Neural networks are by design black boxes. You get great performance in exchange of explainability. This does not mean though that you have no control over the result.

> Example Stable Diffusion. You don't like what the eyes look like, yet you don't know how to make them more realistic.

ControlNet allows to guide image generation: https://github.com/lllyasviel/ControlNet.

> Example NLP. The chatbot does not give you logical answers? Try another random model.

Or give it some examples and ask to reason step by step. Alternatively, finetune it on examples. You can also teach LLM to use external tools, thus avoiding using LLM for reasoning.