final cleanup before pushing to blueprint

Author: f5-rahm

docs/class1/module1/lab3.rst

@@ -186,12 +186,10 @@ First up, Calvin & Hobbes
 
     docker exec -it ollama ollama run calvin-hobbes
 
-.. code-block:: bash
-
-    >>> tell me about snowmen
+Once at the >>> prompt, I asked the model to "tell me about snowmen"
 
-Your responses will vary, LLMs are not digests regurgitating data. If it stops short, try prompting it again.
-My response:
+Your responses will vary as LLMs are not digests regurgitating data. If it stops short, try prompting it again.
+The response i got is below:
 
 .. code-block:: bash
 
@@ -211,17 +209,21 @@ My response:
     cooler than your boring old snowman!\nHobbes: *sigh* Just don't burn down the neighborhood
     with your reckless plans.
 
-Next up, Phineas & Ferb
+Make sure to exit the model.
 
 .. code-block:: bash
 
-    docker exec -it ollama ollama run phineas-ferb
+    /bye
+
+Next up, Phineas & Ferb
 
 .. code-block:: bash
 
-    >>> tell me about snowmen
+    docker exec -it ollama ollama run phineas-ferb
+
+Once at the >>> prompt, I repeated "tell me about snowmen" for comparison.
 
-And my response. Notice the tone and style is different than the calvin-hobbes model.
+The response is below. Notice the tone and style is different than the calvin-hobbes model.
 
 .. code-block:: bash
 
@@ -264,6 +266,12 @@ And my response. Notice the tone and style is different than the calvin-hobbes m
 
     (They continue to engage in an epic snowball battle, laughing and having fun together)
 
+Make sure to exit the model.
+
+.. code-block:: bash
+
+    /bye
+
 .. note::
 
     I tried at first to build these custom models based on tinyllama, but that model wasn't

docs/class1/module3/lab2.rst

@@ -28,7 +28,8 @@ Steps
 
    .. image:: images/00_n8n_Interface.png
 
-#. Enter account details and click **Next**.
+#. Enter account details and click **Next**. Make sure to use a real email address to get your license key, and
+   check your junk folder if you don't get it quickly.
 
    .. image:: images/01_owner_account.png
 
@@ -63,15 +64,15 @@ Steps
    .. image:: images/08_back_to_canvas.png
 
 #. Create your agent! Click the + icon that is attached to your trigger and select AI > AI Agent from the side menu. When your agent definition screen comes up,
-take a look around, but change nothing and head back to your canvas:
+   take a look around, but change nothing and head back to your canvas:
 
    .. image:: images/09_click_ai.png
    .. image:: images/10_select_agent.png
    .. image:: images/11_agent_define.png
 
 #. Enable your agent with Ollama. Click the add chat model button, then select Ollama Chat Model from the side menu. When the Ollama definition screen comes up,
-click in the box and create new credentials. All you need to do for Ollama credentials is to set the actual IP of your host machine by replacing ``localhost`` with
-``10.1.1.5`` Once complete, close out of the definition screen:
+   click in the box and create new credentials. All you need to do for Ollama credentials is to set the actual IP of your host machine by replacing ``localhost`` with
+   ``10.1.1.5`` Once complete, close out of the definition screen:
 
    .. image:: images/12_connect_model.png
    .. image:: images/13_create_cred.png
@@ -84,4 +85,9 @@ click in the box and create new credentials. All you need to do for Ollama crede
    .. image:: images/16_type_hello.png
    .. image:: images/17_mic_drop.png
 
+.. note::
+
+    This hello world is a drop replacement for what we did in Open WebUI--a graphical front-end for chatting with an
+    LLM. But there is so much more to both tools to discover!
+
 #. Homework: Now that you've done the lab, explore the memory and tool options in your agent. The memory allows you to insert your chat data in any of a number of databases. The tools are connectors to various other resources and web utilities like ticketing services and chats. Check out the various triggers besides chat interface, as well. There are incredible ways to trigger these flows, too. Please imagine the possibilities for automating a million things in your workday with simple agentic flows.

docs/class1/module4/lab1.rst

@@ -42,7 +42,8 @@ The output should resemble this:
      ✔ Container aigw-processors-demo    Started                                                                                                       0.5s
      ✔ Container aigw                    Started
 
-It might take a couple minutes for the containers to fully load. You can check status with **docker ps**
+It might take a couple minutes for the containers to fully load. You can check status with **docker ps**. If
+ one of the containers never gets there, run **docker compose restart**.
 
 .. code-block:: bash