Day 4 — Implementing Intelligent Alerts_Updated

Day 4 — Implementing Intelligent Alerts_Updated

Day_004_Intelligent_Alerts.md

@@ -1,30 +1,28 @@
 # 📅 Day 4 — Implementing Intelligent Alerts
 
 ## 🎯 Goal
-Make the workflow proactive — detect issues automatically and notify the right people.
+Make the workflow proactive — detect critical issues and send immediate alerts.
 
 ---
 
 ## 🧩 Tasks
 
 ### 1. Branch the Workflow
-- After the Python node, create two branches:
-  - One for **reporting/storage**.
-  - One for **alerts**.
+- After Python node, split into two paths:
+  - **Reporting/Storage**
+  - **Alerts**
 
 ---
 
 ### 2. Define Alerting Logic
-- Add an **If Node**.
-- Configure the following conditions:
+- Add **If Node** with conditions:
   - `avg_sentiment_score < -0.4`
   - `num_negative_reviews > 5`
 
 ---
 
 ### 3. Craft Alert Message
-- Add a **Set Node** on the “True” branch.
-- Example:
+- Add a **Set Node** on the True branch:
 🚨 URGENT: Negative Sentiment Spike!
 Product: {{ $json.product_name }}
 Avg Sentiment: {{ $json.avg_sentiment_score }}
@@ -36,13 +34,17 @@ Copy code
 ---
 
 ### 4. Configure Alert Notification
-- Add a **Slack Node** connected to the alert.
-- Send the alert to a **high-priority channel** like `#ecommerce-alerts`.
-- Optionally, tag users (`@channel`) for instant visibility.
+- Add **Slack Node** connected to alert message.  
+- Send to **high-priority channel** (`#ecommerce-alerts`) with `@channel` mentions.
 
 ---
 
 ## ✅ Deliverable
-A proactive alerting system that:
-- Detects negative sentiment or unusual review spikes.
-- Sends urgent alerts directly to Slack.
+- Workflow detects predefined issues.  
+- Sends urgent alerts separately from daily summary.
+
+---
+
+## 💡 Solution
+- Proactive monitoring is in place.  
+- Stakeholders receive alerts for anomalies immediately.