diff --git a/readme.md b/readme.md
index 476b275..5522b7e 100644
--- a/readme.md
+++ b/readme.md
@@ -9,10 +9,12 @@ several queries and measure how long it takes for results to come back to your l
    Drive Shared Drive replicated locally, you can do it like this:
 
 ```commandline
-pip install "git+file:///g:\shared drives\data drive\90 useful\10 query_performance_gauge@master"```
+pip install "file:///g:\shared drives\data drive\90 useful\10 query_performance_gauge"
 ```
 
-If not, you simply need to clone the repo somewhere in your machine and replace the path in the previous command.
+You will install whatever version is in the shared drive at that point. Depending on what you want to achieve, you 
+might want to instead make a copy of the repository in your own local machine and install from there. That way, you 
+won't be affected by someone making `git checkout` in the shared drive.
 
 2. Afterwards, you need to make a config file. See below details on how to compose one.
 
@@ -26,7 +28,7 @@ measure_query_performance --config my_config_file.json
    quick and easy hack is to redirect output in Powershell to a file. You can do it like this:
 
 ```commandline
-measure_query_performance --config my_config_file.json | Out-File - FilePath my_results.txt
+measure_query_performance --config my_config_file.json | Out-File -FilePath my_results.txt
 ```
 
 ## Composing a config file
@@ -48,6 +50,8 @@ A few notes:
 ## A few more details
 
 - Queries are run sequentially, as in the second query will only start after the first query is finished.
+- The script will run all queries, even if there is an exception when running one or more of them. If one query 
+  fails, the error traceback will be printed so you can debug and the script will move on to the next query.
 - For this to work, your local machine must have access and permission to the connection you are targeting, so
   remember to set up VPNs and other necessary configs properly.
 - A peculiarity: when using MySQL through an SSH tunnel, the port number used by the remote MySQL should be