Capstone: Build a Lead Qualifier Bot
The scenario
A form submission comes in with a lead's details. Instead of manually reviewing every lead, build a workflow that uses AI to score and categorize each one (hot/warm/cold) and routes hot leads to an instant Slack alert.
Building the pipeline
Webhook/Form Trigger → AI node scores the lead against your criteria and returns structured JSON ({score, category, reason}) → IF/Router node branches on category → hot leads go to Slack + CRM, others go to a nurture spreadsheet.
Making it production-ready
Add error handling (Lesson 6), test with edge cases (empty fields, spam-like submissions), and monitor the workflow's execution history in n8n to catch any misclassifications over time.
Key Takeaways
- AI can score and categorize incoming leads automatically.
- Structured JSON output from the AI node enables reliable routing logic.
- IF/Router nodes branch workflows based on AI-determined categories.
- Monitor execution history to catch misclassifications and refine the prompt.
Ship a lead qualifier workflow
Build the complete lead qualifier workflow with a form trigger, AI scoring, and category-based routing. Test it with 3 different lead profiles (hot, warm, cold).