Could multi-model workflows become the default way people use AI?

The more I use AI, the less confident I feel relying on a single model for important tasks.

Different models often give completely different reasoning while sounding equally confident, which makes verification difficult.

Because of that, I recently started experimenting with asknestr to compare multiple model outputs together and identify where the disagreements are.

It doesn’t magically solve hallucinations, but it does make inconsistencies much easier to notice early.

Now I’m wondering if future AI workflows will naturally move toward multi-model comparison instead of single-model interaction.

Do you think this is where AI usage is heading, or just a temporary workaround until models improve?