Wolfram Alpha is slow. Even if it's right, it's only good for knowledge questions out of its database - things like public figures ("how many children does bara

Wolfram Alpha is slow. Even if it's right, it's only good for knowledge questions out of its database - things like public figures ("how many children does barak obama have"), physical statistics ("what is the melting point of tungsten"), and so on work fine. However, topical ("what about aluminium?"), temporal ("what's the weather?"), and location-based ("show me restaurants nearby") are outside of scope for wolfram alpha entirely - so a given app must aggregate. Why don't apps aggregate? The "can you handle this?" api endpoint is frequently returns false positives, and the proper API is really slow (multiple seconds) for negatives . If we get a false positive, or something hard to detect as a negative, that's the only answer we can show. And since a voice assistant is expected to return one answer quickly, this is straight out.