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AI Lead Generation & Prospect Intelligence Automation
Developed a fully automated lead generation system that discovers businesses, enriches contact information, and creates qualified prospect lists without manual research.
The workflow collects business data from online sources, extracts company information, websites, email addresses, phone numbers, and social profiles, enriches each lead using AI, removes duplicates, and stores everything in a structured CRM-ready database.
This automation dramatically reduces hours of manual prospecting while providing high-quality leads ready for outreach.
Features
Automated business discovery
Website and contact extraction
Email and social profile collection
AI-powered lead enrichment
Data cleaning and deduplication
CRM-ready output
Scalable workflow for thousands of leads
Tech Stack
n8n • AI Models • Google Maps • Serper API • Google Sheets • Airtable
The network for creativity
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My core stack is less "generate pretty pictures" and more "build the pipeline that does the thinking":
n8n — the glue. Great for orchestrating multi-step agent workflows and connecting APIs without writing a service from scratch. Weakness: gets messy fast on complex branching logic, and debugging a broken node chain eats time.
RAG (usually with a vector DB + LangChain-style retrieval) — lets me ground LLM output in actual client data instead of hallucinated generalities. Strength: dramatically improves accuracy for domain-specific asks. Weakness: chunking/retrieval quality is finicky, and a bad embedding setup silently tanks results without throwing an error.
Claude/GPT for reasoning + code — my default for anything needing judgment: analysis writeups, SQL/Python generation, proposal drafting. Strength: fast iteration. Weakness: still needs a human check on numbers — confident-sounding ≠ correct.
Power BI / Tableau — where the AI output actually becomes something a client trusts. AI can shortcut the analysis, but the dashboard is what gets signed off on.
The honest lesson: the "AI" part is maybe 30% of the workflow. The rest is validation, data plumbing, and making the output legible to a non-technical stakeholder.
Silent failures are what I watch closest. I treat an answer as untrusted unless I can show exactly which source text the model read, because fluent output can hide a bad match.
AI Lead Scoring &
Email Outreach System — n8n
A complex multi-workflow n8n automation system — hourly lead fetch, AI intent classification, personalised email outreach generation, Gmail webhook response parsing, dynamic lead score updates, re-engagement scheduling, and daily analytics reporting. A fully autonomous outreach engine that runs 24/7.
🏠Real Estate Lead Qualification & Response Automation
From enquiry to sales action, automatically.
I built a lead management system that helps real estate businesses identify their most valuable prospects, prioritize follow-ups, and respond to enquiries faster.
Each enquiry is evaluated based on the customer's budget, buying timeline, payment method, and first-time buyer status. The system then assigns a lead score and categorizes the prospect as Hot, Warm, or Cold.
Depending on the result, the lead is automatically added to the CRM, the appropriate team or customer receives an email, and high-priority leads are flagged for immediate attention.
This helps reduce manual work, improve response time, and allow sales teams to spend more time on the leads that are most likely to convert.
Built with: n8n, Google Forms, Google Sheets, and Gmail.
Automate the repetitive. Focus on the valuable.
#WorkflowAutomation #BusinessAutomation #N8N #SalesAutomation #LeadManagement #RealEstate #ProcessAutomation #Automation #LeadGeneration
