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How an AI enquiry workflow works 👇
1️⃣ Customer sends a question
2️⃣ AI reads it and sorts it by topic
3️⃣ Routine question? It drafts a reply from approved info
4️⃣ Sensitive question? It hands it straight to a person
The AI never guesses, and your team stays in control.
Seeing the AI split routine and sensitive queries keeps the inbox tidy while letting the team handle the tricky ones.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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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
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 businesses don't need a new system to use AI. They need AI plugged into the one they already run.
The 4 places I usually add it
1. In the inbox - emails, PDFs and forms turned into clean records
2. In the workflow - AI sorts and routes work so people only handle exceptions
3. Beside the database - ask questions in plain English, get reports
4. At the front door - chat and voice agents that answer from your own knowledge
No rebuild, no migration. Which of these would save your team the most time?
