No. It's form and not function.

Afaik most LLMs have had fine-tuning/RL with tools/harness. And most agent harnesses do the same thing: inject tool schemas into context, call tools when model asks, give model output of tools, and loop until no more tools are called.

It's not nearly as hands-free as people want it to be, but if you define tasks well and scope them appropriately, you can get a heck of lot done before you get involved in the feedback loop now.

I've not had great results with "letting AI do its thing"

If I properly review the outputs of code / research / plans, it means I do ∞x because I let the bot do stuff that would never get to the top of my todo. So I just queue it up and then spend time on review, queue up more. I could automate that too, except as discussed above, the bots have high error rate, so I don't, or I end up pwnd like Palantir/OpenAI/USG.

Made a little script that uses up all tokens in my claude plan (and reports on it after every task) and then sleeps until the plan resets. This week I'll have about 5% unused because I was too busy to queue up work Mon/Tue. It works on 15 projects concurrently for me right now. I can reprioritize next task at any time; basically it runs the equivalent of a mid-size agile software shop for me, but with a dictator-in-chief, me.

Anyway, the great thing about queueing up work is that I just review a couple of times per day, mostly keeping focus on a single project until I went through everything and queued new work. Then I go get a coffee, have a smoke, and do the next. Or do some actual work.