[reasonableklout]

Cursor and others have a subagent feature, which sounds like what you wanted. However, there has to be some decision making around how to divide up a prompt into tasks. This is decided by the (parent) model currently.

The best-of-N feature is a bit like rolling N dice instead of one. But it can be quite useful if you use different models with different strengths and weaknesses (e.g. Claude/GPT-5/Gemini), rather than assigning all to N instances of Claude, for example. I like to use this feature in ask mode when diving into a codebase, to get an explanation a few different ways.