Working offline and working in a distributed setting are two different properties.
OT can work very well offline - the client and server just buffer ops and you do reconciliation. Some OT algorithms experience O(n*m) performance when the client comes back online (n client ops, m server ops), though the constant is quite low, you can make the client do the work. But you can do better - a better designed text reconciliation system can do O(nlog(n) + mlog(m)) if I remember correctly - which is quite usable in real systems and very competitive with CRDTs.)
P2P is much harder. I've got a sketch for a system that would use OT in a P2P setting, but in many ways its a poor man's CRDT. That said, the downside of CRDTs is that they grow unbounded as you make more modifications. Which would work great for documents that are written then discarded (like a HN thread). But it would work much less well for long lived, frequently written documents (like a server status dashboard). You can fix that using fancy coordination algorithms, but if you're going down that path you're back to sketching out an overcomplicated OT system.
There's lots of fun space to explore there - but not enough actual useful systems being made for production use.