More cleanup

Author: tyler-romero

docs/docs/guide/3-working-with-detectors.md

@@ -1,6 +1,9 @@
 # Working with Detectors
 
-### Explicitly create a new detector
+This guide will walk you through creating, retrieving, and managing detectors in Groundlight. Groundlight supports several detector modalities to suit different computer vision tasks - for more information on these modes, see the [Detector Answer Modes](../answer-modes/answer-modes.md) guide.
+
+
+## Explicitly create a new detector
 
 Typically you'll use the `get_or_create_detector(name: str, query: str)` method to find an existing detector you've already created with the same name, or create a new one if it doesn't exists. But if you'd like to force creating a new detector you can also use the `create_detector(name: str, query: str)` method
 
@@ -16,7 +19,7 @@ detector = gl.create_detector(name="your_detector_name", query="is there a hummi
 # highlight-end
 ```
 
-### Retrieve an existing detector
+## Retrieve an existing detector
 To work with a detector that you've previously created, you need to retrieve it using its unique identifier. This is typical in Groundlight applications where you want to continue to use a detector you've already created.
 
 <!-- Don't test because the ID can't be faked -->
@@ -43,7 +46,7 @@ detector = gl.get_detector_by_name(name="your_detector_name")
 # highlight-end
 ```
 
-### List your detectors
+## List your detectors
 To manage and interact with your detectors, you might need to list them. Groundlight provides a straightforward way to retrieve a list of detectors you've created. By default, the list is paginated to show 10 results per page, but you can customize this to suit your needs.
 
 ```python

docs/docs/other-ways-to-use/1-stream-processor.md

@@ -11,7 +11,7 @@ It supports a variety of input sources, including:
 - Image directories
 - Image URLs
 
-The Stream Processor can be combined with [Groundlight Alerts](../guide/10-alerts.md) to create a simple video analytics system. For example, you could use the Stream Processor to process a video stream from a security camera and send an alert when a person is detected.
+The Stream Processor can be combined with [Groundlight Alerts](../guide/9-alerts.md) to create a simple video analytics system. For example, you could use the Stream Processor to process a video stream from a security camera and send an alert when a person is detected.
 
 ## Prerequisites:
 You will need:
@@ -79,4 +79,4 @@ The Groundlight Stream Processor is lightweight and can be run on a Raspberry Pi
 ## Combining with Groundlight Alerts
 The Stream Processor submits frames to Groundlight, but it does not do anything with the results.
 
-In order to build a useful alerting system, you can combine the Stream Processor with [Groundlight Alerts](../guide/10-alerts.md).
+In order to build a useful alerting system, you can combine the Stream Processor with [Groundlight Alerts](../guide/9-alerts.md).