diff --git a/docs/clearml_agent.md b/docs/clearml_agent.md
index 9ce414f6..c12d127a 100644
--- a/docs/clearml_agent.md
+++ b/docs/clearml_agent.md
@@ -100,7 +100,8 @@ Install ClearML Agent as a system Python package and not in a Python virtual env
         Verifying credentials ...
         Credentials verified!
 
-1. Enter your Git username and password. Leave blank for SSH key authentication or when only using public repositories.<br/>
+1. Enter your Git username and password. Leave blank for SSH key authentication or when only using public repositories.
+   
    This is needed for cloning repositories by the agent.
 
         Enter git username for repository cloning (leave blank for SSH key authentication): []
@@ -110,7 +111,8 @@ Install ClearML Agent as a system Python package and not in a Python virtual env
     
         Git repository cloning will be using user=<username> password=<password>        
 
-1. Enter an additional artifact repository, or press **Enter** if not required.<br/>
+1. Enter an additional artifact repository, or press **Enter** if not required.
+   
    This is needed for installing Python packages not found in pypi. 
 
         Enter additional artifact repository (extra-index-url) to use when installing python packages (leave blank if not required):
@@ -580,7 +582,8 @@ It's possible to add the Docker container as the base Docker image to a Task (ex
 ## Google Colab
 
 ClearML Agent can run on a [google colab](https://colab.research.google.com/) instance. This helps users to leverage 
-compute resources provided by google colab and send experiments for execution on it. <br/>
+compute resources provided by google colab and send experiments for execution on it. 
+
 Check out [this](guides/ide/google_colab.md) tutorial on how to run a ClearML Agent on Google Colab!
 
 
diff --git a/docs/fundamentals/projects.md b/docs/fundamentals/projects.md
index 8f28b351..699cc5e6 100644
--- a/docs/fundamentals/projects.md
+++ b/docs/fundamentals/projects.md
@@ -19,7 +19,7 @@ the project are executed, the model checkpoints (snapshots) and artifacts are st
 ## WebApp 
 
 Users can create and modify projects, and see project details in the WebApp (see [WebApp Home](../webapp/webapp_home.md)). 
-The project's description can be edited in the [overview](../webapp/webapp_overview.md) page. Each project's experiments,  
+The project's description can be edited in the [overview](../webapp/webapp_overview.md) page. Each project's experiments,
 models, and dataviews, can be viewed in the project's [experiments table](../webapp/webapp_exp_table.md),
  [models table](../webapp/webapp_model_table.md), and [dataviews table](../hyperdatasets/webapp/webapp_dataviews.md). 
 
diff --git a/docs/guides/ide/google_colab.md b/docs/guides/ide/google_colab.md
index f7572f2e..c515dde1 100644
--- a/docs/guides/ide/google_colab.md
+++ b/docs/guides/ide/google_colab.md
@@ -3,7 +3,8 @@ title: ClearML Agent on Google Colab
 ---
 
 [Google Colab](https://colab.research.google.com) is a common development environment for data scientists. It offers a convenient IDE as well as
-compute provided by google.<br/>
+compute provided by google.
+
 Users can transform a Google Colab instance into an available resource in ClearML using [Clearml Agent](../../clearml_agent.md).
 
 In this tutorial, we will go over how to create a ClearML worker node in a Google Colab notebook. Once the worker is up 
diff --git a/docs/integrations/storage.md b/docs/integrations/storage.md
index 4996e7d8..6d6918f9 100644
--- a/docs/integrations/storage.md
+++ b/docs/integrations/storage.md
@@ -39,7 +39,7 @@ aws {
                 #     key: "my-access-key"
                 #     secret: "my-secret-key"
                 # },
-                # {
+                
             ]
         }
         boto3 {
@@ -51,6 +51,7 @@ aws {
 
 ClearML also supports [MinIO](https://github.com/minio/minio) by adding this configuration:
 ```
+                # {
                 #     host: "my-minio-host:9000"
                 #     key: "12345678"
                 #     secret: "12345678"
@@ -128,8 +129,10 @@ storage {
 ```
 
 ### Direct Access
-By default, all artifacts (Models \ Artifacts \ Datasets) are automatically downloaded to the cache before they're used.<br/>
-Some storage mediums (NFS \ Local storage) allows for direct access,
-which means that the code would work with the object where it's originally stored and not downloaded to cache first.<br/>
+By default, all artifacts (Models / Artifacts / Datasets) are automatically downloaded to the cache before they're used.
+
+Some storage mediums (NFS / Local storage) allows for direct access,
+which means that the code would work with the object where it's originally stored and not downloaded to cache first.
+
 To enable direct access, specify the urls to access directly.