I don’t really understand agents. I just don’t get why we need to pretend we have multiple personalities, especially when they’re all using the same model. Can anyone please give me a usecase, that couldn’t be solved with a single API call to a modern LLM (capable of multi-step planning/reasoning) and a proper prompt? Or is this really just about building the prompt, and giving the LLM closer guidance by splitting in…
I don't get it either. Watching implementations on YouTube etc it primarily it feels like a load of verbiage trying to carve out a sub-industry, but the meat on the bone just seems to be defining discreet units of AI actions that can be chained into workflows that interact with non-ai services.
You got. But that is the interesting part! To make AI useful, beyond basic content generation in a chat context you need interaction with the outside world. And you may need iterative workflows that can spawn more work based on the output of those interactions. The focus on Agents as personas is a tangent to the core use case. We could just call this stuff "AI Workflow Orchestration" or something ... and it would remain pretty useful!