AI rule node: correct markdown prompt settings example

ui-ngx/src/assets/help/en_US/rulenode/ai_node_prompt_settings.md

@@ -1,19 +1,15 @@
 #### Example Usage: AI-Powered Alarm Analysis
+This example demonstrates how to use the AI node to automatically analyze a new device alarm, generate a human-readable summary, and suggest troubleshooting steps.
 
-This example demonstrates how to use the AI node to automatically analyze a new device alarm, generate a human-readable summary, and suggest troubleshooting steps. 
+##### Scenario
-This is useful for creating enriched notifications or populating a dashboard widget.
-
-#### Scenario
-
 An IoT freezer unit generates a "High Temperature" alarm. We want the AI to process this alarm data to create a clear summary and a recommended action plan for an operator.
 
-1. Incoming Message Structure
+1. **Incoming message structure**
-
-When the alarm is created, the message sent through the rule chain has the following structure:
 
-Message body (represent an alarm, usual alarm fields omitted for brevity)
+Message body (represents an alarm, some alarm fields omitted for brevity):
 ```json
 {
+  "type": "High Temperature",
   "details": {
     "currentTemp_C": -5,
     "threshold_C": -18
@@ -21,7 +17,7 @@ Message body (represent an alarm, usual alarm fields omitted for brevity)
 }
 ```
 
-Message metadata
+Message metadata:
 ```json
 {
   "deviceName": "Freezer-B7",
@@ -29,12 +25,11 @@ Message metadata
 }
 ```
 
-2. To achieve our goal, we configure the two prompt fields as follows:
+2. **Prompt configuration**
 
 **System prompt**
 
 Here, we set the AI's role and enforce a strict JSON output format. This ensures the output is always machine-parsable.
-
 ```
 You are an expert AI assistant for IoT operations. 
 Your task is to analyze device data and respond with a single, valid JSON object. 
@@ -44,7 +39,6 @@ Do not include any text, explanations, or markdown formatting before or after th
 **User prompt**
 
 This prompt defines the specific task, using templates to dynamically insert data from the incoming alarm message.
-
 ```
 Analyze the following alarm from a "${deviceType}" unit named "${deviceName}".
 
@@ -56,18 +50,19 @@ Based on the alarm data, generate a JSON object with two keys:
 2. "action": A concrete, recommended next step for an operator.
 ```
 
-3. How It Works
+3. **How it works**
 
 When the alarm message from "Freezer-B7" is processed by the AI node, the templates are substituted with the actual data:
 - `${deviceName}` becomes "Freezer-B7"
 - `${deviceType}` becomes "CommercialFreezer"
-- `$[*]` is replaced by the entire message body JSON: `{"alarmType": "High Temperature", "severity": "CRITICAL", "currentTemp_C": -5, "threshold_C": -18}`
+- `$[*]` is replaced by the entire message body JSON: `{"type":"High Temperature","details":{"currentTemp_C":-5,"threshold_C":-18}}`
+> **Note:** You can also use `$[*]`. In this case, it will be replaced with the entire message metadata JSON.
 
 The final instruction sent to the AI is a combination of the system and the substituted user prompt.
 
-4. Expected AI Output
+4. **Expected AI output**
 
-Given the combined instructions, the AI would generate the following structured JSON output, which can then be used in subsequent rule nodes (e.g., to send an enriched email or create a trouble ticket).
+Given the combined instructions, the AI would generate the following structured JSON output, which can then be used in subsequent rule nodes (e.g., to send an enriched email).
 
 ```json
 {
@@ -75,3 +70,6 @@ Given the combined instructions, the AI would generate the following structured
   "action": "Dispatch technician immediately to inspect the unit's cooling system and ensure the door is properly sealed. Investigate for potential power issues."
 }
 ```
+
+> **Note:** The scenario above is a hypothetical example designed to illustrate the functionality of the node and its templating capabilities.
+> The specific details, such as freezer alarms, are used for demonstration purposes and are not intended to suggest or limit the potential use cases.