Even after reading this doc [1], I am not clear on who is the target audience and what are you trying to solve? It would be helpful to take a real world example and translate how easy /efficient it would be to do this via RAMA.
The first is our Twitter-scale Mastodon implementation, which is 100x less code than Twitter wrote to build the equivalent at scale (just the consumer product). It's also more than 40% less code than Mastodon's official implementation (which isn't scalable). https://github.com/redplanetlabs/twitter-scale-mastodon
The rama-demo-gallery repo also contains many short, self-contained, thoroughly commented examples of applying Rama towards very different use cases. These include user profile management, time-series analytics, atomic and fault-tolerant bank transfers, and more. https://github.com/redplanetlabs/rama-demo-gallery
Mastodon is extremely similar to the consumer Twitter product, and "Twitter-scale" is a known number that we tested well beyond. Among other things, we verified our timeline delivery latency was at least as good as Twitter's number ad that it scaled linearly.
[1] https://redplanetlabs.com/docs/~/why-use-rama.html#gsc.tab=0