Fix MCP vs Artifact Control Plane (#3508)

Author: strickvl

docs/book/.gitbook/assets/mcp_walkthrough.gif

@@ -22,7 +22,7 @@ layout:
 
 The [Pro version of ZenML](https://zenml.io/pro) extends the Open Source product with advanced features for enterprise-grade MLOps.
 
-![Walkthrough of ZenML Model Control Plane](../../.gitbook/assets/mcp_walkthrough.gif)
+![Walkthrough of ZenML Model Control Plane](../../.gitbook/assets/mcp-walkthrough.gif)
 
 ## Key Features
 

docs/book/getting-started/zenml-pro/README.md

@@ -4,7 +4,7 @@ icon: tower-control
 
 # Use the Model Control Plane
 
-![Walkthrough of ZenML Model Control Plane (Dashboard available only on ZenML Pro)](../../../.gitbook/assets/mcp_walkthrough.gif)
+![Walkthrough of ZenML Model Control Plane (Dashboard available only on ZenML Pro)](../../../.gitbook/assets/mcp-walkthrough.gif)
 
 A `Model` is simply an entity that groups pipelines, artifacts, metadata, and other crucial business data into a unified entity. A ZenML Model is a concept that more broadly encapsulates your ML products business logic. You may even think of a ZenML Model as a "project" or a "workspace"
 

docs/book/how-to/model-management-metrics/model-control-plane/README.md

@@ -6,7 +6,7 @@ description: Understand and adjust how ZenML versions your data.
 
 Data sits at the heart of every machine learning workflow. Managing and versioning this data correctly is essential for reproducibility and traceability within your ML pipelines. ZenML takes a proactive approach to data versioning, ensuring that every artifact—be it data, models, or evaluations—is automatically tracked and versioned upon pipeline execution.
 
-![Walkthrough of ZenML Artifact Control Plane (Dashboard available only on ZenML Pro)](../../.gitbook/assets/dcp\_walkthrough.gif)
+![Walkthrough of ZenML Artifact Control Plane (Dashboard available only on ZenML Pro)](../../.gitbook/assets/dcp_walkthrough.gif)
 
 This guide will delve into artifact versioning and management, showing you how to efficiently name, organize, and utilize your data with the ZenML framework.
 

docs/book/user-guide/starter-guide/manage-artifacts.md

@@ -4,7 +4,7 @@ description: Creating a full picture of a ML model using the Model Control Plane
 
 # Track ML models
 
-![Walkthrough of ZenML Model Control Plane (Dashboard available only on ZenML Pro)](../../.gitbook/assets/mcp_walkthrough.gif)
+![Walkthrough of ZenML Model Control Plane (Dashboard available only on ZenML Pro)](../../.gitbook/assets/mcp-walkthrough.gif)
 
 As discussed in the [Core Concepts](https://docs.zenml.io/getting-started/core-concepts), ZenML also contains the notion of a `Model`, which consists of many model versions (the iterations of the model). These concepts are exposed in the `Model Control Plane` (MCP for short).