. A page layout changes slightly. Suddenly the automation either loops forever or confidently says the task is complete when it clearly isn’t. What surprised me most is that the bottleneck doesn’t even seem to be “intelligence” anymore. It’s consistency. Keeping long-running workflows stable in messy environments feels way harder than getting good outputs from prompts. That’s why I’m starting to think the near-term future of AI at work probably looks more like: \- specialized systems handling repetitive processes \- humans supervising decisions and exceptions \- agents assisting teams instead of replacing them \- reliable narrow automations beating “general AI employees” The most valuable automations I’ve personally seen are honestly the boring ones: lead qualification, scheduling, ticket routing, CRM updates, internal ops stuff, etc. Not autonomous agents independently running projects from start to finish. Feels like there’s still a massive gap between impressive demos and dependable real-world execution. Curious if others working with AI agents feel the same, or if you’ve actually seen systems that can operate reliably at a larger scale.