Built a multi-step scraping automation in Make that pulls data from the web via HTTP requests, runs it through a Text Parser to clean and structure it, then passes it through Google Gemini AI to extract or summarise the relevant information all ending in an organised output via Google Sheets or a connected tool. The workflow handles two full scraping cycles in one scenario, meaning it processes and validates data twice before storing it.
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.
An AI marketing automation experience designed around the needs of marketing teams, growth marketers, and digital businesses.
The interface brings campaign management, customer journeys, analytics, and AI-driven optimization into a focused SaaS product experience, making complex automation easier to understand and navigate.
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