Are you personally working at "maximum AI efficiency"?

Given the current environment, it seems there's hardly any room for "comfort" in our careers, especially in big tech companies. My company is pretty heavy on AI for internal use (our product is not AI-focused), and I think it's understandable in terms of the productivity gains we're seeing. I'd estimate 95%+ of my code now is written by Claude, which I'm more or less aligned with. But I still tend to provide implementation details for Claude to actually work off of. I find it makes it easier for me to understand and review. I understand the code that Claude writes quite deeply and it helps me prescribe much better decisions for future work. However, I feel I'm not working at the "cutting edge" – I'm not doing things like running 5+ agents at a time, playing a "managerial" role and treating individual agent instances as "employees". I see it being possible, but at the same time I just don't *care* to reach that level of AI-efficiency. It seems like a major mental tax to work like that with the level of context-switching required, but I do feel like it's *possible*. I think psychologically, I don't feel comfortable moving too high up the stack, if I'm going to be responsible for what goes into the code. I'm going to have to read it and understand it anyway, so I'd rather stay a little lower to the ground so ingesting the output becomes more efficient. Thoughts? What are you guys doing?