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Built an AI Email Assistant in n8n to classify, summarize, prioritize, and draft replies for incoming emails. The workflow includes demo and production paths, structured outputs, routing logic, and logging. This screenshot shows a successful end-to-end demo run using mock AI responses, with Claude API integration ready for production.
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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
Just wrapped up an AI voice agent for a residential cleaning business 🎙️ It handles the full call end to end — checks service area, gives a live quote, checks real calendar availability, and books the appointment straight onto Google Calendar. Built with Vapi + n8n + Google Calendar API. Portfolio build, but fully working — swipe through the n8n workflow in the video 👀
#aiworkflow #automation #voiceai
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?