This is the problem building "it does everything" machines.

If you are pitching that your service can do potentially "whatever the client wants" you have such a thin basis on which to provide contracts and guarantees as a provider. The narrower the function, the clearer you can be about what's supposed to happen and why things might have gone wrong.

When you're using probabilities as the fundamental approach to computation, all of that goes out the window. Nondeterminism is powerful because it's insanely flexible, but the cost of that flexibility is predictability and expectation. Determinism was humanity's primary choice for formalisms and technology precisely because it reduces complex problems and situations to repeatable mechanics that are easy to understand. Deterministic tools can't do a lot in the grand scheme of things, but it is precisely these limitations that make them work well in concert and keep them comprehensible.