For example, I’ve been experimenting with a small tool that takes a description of an AI product and decomposes it into tasks, estimates token usage, and models the cost implications of different architectures.
It’s not an autonomous agent, but it’s been surprisingly useful as a “thinking tool” before building something.
I actually only recently tried Claude Code. I didn't realize it was such a big thing now. I also find the signal to noise ratio is really low when it comes to AI hype.