diff --git a/docs/guides/clearml_agent/reproduce_exp.md b/docs/guides/clearml_agent/reproduce_exp.md
new file mode 100644
index 00000000..36697b63
--- /dev/null
+++ b/docs/guides/clearml_agent/reproduce_exp.md
@@ -0,0 +1,41 @@
+---
+title: Recreating Experiment Environments 
+---
+
+<div class="vid" >
+<iframe style={{position: 'absolute', top: '0', left: '0', bottom: '0', right: '0', width: '100%', height: '100%'}} 
+        src="https://www.youtube.com/embed/WTVrchczD34?si=2mZoMi4QdGl4MnUe" 
+        title="YouTube video player" 
+        frameborder="0" 
+        allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; fullscreen" 
+        allowfullscreen>
+</iframe>
+</div>
+
+<br/>
+
+Sometimes, you may need to recreate your experiment environment on a different machine, but you haven't committed your 
+code.
+
+ClearML logs everything needed to reproduce your experiment and its environment (uncommitted changes, used packages, and 
+more), making it easy to  reproduce your experiment's execution environment using ClearML.
+
+You can reproduce the execution environment of any experiment you’ve run with ClearML on any workload:
+
+1. Go to the experiment page of the task you want to reproduce in the [ClearML WebApp](../../webapp/webapp_overview.md), 
+   :::tip
+   Use the UI's [filtering and sorting](../../webapp/webapp_exp_table.md#filtering-columns) to find the best performing experiments  
+   ::: 
+1. Copy the desired experiment's ID
+1. Use the ClearML Agent's [`build`](../../clearml_agent/clearml_agent_ref.md#build) command to rebuild the experiment's
+   execution environment. Input the experiment's ID and the target local folder, where the environment will be created: 
+
+   ```commandline
+   clearml-agent build --id <task_id> --target <target_folder>
+   ```
+   After running this command, the target folder will contain that task's original code with uncommitted changes applied, 
+   as well as a complete recreated virtual environment 
+2. Activate the virtual environment using the activation script. Once done, you'll find all of your environment's packages 
+   already installed in the environment 
+
+And that's it! Your experiment's environment and your code has been reproduced! 
\ No newline at end of file
diff --git a/sidebars.js b/sidebars.js
index 5a55ed91..78f47f90 100644
--- a/sidebars.js
+++ b/sidebars.js
@@ -143,7 +143,7 @@ module.exports = {
             {'Advanced': ['guides/advanced/execute_remotely', 'guides/advanced/multiple_tasks_single_process']},
             {'Automation': ['guides/automation/manual_random_param_search_example', 'guides/automation/task_piping']},
             {'ClearML Task': ['guides/clearml-task/clearml_task_tutorial']},
-            {'ClearML Agent': ['guides/clearml_agent/executable_exp_containers', 'guides/clearml_agent/exp_environment_containers']},
+            {'ClearML Agent': ['guides/clearml_agent/executable_exp_containers', 'guides/clearml_agent/exp_environment_containers', 'guides/clearml_agent/reproduce_exp']},
             {'Datasets': ['clearml_data/data_management_examples/data_man_cifar_classification', 'clearml_data/data_management_examples/data_man_python']},
             {'Distributed': ['guides/distributed/distributed_pytorch_example', 'guides/distributed/subprocess_example']},
             {'Docker': ['guides/docker/extra_docker_shell_script']},