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AI Automation Agency Hub
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3 contributions to AI Automation Agency Hub
14h •
ManyChat WhatsApp AI Assistant That Handles Everything
Businesses still manually reply to the same WhatsApp messages every day. I built a full WhatsApp AI assistant with ManyChat that handles: ✅ Instant customer replies ✅ Appointment booking ✅ FAQs ✅ Lead collection & qualification No more delayed responses. No more copy-pasting the same answers. This one alone saves businesses hours every single day. Want the exact flow I used? Drop a 🔥 below.
2d •
My Automation Journey (n8n → Make.com)
My automation journey so far 👇 I started by building everything with n8n. Then I discovered Liam Ottley on YouTube (www.youtube.com/@LiamOttley) and started learning + building more advanced systems with Make.com. Sharing all the automations I built in sequence.
2 likes • 1d
@Harshad Mane Haha, that's a classic trap! Once you get comfortable, it's hard to switch. But I always say it's about the logic, not the tool. I use n8n for heavy code and Make for visual speed. Sticking to one is fine, but knowing both makes you way more flexible.
1 like • 1d
@Yonas Workayehu Great question, Yonas! It was the n8n Daily AI News Digest. I built that one entirely myself. When I got stuck on the JavaScript aggregation logic, I used AI to help me troubleshoot. That’s when it clicked—using AI to solve a real problem I was facing is what made me feel like a real builder, not just someone following a tutorial.
2d •
n8n Automation: Daily AI News Digest
n8n Automation 1: Daily AI News Digest I automated my daily AI news using n8n. Problem: Hitting LLM rate limits while processing multiple RSS feeds. Solution: Used JavaScript inside n8n to aggregate 25 different sources into a single payload for Groq. Result → Clean daily digest, zero throttling. Built completely with n8n.
1 like • 1d
@Malik Ahmed Thanks, Malik! Exactly. Keeping the preprocessing inside n8n with JS keeps the stack lean and avoids adding unnecessary external services.
2 likes • 1d
@Okasha Khan Appreciate it, Okasha! Aggregating first really solves the rate limit issue at the root instead of trying to brute-force it with retries.
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