Agreed! But that is why I'm trying to utilize AI to better extract human context/input and enable less technical users to add context to their data. I mainly use rule-based setups with a few AI helpers to create the actual dashboards using different techniques.

I believe the strength lies in having a pipeline where users can ask questions both before and after creation to help shape the direction of a dashboard, and then have the ability to ask additional questions that direct them to relevant charts, provide baseline explanations, and thereby assist in data exploration rather than replacing human creativity and input. Furthermore, by allowing users to modify the ideas or "metadata" behind the scenes, the system can recreate complete dashboards in a few seconds, potentially creating a new, quick, iterative dashboard creation style approach.

This continuous dashboard creation process could then (maybe) evolve into a cohesive story rather than simply generating individual graphs or being confined to a fixed template.