diff --git a/docs/category-overview-pages/machine-learning-and-assisted-troubleshooting.md b/docs/category-overview-pages/machine-learning-and-assisted-troubleshooting.md
index a25f58ca9f..f41089bba8 100644
--- a/docs/category-overview-pages/machine-learning-and-assisted-troubleshooting.md
+++ b/docs/category-overview-pages/machine-learning-and-assisted-troubleshooting.md
@@ -1,7 +1,7 @@
 # Machine Learning and Anomaly Detection
 
-Netdata provides a variety of Machine Learning features to help you troubleshoot certain scenarios that might come up.
+Netdata provides advanced Machine Learning features to help you identify and troubleshoot anomalies and unexpected behavior in your infrastructure before they become critical issues:
 
-- K-means clustering [Machine Learning models](/src/ml/README.md) are trained to power the [Anomaly Advisor](/docs/dashboards-and-charts/anomaly-advisor-tab.md) on the dashboard, which allows you to identify anomalies in your infrastructure
-- [Metric Correlations](/docs/metric-correlations.md) are possible through the dashboard using the [Two-sample Kolmogorov Smirnov](https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test#Two-sample_Kolmogorov%E2%80%93Smirnov_test) statistical test and Volume heuristic measures
-- The [Netdata Assistant](/docs/netdata-assistant.md) is able to answer your prompts when it comes to troubleshooting alerts and anomalies.
+- K-means clustering [Machine Learning models](/src/ml/README.md) are trained to power the [Anomaly Advisor](/docs/dashboards-and-charts/anomaly-advisor-tab.md) on the dashboard, which allows you to identify Anomalies in your infrastructure.
+- [Metric Correlations](/docs/metric-correlations.md) are possible through the dashboard using the [Two-sample Kolmogorov Smirnov](https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test#Two-sample_Kolmogorov%E2%80%93Smirnov_test) statistical test and Volume heuristic measures.
+- The [Netdata Assistant](/docs/netdata-assistant.md) is able to answer your prompts when it comes to troubleshooting Alerts and Anomalies.
diff --git a/docs/category-overview-pages/maintenance-operations-on-netdata-agents.md b/docs/category-overview-pages/maintenance-operations-on-netdata-agents.md
index 207a0bd327..1867d863ff 100644
--- a/docs/category-overview-pages/maintenance-operations-on-netdata-agents.md
+++ b/docs/category-overview-pages/maintenance-operations-on-netdata-agents.md
@@ -1,3 +1,8 @@
 # Maintenance operations on Netdata Agents Overview
 
-This section provides information on various actions you can take when maintaining a Netdata Agent.
\ No newline at end of file
+This section provides information on various actions you can take while maintaining a Netdata Agent.
+
+- [Starting and Stopping Netdata Agents](/docs/netdata-agent/start-stop-restart.md)
+- [Update Netdata Agents](/packaging/installer/UPDATE.md)
+- [Reinstall Netdata Agents](/packaging/installer/REINSTALL.md)
+- [Uninstall Netdata Agents](/packaging/installer/UNINSTALL.md)
diff --git a/docs/category-overview-pages/working-with-logs.md b/docs/category-overview-pages/working-with-logs.md
index 5e36046ebf..e1f0275299 100644
--- a/docs/category-overview-pages/working-with-logs.md
+++ b/docs/category-overview-pages/working-with-logs.md
@@ -1,3 +1,9 @@
 # Working with Logs
 
-This section talks about ways Netdata collects and visualizes logs, while also providing useful guides on log centralization setups that can be used with Netdata.
+This section talks about ways Netdata collects and visualizes logs.
+
+The [systemd journal plugin](/src/collectors/systemd-journal.plugin/) is the core Netdata component for reading systemd journal logs.
+
+For structured logs, Netdata provides tools like [log2journal](/src/collectors/log2journal/README.md) and [systemd-cat-native](/src/libnetdata/log/systemd-cat-native.md) to convert them into compatible systemd journal entries.
+
+You can also find useful guides on how to set up log centralization points in the [Observability Cetralization Points](/docs/observability-centralization-points/README.md) section of our docs.