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I built an AI-powered lead qualification workflow in n8n that turns every form submission into a fast, personalised follow-up. An AI agent qualifies each lead as hot, warm, or cold. Hot leads get a custom email written by a second AI agent, and the owner is notified right away. Warm leads get a professional template email, and the owner is notified too. Cold leads get a friendly, low-pressure reply. Every lead is logged to Google Sheets for easy tracking.
Result: every lead gets an instant reply, and the business owner only spends time on the leads that matter.
Tools: n8n, AI agents, Gmail, Google Sheets.
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Join 1.25M professional creatives like you
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Automated Lead Capture & Email Notification System
Built an automated lead capture workflow that collects form submissions, structures incoming data in Google Sheets, and automatically sends email notifications when new enquiries are received. The system reduces manual data entry, improves response time, and creates an organized record of incoming leads for easier follow-up
Most teams don’t have a lead problem—they have an efficiency problem.
When you rely on manual follow-ups, qualification delays, and scattered inbox management, high-intent leads slip through the cracks.
Here is the exact revenue automation stack we built to generate $300k on autopilot while keeping manual effort to under 10 hours a week:
1️⃣ Unified Lead Capture
Inbound leads from LinkedIn, cold/warm email campaigns, and website forms flow directly into our central intake system.
2️⃣ Automated CRM Routing
Zapier handles instant data synchronization, enriching lead profiles and creating CRM records without human intervention.
3️⃣ AI Qualification & Scoring
An AI evaluation layer analyzes prospect data instantly, categorizing leads by intent, deal size, and priority.
4️⃣ Smart Email Sequences
High-intent leads trigger immediate sales rep outreach, while warm leads automatically enter tailored nurture tracks.
Key Results
⚡ 95% Process Automation
⏱️ 10 hours/week total manual oversight
📈 $25k/month consistent predictable pipeline ($300k/year)
Stop letting manual workflows bottleneck your growth. Build systems that scale while you sleep.
Suggested Hashtags
Normal work disappears. Genuine judgment surfaces.
I built Northline Flow for @Lovable’s #lovablechallenge — a fictional owner-operated home-services business in Surrey, BC.
I didn’t want to build another prettier scheduler. The problem I wanted to attack was the handling around the booking.
Routine requests can continue toward booking. Genuine ambiguity reaches the owner as one framed decision. Unsafe or wrong-fit requests stop instead of being forced into the normal booking path.
I also built a deterministic test harness and a playable Morning Shift proof mode: three fictional requests enter the same routing rules, but only one requires a human decision.
The part I’m most excited about is that the challenge itself became reusable. We captured the process from brief → working flow → adversarial testing → cinematic donor → bounded visual integration → playable proof → final freeze.
Built in Lovable.
AI AutomationBusiness Workflow AutomationProduct DesignChatGPTGoogle AntigravityLovablelovablechallenge
