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This n8n workflow automates the process of handling incoming emails, summarizing them, drafting a response using AI, and requiring manual human approval before sending the final reply.
Gmail Trigger: Listens for incoming emails to kick off the automation sequence.
Markdown: Converts the raw HTML email content into clean Markdown format.
Email Summarization (Google Gemini): Utilizes a Google Gemini chat model to analyze and summarize the incoming message.
Write email (Google Gemini): Generates a contextual reply draft via a second Gemini model node.
Set Email text & Approve Email: Sets up a manual review step ("Send and Wait for Response") where a human can check and edit the drafted text.
Approved? & Send Email: Evaluates the approval status; if approved (true), the final email is automatically dispatched back through Gmail.
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AI Home Services App — Smart Technician Booking & Repair
A premium AI-powered home services app designed to simplify how people diagnose home problems, find the right service, and book qualified technicians.
The product uses AI to turn a simple problem description into a clear service recommendation — helping users move from “What’s wrong?” → “What do I need?” → “Who can fix it?”
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→ Text, voice & photo input
→ Smart service recommendations
→ Technician discovery & booking
→ Transparent service information
→ Real-time technician tracking
→ Premium, intuitive mobile experience
The concept is designed for founders building AI home-service platforms, technician marketplaces, repair apps, and SaaS products where reducing friction and improving the booking experience can create a stronger customer journey.
Role: Product Designer
Focus: AI Product Design · UX/UI · Mobile App Design · Service Marketplace
Rope Street Tattoo, Brașov (fictional)
Problem solved: a solo tattoo artist loses tourist leads to midnight DM replies and a day's pay to every no-show. Now any message becomes a priced, deposit-paid booking in under a minute, and confirmations, reschedules and waitlist refills run on their own.
The client: Mara, one chair, around the corner from Strada Sforii. Gloves on 7 hours a day, so DMs wait until midnight. Every quote needs size, placement and colour: about 7 messages per booking. Tourists leave before she replies, and 1 client in 7 doesn't show up.
What I built in Lovable:
→ Front door: describe the idea in English, German or Romanian. AI reads it, but Mara's own rules set duration, price and deposit. Only times that fit the job and the customer's days in town. Stripe deposit, booked. Cover-ups and hands go to Mara instead.
→ Autopilot: confirm or move at 72 h, a second nudge at 48 h, unconfirmed slots released 24 h ahead and offered to the waitlist, prep reminders, online consent forms, aftercare and touch-ups.
→ Owner area: Today, Week, Needs you with drafted replies, paste-a-DM replies, and the numbers: in four weeks of demo data, 304 messages not written and 38 h 53 min saved.
→ A demo clock to fast-forward and watch it work.
Try it: https://rope-street-tattoo.lovable.app
Owner view: footer → Studio → Try the owner view → Demo clock
Case study: https://rope-street-tattoo.lovable.app/story
A tourist who books two days ahead lands inside the 72-hour confirmation step. Does that booking skip the confirm-or-move message, or does it get the 48-hour nudge straight away?
GrowMint AI - AI Marketing Automation Website
An AI marketing automation experience designed around the needs of marketing teams, growth marketers, and digital businesses.
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Nice design