Can someone help me buy in or understand the use case for AI Agents?

***Edit****: Before you read the post, just want to note that I'm not trying to put down AI agents by any means. I am just having a tough time understanding why I need to use one and feel like i'm missing something or not getting it.* I'm a software developer who uses LLMs quite often in my workflows. They are super valuable as a research/resource aggregator and help me learn and implement software/features twice as fast! But I also realize they have their limitations escpecially when I encounter situations where I feel like I'm fighting the AI because it has lost direction/hallucinates or it's context has become to complex. I see a lot of comments here (& on anthrophics website) asking people to use agents to tackle simpler workflows as they can accomplish a lot in those cases. But given that I know a decent amount about automation, I find it difficult to buy in to the use case for a AI Agent. If you're technical enough, wouldn't it be easier just accelerate my learning with LLMs and built automation tools myself to solve most problems rather than giving it to an AI Agent and hope it produces the right result? Even if I am building the agent for extenal use, I would still want to build it myself so I only use the AI where neccesary so as to not trust a blackbox when I'm handing it over to a client to use? I'm just having a difficult time accepting the lack of accountability or control when using an AI agent. I recognize that AI agents are twice as fast for your workflow, but how do you guys ensure that your fully understand what your agent is doing and verify the work? When I use a tool like ChatGPT, i use a top-down approach to research how to accomplish a task, and then a bottom-up approach with very granular instructions to build what I need faster. How would AI-agents fit into this, and would they actually be worth the effort?