Lately, I’ve been experimenting with AI agents for task automation things like scheduling, sending emails, updating databases, or even managing customer requests. It’s wild how much they can do, but also kinda tricky.
The biggest headache I’ve noticed: AI agents can misinterpret instructions, get stuck in loops, or fail when the input data isn’t perfectly formatted. Even when you think you’ve told it clearly what to do, small errors in prompts or context can cause unexpected results.
It got me thinking about how dependent we are on structured data and precise instructions when using AI agents, without that, the “automation” feels fragile and stressful.