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Built a CRM system for a dental clinic to manage the full patient journey in one place: new patient leads captured from forms, ads and calls, a stage-based pipeline, appointment booking with calendar sync, and automated SMS/email reminders and recall follow-ups. The front desk no longer has to chase leads or confirmations manually. #CRM #Automation #GoHighLevel
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Working on the Lovable challenge and just dropped the initial draft for this dental clinic web app!
Here’s a quick UX decision I made during the wireframing stage: I originally considered a live chatbot, but ended up replacing it with a structured, interactive FAQ-to-booking funnel instead.
Why the pivot?
Conversion Optimization: Patients visiting a dental site usually want instant answers on pricing, insurance, or immediate availability. A streamlined FAQ that leads straight into a clear "Book Now" CTA reduces friction and drives higher conversion rates.
Implementation Speed: Let's be honest, setting up a full conversational chat integration within a tight challenge timeframe isn't practical.
By prioritizing high-intent UI elements like interactive prompt chips ("Routine check-up?", "Can I book this week?"), the user journey stays fast, clear, and focused on booking appointments.
Building this whole design system and prototype using Lovable and Figma. Wish me luck! 🤞
Really inspiring work.
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
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.
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