diff --git a/docs/getting_started/main.md b/docs/getting_started/main.md
index 719adbae..aad86cd8 100644
--- a/docs/getting_started/main.md
+++ b/docs/getting_started/main.md
@@ -54,18 +54,64 @@ training, and deploying models at every scale on any AI infrastructure.
+### Read a Little More
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+Want a more in depth introduction to ClearML? Choose where you want to get started:
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+ -
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+ Data Scientists
+ Learn how to use ClearML's experiment tracking and management tools, and more!
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+ START HERE
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+ MLOps and LLMOps Engineers
+ Learn how to use ClearML's automation, orchestration, and tracking tools
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+ START HERE
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+ DevOps Engineers
+ Learn how to deploy and configure a ClearML Server
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+ START HERE
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## What Can You Do with ClearML?
- [Track and upload](../fundamentals/task.md) metrics and models with only 2 lines of code
-- [Reproduce](../webapp/webapp_exp_reproducing.md) tasks with 3 mouse clicks or 3 lines of code
+- [Reproduce](../webapp/webapp_exp_reproducing.md) tasks with 3 mouse clicks
- [Create bots](../guides/services/slack_alerts.md) that send you Slack messages based on task behavior (for example,
alert you whenever your model improves in accuracy)
- Manage your [data](../clearml_data/clearml_data.md) - store, track, and version control
- Remotely execute tasks on any compute resource you have available with [ClearML Agent](../clearml_agent.md)
- Automatically scale cloud instances according to your resource needs with ClearML's
- [AWS Autoscaler](../webapp/applications/apps_aws_autoscaler.md) and [GCP Autoscaler](../webapp/applications/apps_gcp_autoscaler.md)
- GUI applications
+[AWS Autoscaler](../webapp/applications/apps_aws_autoscaler.md) and [GCP Autoscaler](../webapp/applications/apps_gcp_autoscaler.md)
+GUI applications
- Run [hyperparameter optimization](../hpo.md)
- Build [pipelines](../pipelines/pipelines.md) from code
- Much more!
@@ -73,3 +119,7 @@ alert you whenever your model improves in accuracy)


+## Who We Are
+ClearML is supported by you :heart: and the [clear.ml](https://clear.ml) team, which helps enterprise companies build scalable MLOps/LLMOps.
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+Join the ClearML community! Your contributions, questions, and input are always welcome. For more information, see [Community Resources](../community.md).