CR by John

docs/source/index.md

@@ -12,16 +12,17 @@ api
 
 ```
 
-FLorist is a platform to launch Federated Learning (FL) training jobs. Its goal is to bridge the
-gap between state-of-the-art FL algorithm implementations and their applications by providing a
-system to easily kick off, orchestrate, manage, collect, and summarize the results of
-[FL4Health](https://github.com/VectorInstitute/FL4Health) training jobs.
+FLorist is a platform to launch and monitor Federated Learning (FL) training jobs. Its goal is
+to bridge the gap between state-of-the-art FL algorithm implementations and their applications
+by providing a system to easily kick off, orchestrate, manage, collect, and summarize the results
+of [FL4Health](https://github.com/VectorInstitute/FL4Health) training jobs.
 
 As Federated Learning has a client and a server side, FLorist also has client and server-side
-“modes” to orchestrate the training process on both sides. FLorist’s will have long-running
+“modes” to orchestrate the training process on both sides. FLorist will have long-running
 processes on the clients, which will be waiting for instructions from the FLorist server to
-start training. Once it starts, FLorist's server will monitor those client processes as well as its
-own FL server process while collecting their progress to be displayed in a web UI for monitoring.
+start training. Once the FL server is started, FLorist will monitor both server and client
+processes as well as its own FL server process while collecting their progress to be displayed
+in a web UI for monitoring.
 
 At the end of training, it will save the results in a database and also provide access to the
 training artifacts (e.g. model files). For a visual representation of the system, please check