diff --git a/argilla/docs/index.md b/argilla/docs/index.md
index f9187704e4..c7e674c67a 100644
--- a/argilla/docs/index.md
+++ b/argilla/docs/index.md
@@ -26,11 +26,11 @@ Argilla is a **collaboration platform for AI engineers and domain experts** that
 
     [:octicons-arrow-right-24: Quickstart](getting_started/quickstart.md)
 
--  __Educational guides__
+-  __How-to guides__
 
     ---
 
-    Get familiar with basic and complex workflows for Argilla. From managing `Users`, `Workspaces`. `Datasets` and `Records` to fine-tuning a model.
+    Get familiar with basic and complex workflows for Argilla. Learn how to managing `Users`, `Workspaces`, `Datasets`, and `Records` to set up your data annotation projects.
 
     [:octicons-arrow-right-24: Learn more](how_to_guides/index.md)
 
@@ -70,4 +70,4 @@ AI teams from companies like [the Red Cross](https://510.global/), [Loris.ai](ht
 
 - AI for good: [the Red Cross presentation](https://youtu.be/ZsCqrAhzkFU?feature=shared) showcases **how their experts and AI team collaborate** by classifying and redirecting requests from refugees of the Ukrainian crisis to streamline the support processes of the Red Cross.
 - Customer support: during [the Loris meetup](https://youtu.be/jWrtgf2w4VU?feature=shared) they showed how their AI team uses unsupervised and few-shot contrastive learning to help them **quickly validate and gain labelled samples for a huge amount of multi-label classifiers**.
-- Research studies: [the showcase from Prolific](https://youtu.be/ePDlhIxnuAs?feature=shared) announced their integration with our platform. They use it to actively **distribute data collection projects** among their annotating workforce. This allows them to quickly and **efficiently collect high-quality data** for their research studies.
\ No newline at end of file
+- Research studies: [the showcase from Prolific](https://youtu.be/ePDlhIxnuAs?feature=shared) announced their integration with our platform. They use it to actively **distribute data collection projects** among their annotating workforce. This allows them to quickly and **efficiently collect high-quality data** for their research studies.