What Jupyter (regardless of its kernel: Ansible, Python etc...) does is just adding a GUI interface on top of an existing REPL console you mentioned. For example, you already have a working iPython REPL console, you don't really need the heavy Jupyter system to run scientific Python codes.
If you prefer to use the REPL consoles directly for your own propose then Jupyter will add no value on it. However, Jupyter let you save results for each commands without running them again, and you can add Markdown documentations. This is useful when you want document your codes (with results) and share them with others.
Jupyter is merely a productivity tool like an IDE, not a framework. Jupyter may not be suitable for running production codes anyway.