The output of that many chained prompts is probably so unreliable that it's useless.
It's pretty effective on complex problems like Spam, Trust and Safety, etc. And the applications of these sort of reasoning atomic configurations I think are unlimited. It's not just 'talking fancy' to an AI, its building processes that systematically improve reasoning to different very hard applied problems.
But overall, hasn't that theme been true for like... all tech ever? You have to set up and build your own innovation path at some point.
They are limited to applications in which the latency slo is O(seconds), knowledge of 2021-present doesn’t matter, and you’re allowed to make things up when you don’t know the answer.
There are, to be fair, many such applications. But it’s not unlimited.
But in general many configurations are possible, but also you need to refine the personas a great deal to get it to work well.
Sure, so you ensemble some results. You're back to the classical "hyperparameter" problem though that's faced ML for a long time-- what those personas are, what those subsequent prompts are, etc. require a fair amount of manual verification and tuning. And the search space is extremely vast.
Not to mention that something like this is likely to be very unperformant.