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Stage 3 of the AI Lead Intelligence Engine is live.
HOT leads now receive an automatic AI voice call within 90 seconds of form submission, powered by Vapi.ai. The AI agent qualifies the lead, asks discovery questions, and attempts to book a meeting. No human involvement at any stage.
Full pipeline: Lead capture → AI scoring → Personalized email → AI voice call → CRM logging.
Built on n8n, Vapi.ai, Gemini AI, Gmail API, and Google Sheets.
Calling within 90 seconds is where most of the conversion lift comes from, so that's a smart stage to automate. How are leads reacting once they realise it's an AI on the line? I'd want a quick path to a human when someone asks for one.
Early reactions have actually been better than expected, most leads don’t ask if it’s AI upfront, they just respond to the conversation. But you’re right that a human handoff path is essential. The current build flags any call where the lead asks “Am I speaking to a person?” and...
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An experimental exploration of bringing AI conversations to life through motion. ✨
Tool stack: Figma × Claude × After Effects
Really impressive
🚀 Just Built an AI Lead Nurturing Agent for B2B Sales Teams!
The problem: Most B2B companies lose leads because follow-ups are slow. By the time a rep reaches out, the lead has already talked to competitors.
The solution: An AI agent that handles the entire lead nurturing workflow:
✅ Scores leads as HOT/WARM/COLD automatically
✅ Sends personalized follow-ups within 60 seconds
✅ Logs everything to Google Sheets/CRM
✅ Alerts reps only for serious buyers
✅ Books meetings directly into calendars
Tech Stack: n8n | OpenAI | Google Sheets | Gmail | Telegram
Result: 60% higher conversion rate, 15+ hours/week saved per rep.
This is like having an AI SDR that never sleeps — for $300/month.
Want this for your sales team? Let's talk.
#AIAutomation #LeadNurturing #B2BSales #SalesOps #n8n #PropTech
The bit about auto booking meetings into calendars looks like it will eliminate a lot of scheduling back and forth.
**Project title**
AI Real Estate Lead Qualification System
Short description:
An AI-powered workflow concept that captures property enquiries, qualifies potential buyers, organizes lead details, and notifies real estate sales teams.
The problem:
Real estate agents spend time collecting buyer requirements and organizing incoming enquiries manually.
My solution:
I designed a workflow connecting an AI assistant with lead qualification, CRM or Google Sheets storage, and sales notifications.
Workflow:
Capture enquiries from a website or WhatsApp.
Ask about budget, location, property type, and investment goals.
Structure and qualify the responses.
Store lead details in a CRM or Google Sheets.
Notify the sales team for follow-up.
Project status: Concept / prototype.
Tools planned: OpenAI API, n8n, Google Sheets/CRM, and website or WhatsApp integrations.
What caught my eye is pulling budget, location and investment goals directly from a WhatsApp chat, which should cut a lot of the manual follow up.