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Telegram & Facebook Messenger Multi-Channel Bot Integration
Running customer conversations across Telegram and Facebook Messenger separately is a coordination nightmare. This unifies them into one intelligent automation.
Built a complex Make.com bot integration that listens across both Telegram and Facebook Messenger simultaneously. Incoming messages are routed through a decision tree that handles multiple conversation paths — each branch delivering the right Messenger or Telegram response based on context, with resume steps controlling flow pacing throughout. A separate Telegram router handles a parallel track for a distinct use case, and an OpenAI layer sits underneath powering intelligent, context-aware replies across both channels.
One brain. Two channels. Every message handled.
Stack: Telegram Bot · Facebook Messenger · Make.com · Router · OpenAI
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THE MOST PROFITABLE AUTOMATIONS ARE THE ONES NOBODY TALKS ABOUT.
Because they don’t look flashy… they just quietly save businesses hundreds of hours.
After a sale is closed, most teams still manually:
• Update CRMs
• Process orders and upsells
• Recalculate totals
• Transfer data into accounting tools
• Fix errors across spreadsheets
It seems small… until you scale it across every deal.
That’s where time, accuracy, and profit start leaking.
I build automation systems that remove all of that friction.
So when a deal is closed:
• CRM updates instantly
• Products, pricing, and upsells are recorded automatically
• Revenue data syncs across systems
• Accounting tools are updated without manual input
No repetition. No errors. No wasted time.
Just a clean, connected system that runs in the background.
Watch the workflow below.
businessautomationaiautomationworkflowautomationEmail AutomationAI AutomationBusiness Workflow AutomationGo High LevelGoogle SheetsMake
This is a solid piece of work 🔥 You can really see the skill and dedication behind it. Keep building and improving excited to see what you create next
Every n8n workflow has the same shape.
Three parts. Every single time.
Trigger → Processing → Action
That's it. Let me break it down in plain English:
Trigger
→ This is what starts the whole thing — a phone call ends, a form gets submitted, an email lands in your inbox.
→ Nothing runs until the trigger fires. It's the domino that tips everything else.
Processing
→ This is the middle — where the workflow reads the data, makes decisions, and branches based on conditions.
→ "If the caller wants to book, go this way. If they want to cancel, go that way." Logic. Rules. No guessing.
Action
→ This is the outcome — log the CRM, send the confirmation email, book the calendar slot, send a confirmation SMS.
→ This is the part the business actually sees. Everything before it exists just to make this happen correctly.
Here's a real one from my own work:
AI receptionist takes a call → n8n reads what the caller needed, checks which service they asked about, confirms the appointment details → books the slot in Google Calendar and sends the client a confirmation SMS.
No human touching it. No appointment falling through the cracks.
That's what n8n does. It takes the conversation and turns it into a business outcome.
The AI talks. n8n does the work.
Follow @krittiyaclark — I document every build.
The Trigger-Processing-Action framing is useful for explaining this to clients who don't think in workflow terms. Makes it concrete fast.
After the storyboard step is my favorite production phase 👉 Motion + SFX
Here's a small snippet showcasing some AI chat in action using some sounds from @Davies Aguirre
Amazing!
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