Thanks for the feedback... right now we are only using extracted text (and some DOM data) for ML. We aren't using the images for any ML work because, as you likely suspect, that's pretty hard to do in a meaningful way.

We aren't surfacing the per page scores at the moment... most of the ML work was done specifically for this content piece, so we haven't adjusted our core presentation to include it (including the flag grading system which we use to build the training model), other than simply listing stand-out examples at the top of the site.

For our customers, we likely will need to build industry/use-specific models. (Amazon is already sort of doing this by providing pharm-specific text classifiers.) Use cases are so disparate at the moment that it's hard to build a general model for everyone.

As for the cross-domain errors, grrr! Thanks, we will look into it... hard to troubleshoot those. Our API stack consists of CloudFormation -> API Gateway -> API Gateway Caching -> Lambda -> DynamoDB... (edit AKA who knows where those errors are! haha)

(And more detail on the problem you are having w/ image diff slider would be appreciated... feel free to email us directly from email at bottom of site. Not sure I understand this issue you're having.)

(edit feel free to email me w/ error details at peter (at) deepdiveduck . com ... the cross-domain scripting errors are a constant thorn in our sides so we'd like to get any other info you have on 'em)