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Weekly Call is happening in 13 hours
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4/29 Call
Talking points from the call @Alfred Alonso -> build out Apify scrapers, there may be a potential side hustle @Tymur Pedchenko -> n8n workflow pipeline to ingest school papers and ask questions about it obsidian RAG pipeline @Alexander Cebulla - 2 New Consulting clients, crushing projects @Joanna S - Graduating data analyst degree this year -> Freelance vs full time job (Focus on Full Time first). Focus on niche project as well as AI @Shola Alaba -> Working on a new n8n project @Fernando Pereira -> Applying to fintech jobs and watching the 17 hour n8n course. Focus on Ai over SQL/Python atm
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4/29 Call
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17 Hour FREE n8n v2 Course is out now!
All of the resources for the course are in the classroom Excited to share with you what I worked on over the past few weeks https://www.youtube.com/watch?v=TZ43SRdTMs0
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Let's Break The Ice 🧊
Drop a comment below and share: 1) A career goal you're working toward 2) A personal goal that matters to you 3) Your favorite music artist right now Let's get to know the people behind the profiles. I'll go first in the comments! 👇
How I automated 5 core restaurant operations with AI agents — modular architecture breakdown
Hey everyone 👋 Finished a portfolio project I'm excited to share — a Restaurant AI Suite that automates 5 core areas of restaurant operations. The problem it solves: Restaurant owners spend hours every week on tasks that can be fully automated — checking reviews, handling bookings, monitoring stock, promoting the menu. This system handles all of it. 🍽️ What it does: → Monitors reputation on Google Maps, TripAdvisor & Yelp — AI sentiment analysis every 6 hours → Handles reservations via Telegram bot — auto-confirms by email, sends reminder 24h before → Recommends menu items daily based on live weather conditions → Checks inventory and sends low-stock alerts before items run out → Analyzes dish photos with AI vision and generates professional menu photos with DALL-E 3 All results go into a live dashboard the owner can check from their phone. 💡 The key design decision: modular architecture. Each agent is an independent n8n workflow. The client can start with 1 agent and add more over time — without touching existing workflows. Need a guest return engine? Delivery bot? Social media poster? Each one slots in as a new agent. This is the approach I use for all client projects now — start small, expand modularly. Full project on GitHub: github.com/Evgeniy1970-ai/restaurant-ai-suite Portfolio: neolithai.netlify.app Has anyone here built automation for HoReCa clients? Would love to hear what challenges you ran into.
How I automated 5 core restaurant operations with AI agents — modular architecture breakdown
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* Total Views: 673,611 (673.6K) * Watch Time: 155,400 hours * Subscribers Gained: +2,700 * Estimated Revenue: $4,264.43 📈 Growth Analysis The channel has experienced exceptional growth of over 9999, indicating a strong breakout phase with increasing algorithm support. Reaching 155K+ watch hours shows excellent audience retention, which is a major factor in scaling content across YouTube.
🚀Channel Performance Overview (Last 28 Days)
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