* hide diy

* fix the RH1-related stuff.
* formatting and bullet points
* specify user again

content/modules/ROOT/nav.adoc

@@ -7,10 +7,10 @@
 
 * 2. Connection and Setup ({user})
 ** xref:02-01-getting-connected.adoc[2.1 Getting connected]
-** xref:02-02-auto-created-project.adoc[2.2 (AUTO) Pre-Created project and pipeline server]
-** xref:02-02-diy-creating-project.adoc[2.2 (DIY) Creating your project and pipeline server]
-** xref:02-03-auto-created-workbench.adoc[2.3 (AUTO) Pre-Created workbench]
-** xref:02-03-diy-creating-workbench.adoc[2.3 (DIY) Creating your workbench]
+** xref:02-02-auto-created-project.adoc[2.2 Pre-Created project and pipeline server]
+// ** xref:02-02-diy-creating-project.adoc[2.2 (DIY) Creating your project and pipeline server]
+** xref:02-03-auto-created-workbench.adoc[2.3 Pre-Created workbench]
+// ** xref:02-03-diy-creating-workbench.adoc[2.3 (DIY) Creating your workbench]
 ** xref:02-04-validating-env.adoc[2.4 Validating the environment]
 
 * 3. Working with an LLM

content/modules/ROOT/pages/02-01-getting-connected.adoc

@@ -37,14 +37,15 @@ If you got this far and saw all that, congratulations, you properly connected to
 
 We are now ready to start the {ic}.
 
-== Getting Support during RH1 In-Person Labs
+== Getting Support during Red Hat Summit
 
 * In the room:
-** Some very kind colleagues will be walking around in the room, to help and/or answer questions.
+** Some very kind colleagues of ours will be walking around in the room, to help and/or answer questions.
 ** If you run into a particular issue, call out to one of them and quietly explain what the issue is.
-** If they are unsure or if it's likely to be a long explanation, they might ask you to "post the question in slack" instead. (see below)
-* Over Slack:
-** We have a dedicated Slack Channel where more colleagues (who kindly agreed to stay up late) will try to answer questions.
-** Head over to the slack channel called https://redhat.enterprise.slack.com/archives/C066EQ8LWBS[#rh1-insurance-claims-lab,window=_blank]
-** Post a message such as `I am userX and I have an issue with exercise number 2.4`
-** Use the https://slack.com/help/articles/115000769927-Use-threads-to-organize-discussions-[threads,window=_blank] feature in slack to then post a screenshot of a description of the issue, in-thread.
+
+// ** If they are unsure or if it's likely to be a long explanation, they might ask you to "post the question in slack" instead. (see below)
+// * Over Slack:
+// ** We have a dedicated Slack Channel where more colleagues (who kindly agreed to stay up late) will try to answer questions.
+// ** Head over to the slack channel called https://redhat.enterprise.slack.com/archives/C066EQ8LWBS[#rh1-insurance-claims-lab,window=_blank]
+// ** Post a message such as `I am userX and I have an issue with exercise number 2.4`
+// ** Use the https://slack.com/help/articles/115000769927-Use-threads-to-organize-discussions-[threads,window=_blank] feature in slack to then post a screenshot of a description of the issue, in-thread.

content/modules/ROOT/pages/02-02-auto-created-project.adoc

@@ -3,22 +3,24 @@ include::_attributes.adoc[]
 
 In order to give you a feel for what "day 2" experience would be like, we have pre-created a Project for you, and started to populate it with various artifacts.
 
-If you want to learn more about the product and go deeper, the next ("DYI") section will walk you through the steps required to create all this from scratch instead.
+// If you want to learn more about the product and go deeper, the next ("DIY") section will walk you through the steps required to create all this from scratch instead.
 
 == Go to your project
 
-First, in the {rhoai} Dashboard application, navigate to the Data Science Projects menu on the left:
+* First, in the {rhoai} Dashboard application, navigate to the Data Science Projects menu on the left:
++
 [.bordershadow]
 image::02/02-02-ds-proj-nav.png[]
 
-Then, open the project called 'UserX-auto'. +
-Inside the project you should see a few items that already has been pre-created:
+* Then, open the project called {user}.
+
+* Inside the project you should see a few items that already has been pre-created:
++
 [.bordershadow]
 image::02/02-02-pre-created-components.png[]
 
-These components are as follows:
-
-* A Workbench - this is your environment that you can experiment and train in.
-* A Cluster storage - this is a persistant storage for your workbench.
-* A Data Connection - it contains all the information needed to talk with an existing S3 storage, we use that to store models and pipeline artifacts.
-* A Pipeline Server - the pipeline server has already been set up here so you can import or run pipelines right away.
+* These components are as follows:
+** A Workbench - this is your environment that you can experiment and train in.
+** A Cluster storage - this is a persistent storage for your workbench.
+** A Data Connection - it contains all the information needed to talk with an existing S3 storage, we use that to store models and pipeline artifacts.
+** A Pipeline Server - the pipeline server has already been set up here so you can import or run pipelines right away.

content/modules/ROOT/pages/02-03-auto-created-workbench.adoc

@@ -3,18 +3,21 @@ include::_attributes.adoc[]
 
 One of the components that was auto-created for you is the workbench.
 
-If you click on the arrow next to the workbench, you can see some of the libraries included in it as well as how much resources it has been given.
-
+* If you click on the arrow next to the workbench, you can see some of the libraries included in it as well as how much resources it has been given.
++
 [.bordershadow]
 image::02/02-03-pre-created-workbench-info.png[]
 
-To connect to the workbench, click the **Open** link:
+* To connect to the workbench, click the **Open** link:
++
 [.bordershadow]
 image::02/02-03-open-link.png[]
 
-Then:
+* Then:
 
-* Authenticate with the same credentials as earlier
+** Authenticate with the same credentials as earlier:
+*** Your account id: `{user}`
+*** Your password: `{password}`
 * You will be asked to accept the following settings:
 +
 [.bordershadow]
@@ -26,5 +29,5 @@ image::02/02-02-accept.png[]
 [.bordershadow]
 image::02/02-03-pre-created-jupyter.png[]
 
-Notice how there is an extra folder in there called **insurance-claim-processing**. +
-This folder has been pre-downloaded for you and will be the main working folder for this lab.
+* Note the extra folder called **insurance-claim-processing**. +
+* This folder has been cloned from github for you and will be the main working folder for this lab.