docs: minor update to landing page text

Author: tdudgeon

pages/index.mdx

@@ -32,7 +32,7 @@ Data is at the heart of the Squonk Data Manager. Your datasets stay in the same
 the data. This is the _"bring the compute to the data"_ paradigm.
 
 This managed data environment is highly collaborative in nature, allowing sharing of data and skills across a workgroup,
-but in a secure manner. In this public demo site all data is public and computational resources are limited.
+but in a secure manner.
 
 All of this takes place in a Kubernetes cluster, providing high resilience and potential scalability.
 
@@ -49,7 +49,7 @@ These are some of the things you can do:
 ## Documentation
 
 - <InternalLink href="/docs/concepts">Concepts</InternalLink> - Concepts that you should understand
-- <InternalLink href="/docs/guided-tour">Guided Tour</InternalLink> - Walk through of the different screens
+- <InternalLink href="/docs/guided-tour">Guided Tour</InternalLink> - High level walk through
 - <InternalLink href="/docs/how-to">How To Guides</InternalLink> - Guides for doing various tasks
 - <InternalLink href="/docs/jobs">Deployed jobs</InternalLink> - Jobs that have been deployed here
 
@@ -62,16 +62,17 @@ Other Resources:
 
 ## How to access
 
-The **Squonk Data Manager** is in early stages of development, and access is currently by invitation only.
+The **Squonk Data Manager** is in early stages of development. Access depends on which deployment you are using, but for
+the [public evaluation site](https://squonk.it/data-manager-ui) is currently by invitation only.
 Please email us at [email protected] if you would like to evaluate or want further information.
 
 ## Quick start
 
 1. Log in
 2. Create a **Project** or select an existing one.
-3. Upload your datasets in the **Dataset** tab.
-4. Attach those datasets to your project.
-5. Use the **Executions** tab to launch a Jupyter notebook or execute jobs that work on those datasets.
+3. Upload files to your project or attach existing datasets.
+4. Use the **Executions** tab to launch a Jupyter notebook or execute jobs that work on those datasets.
+5. View those executions nd their results in the **Results** tab.
 
 </Grid>
 </Grid>