Not every hard question is an analytics question. Some are conjectures, modelling claims, or proof sketches: you need many programmes of attack, a ledger of what was tried, and a refusal when the argument is not earned.
A chat model will still answer. That is the risk. Fluency is not a search. Solve keeps the tree as the record: axioms, reasoning, evaluating agents, children that inherit a forked copy. A run can be started, paused and stopped. The kernel will not QED an open Millennium conjecture.
This is a specialist product. If the actual problem is “what is happening in our data”, that is Stack. If you are not sure which kind of hardness you have, consulting is the cheaper first step.