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Every new client starts with a conversation, but sending that first email shouldn't eat up your entire day. Imagine having an assistant that handles the repetitive work while you focus on the bigger picture. That's exactly what this AI powered cold email outreach agent does. Built with n8n, it automates email sending and adds a personal touch through each recipient's name and business details, making outreach smoother, faster, and more efficient.
Ready to spend less time sending emails and more time opening doors to new opportunities? Let automation send the first hello.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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🚨 A dental clinic was losing patients every single day.
Not because of bad service. Not because of high prices.
Because nobody was replying to messages.
Patients messaged on WhatsApp, Messenger, SMS… And waited. And waited. And left.
The clinic owner contacted me with one simple ask:
“I can’t hire someone to reply 24/7. Can you help?”
So, I built them an AI receptionist that never sleeps. 👇
Here’s exactly what it does:
✅ Omnichannel Support: Instantly replies to patients on WhatsApp, Facebook Messenger & SMS — all from one system.
✅ Human-like AI: Google Gemini AI understands the message, detects intent, and replies naturally.
✅ Smart FAQ Handler: Answers questions about services, pricing & clinic hours by pulling live data from Google Sheets.
✅ Automated Booking: Checks availability, blocks double-bookings, and confirms only after saving to the sheet.
✅ Instant Alerts: Notifies the clinic owner instantly via Gmail + Telegram on every new booking.
✅ Smart Reminders: Sends automated email reminders — 2 hours and 1 hour before the appointment.
✅ No-Show Recovery: Detects missed appointments and automatically sends a polite rescheduling email after 12 hours.
The Tech Stack 🛠️:
⚙️ Make.com — Automation backbone
🧠 Google Gemini 2.0 Flash — AI brain
📊 Google Sheets — Live clinic database
💬 Green API — WhatsApp integration
📱 Facebook Messenger API & Twilio — Chat & SMS
✉️ Brevo — Email reminders
📢 Telegram Bot — Owner notifications
💾 Make.com DataStore — Conversation memory per patient
The Result? 📈
Every patient gets an instant, intelligent reply — 24/7. No missed bookings. No forgotten appointments. No manual follow-ups.
The clinic owner now wakes up to confirmed appointments already in the sheet with zero manual effort.
This is what I build for businesses. If you’re still replying manually and losing leads while you sleep — DM me. Let’s fix that. 👇
#MakeAutomation #AIAutomation #NoCode #Makecom #GeminiAI #WhatsAppAutomation #BusinessAutomation #AIReceptionist #FreelanceAutomation #Upwork #Fiverr
Nice build, and very close to a WhatsApp assistant I just built for a dental-clinic use case on the WhatsApp Cloud API. Two things mattered a lot in testing: when a patient asks for a person, the bot has to go completely quiet for that chat until the owner hands it back, and the...
I built this speculative mineral cabinet to simulate ultraviolet fluorescence and light-wavelength transitions directly in the browser inside a clean interactive UI.
Users can flip the cabinet lamp between 5500K daylight and 365nm longwave UV to watch dull, grey stones instantly catch fire. The system catalogs seven fictional specimens from Verdigrite to Duskbloom mapping out their host lattices, trace metal activators, emission wavelengths (from 416nm cold violet to 640nm rose pink), and seam localities. If you switch the lamp back to daylight, the borrowed photon energy cuts off immediately, while specimens like Sporewort hold a brief half-second phosphorescent linger before going dark.
Everything runs on the client side using JavaScript, CSS, and HTML5. The stone visuals, wavelength states, and spectrum plots render locally in the browser without relying on heavy external assets or server calls. The page updates the crystal glow, the three step photon excitation breakdown, and the spectral chart in one pass. I even included a control specimen called Nullstone with zero trace activators. So when someone flips on the UV lamp, it stays completely dark and inert instead of faking a glow.
The ragebaiting part was to format and structure out the mineralogy lore and wavelength data so it felt clean and fast. Putting the activator traces, nanometer readings, and locality codes right beside each stone makes it easy to read the numbers while looking at the crystal glow. No distractions. Showing the emission spectrum chart at the bottom also helps visitors see where every specimen sits on the visible band before cutting the lamp.😊
AI Agent vs Body
One AI agent is single-player.
Work is multiplayer.
Start with one agent. I explain it as a body.
The LLM is the brain.
It reads, writes, and reasons. It knows nothing about your business.
RAG is the brain with a library.
It looks things up in your documents before it answers.
MCP is the nervous system.
Model Context Protocol. One standard way to wire the brain to tools and data. Build the connection once, and any agent that speaks MCP can use it.
Skills are muscle memory.
Know-how saved once and loaded when a task calls for it.
The agent is the brain with hands.
It plans the steps, then carries them out in your tools.
