Configurations bring everything together to start an experiment.
They specify the algorithm, a prompt and model if you want to auto generate nudges, groups
and start and end dates.
You can also specify metric type and decision time weights that are used for by the algorithm to calculate the
effectiveness of nudges.
Nudgee weights are related to configurations. These weights contain the weights for
each component value and user profile dimensions. Your nudge optimization algorithm can
use and update these weights to find the optimal nudge.
You can manually add configurations or use the API.