> I think the most important part of predictive design is personalization You can have personalisation a priori or a posteriori. You can have ML logic to adapt

> I think the most important part of predictive design is personalization You can have personalisation a priori or a posteriori. You can have ML logic to adapt to your user's interactions like yours, that is a posteriori approach. Or design and have predictions about the user's interaction/attention/memorability and concepts like this which is a priori approach. Now for personalisation, the concept lies on the data mining approach we are taking as A.I. architects. If you are designing creatives, you cannot have a posteriori approach. Therefore, it is reasonable to mine data, create the prediction models, enable of course personalisation in a higher level and then let the user define the personalisation filters (like Grammarly did with quantification of the text). For the mobile usage, the posteriori approach seems to work, as you say with boundless.ai and seems promising. And I like the terminology of AI co-designer.