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9 contributions to Real-World n8n Builders
From idea to a live AI system in just 4 weeks. 🚀
I want to take a moment to celebrate one of our students @Cosmina Balu who just blew us away with her progress. In just four weeks, she managed to build a fully automated system using Airtable and n8n. The salespeople use a UI to enter a certain campaign and then the n8n automation finds past customers from a database and uses AI to write personal upselling and reactivation emails. The emails are genuinely indistinguishable from something a human would write, warm, realistic, and effective. It’s amazing to see how quickly you can go from "learning a tool" to "building a business asset" when you have the right focus. Huge congrats on the execution!
From idea to a live AI system in just 4 weeks. 🚀
0 likes • 20h
Nice work @Cosmina Balu
Question: Best RAG strategy for 12 heavy Textbooks?
Hi @Nadia Privalikhina & @Serop B , I have a client project using n8n and I need some advice on the RAG setup. The client has 12 large textbooks (PDFs). I need to build an automation where the AI generates course lessons, but it must use only specific books or chapters as the source material (not the whole library at once). I know that you will teach us about this in the upcoming course, but I just want to quickly understand it because I need it right now. My questions: 1. What is the best strategy to "chunk" or split these large files? Should I split them by chapter before uploading? 2. How do I set up the metadata so the AI knows which book is which? 3. Are there any specific tutorials or resources you recommend for building a "Textbook RAG" system in n8n? Thanks in advance!
1 like • 15d
Thanks @Nadia Privalikhina & @Serop B Thank you both for the pivot in strategy. This saves me a lot of over-engineering! To clarify: No, it is not a chatbot. It is strictly a backend automation to bulk-generate hundreds of course lessons based on textbook. My follow-up question regarding the "no-vector" approach. Since I’m skipping the vector database, my main challenge becomes parsing. These are PDF textbooks. Do you have a recommended tool, n8n node, or external API that reliably splits PDFs based on the Table of Contents/Chapters?
1 like • 15d
@Nadia Privalikhina Got it, Nadia. I’m going to rewatch the Week 3 lesson and use LlamaParse. I was a bit busy due to some family reasons, but I’ll get back to the work soon. Thanks!
🎉 Week 2 Completed — Great Job, Everyone!
We’ve officially wrapped up Week 2 of the cohort, and what an amazing week it has been! 🚀 So far, we dove deep into n8n fundamentals and explored two real-world use cases me and Nadia have already sold to clients: ✨ Automated Proposal Generation ✨ Email Auto-Responder Systems It was incredible to see the group applying these skills so quickly and creatively. You submitted your homework, tackled brainstorming tasks, and pushed yourselves to build practical automations that bring real value.👏 Huge congratulations to everyone who submitted their work on time and an equally big shoutout to those still working hard to learn n8n and integrate AI into their daily workflows. Your effort, curiosity, and consistency are what make this community special. Let’s keep the momentum going, Week 3, here we come! 💡
🎉 Week 2 Completed — Great Job, Everyone!
2 likes • 25d
I’ve already built some automations, but there’s still a lot to learn. The calls and lessons have been incredibly helpful. Thanks, Nadia & Serop
1 like • 25d
@Nadia Privalikhina Thanks Nadia, Looking forward to it.
n8n Error Trigger node
Hi @Serop B , I have a quick question. In our first office hours session, you suggested using the Error Trigger node to get notified whenever a client’s production workflow runs into an issue. I recorded a short video showing what I’m trying to do. Could you take a look and help me with this? Thanks! Issue : https://www.veed.io/view/40ff38f5-8915-44e9-8ce7-2bb2ac0c0c6f?source=editor&panel=share
1 like • Nov 10
@Serop B Oh okay, got it now. Silly me 😅 Thanks✌️
n8n Crash Course (week 1) is now live
Hi guys, we just created a crash course in n8n and posted it in the cohort under week one. There we covered some of the basic concepts of n8n which we noticed are a little bit challenging. Make sure to check it out, it's about 50 minutes long. So you find it: Classroom -> Week 1 -> Crash course. Enjoy
n8n Crash Course (week 1) is now live
2 likes • Nov 5
Thanks @Serop B ✌️
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