Here’s something me and Og are prototyping:
You can see the words in the movie, ordered by ‘global’ frequency (frequency in the languge, not the movie). You can click the words to see the subs with that word, mark the words etc.
Next step is to add additional examples from http://tatoeba.org/ and Youtube videos. I tried FluentU the other day and noticed they had this feature already. Our projects have a lot in common actually.
Next step is to show the ‘global’ frequency lists in the cards app: https://cards.dioco.io/ (not implemented yet). When you click a word in the list, you will see examples in a seperate panel.
The step after that is to change the way the flashcards work, so that they are not even really flashcards anymore, but show you examples many sentences with words you are trying to learn. I would like to turn away from the idea of learning lists of words and their translations, and rather use the words in the list as ways to organise and index example sentences, which are the real source of learning. I think this will kind of serve your idea about verbs and their different forms, especially if we add some special logic for verbs.
The holy grail is something I refer to as ‘FACE PUMP’. This is where the user visits a site, and we, uh, pump video (maybe audio too?) content into their face that is appropriately selected, based not only on vocabulary, but also integrating some knowledge of tenses, grammatical structures etc. (perhaps some kind of machine learning, combined with our existing grammatical info, will make this feasible). A kind of special TV channel. There are still lots of questions and work to get to that point.