# 📅 Day 4 — Implementing Intelligent Alerts

## 🎯 Goal
Make the workflow proactive — detect issues automatically and notify the right people.

---

## 🧩 Tasks

### 1. Branch the Workflow
- After the Python node, create two branches:
  - One for **reporting/storage**.
  - One for **alerts**.

---

### 2. Define Alerting Logic
- Add an **If Node**.
- Configure the following conditions:
  - `avg_sentiment_score < -0.4`
  - `num_negative_reviews > 5`

---

### 3. Craft Alert Message
- Add a **Set Node** on the “True” branch.
- Example:
🚨 URGENT: Negative Sentiment Spike!
Product: {{ $json.product_name }}
Avg Sentiment: {{ $json.avg_sentiment_score }}
Please investigate immediately.

yaml
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.

---

## ✅ Deliverable
A proactive alerting system that:
- Detects negative sentiment or unusual review spikes.
- Sends urgent alerts directly to Slack.