Gave it a try for a language I know (Spanish) and one I don't (Russian).
On Russian, the explanations of why some answers were correct/incorrect didn't load (presumably an AI call failed?). Especially at lower layers, a good fallback would be a simple dictionary definition.
On Spanish, I did the placement test, then it asked which "dialect" I wanted. I selected Mexican, and was treated with truly excellent renderings of European pronunciation. I wouldn't have been mad if all it had was one set of pronunciation, and it's more frustrating to see the ignored option than to never have it at all.
As for the placement test: I got dropped into lesson 2 for Spanish. For comparison, I placed into Lesson 5 in Russian, where I actually got more incorrect answers. The Spanish placement test wasn't very deep, and I knew all the answers. It told me I got two wrong, so either the test is wrong or I just got punchy and hit the wrong buttons.
Recommendation: scale back on the ambition. Focus on getting the educational and product experience right with languages you know first. Be honest about data provenance and limitations.
On Russian, the explanations of why some answers were correct/incorrect didn't load (presumably an AI call failed?). Especially at lower layers, a good fallback would be a simple dictionary definition.
On Spanish, I did the placement test, then it asked which "dialect" I wanted. I selected Mexican, and was treated with truly excellent renderings of European pronunciation. I wouldn't have been mad if all it had was one set of pronunciation, and it's more frustrating to see the ignored option than to never have it at all.
As for the placement test: I got dropped into lesson 2 for Spanish. For comparison, I placed into Lesson 5 in Russian, where I actually got more incorrect answers. The Spanish placement test wasn't very deep, and I knew all the answers. It told me I got two wrong, so either the test is wrong or I just got punchy and hit the wrong buttons.
Recommendation: scale back on the ambition. Focus on getting the educational and product experience right with languages you know first. Be honest about data provenance and limitations.