I think the first half of the article showing how this works with a given sample distribution is pretty good. I don't think it's really doing much to build intuition at the end, though.

It's also worth pointing out that there are distributions for which the central limit theorem doesn't hold (e.g. the sum of samples from a Lorentzian distribution will again be Lorentzian, not Gaussian.)