From unpredictable pipeline to 10-20+ qualified appointments/month — on autopilot. I built an AI ...From unpredictable pipeline to 10-20+ qualified appointments/month — on autopilot. I built an AI ...
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n8n is absolute gold for orchestrating lead pipelines like this! Connecting Gmail parsing with LLM qualification saves teams dozens of hours weekly. As someone who builds custom agentic lead automation workflows, seeing clean visual architectures like this is super satisfying. Top-tier build, Talha!.
LumaClean was losing hours to manual quoting, scheduling, confirmations, rescheduling, and follow-up. LumaFlow turns that entire process into one automated booking workflow.
I built LumaFlow for a fictional Chicago cleaning business, LumaClean.
The problem was simple: too much back-and-forth just to turn a customer inquiry into a confirmed booking.
I built Aurora, a booking experience for Studio Aurora Beauty, a fictional solo beauty studio in Belo Horizonte, Brazil.
The problem was simple: the owner was spending too much time answering availability questions, confirming appointments, sending reminders and handling rescheduling through WhatsApp and Instagram.
Aurora turns that manual back-and-forth into a seamless booking flow.
Customers can choose a service, check real-time availability, book an appointment, receive instant confirmation, and reschedule or cancel without contacting the owner.
On the business side, the owner gets a dashboard with upcoming appointments, booking statuses, pending confirmations and automated reminders.
The goal was not to build another calendar. It was to reduce the manual work around booking.