supp fam! It's been like 8-9 months since the original workflow was released thanks to our main man Nate! I'm curious -- how far along have you gone with yours? What cool things have you added to it outside of what it came with? How did you give it superpowers lol? I'm trying to get ideas so I can update my original one. TIA!

Just finished building a Payment Fail Recovery Agent — and this thing straight up behaves like a billing assistant I never hired Here’s how the system works: 1. Stripe Trigger The agent wakes up instantly when a payment fails. No delay, no manual checking. 2. Customer Lookup It fetches: customer name email subscription ID invoice data So every action is personalized. 3. Auto-Retry Engine Before sending anything, the agent tries the charge again automatically. This alone recovers a surprising % of failed payments. 4. Smart Email Logic Depending on what happens: ✓ Retry Succeeds The customer gets a clean “Payment Successful” email. ✓ Retry Fails Agent sends a fresh payment link + instructions. ✓ Payment STILL Fails A final warning email is sent with: urgency link to update card subscription details support contact No more chasing people manually. 5. Fully Automated Billing Recovery The entire sequence runs without a single touch from you — saving revenue that normally slips away silently. How's this agent? Will it help? Any suggestions to make this more good? Any chance to make it better?

Supp fam! So check it out, I'm looking for inspo on creating N8N workflows that revolve around SEO. What do you got? What did you build? How does it work? What's needed for something like this, top to bottom. Keyword research, trending keywords, writing blog articles, etc etc. The usual SEO Agency pack lol but in n8n.

In this video I show a new, faster way to build RAG agents in n8n using the Pinecone Assistant to handle the heavy lifting, no preprocessing pipeline, no manual chunking, no custom embedding flow. You simply drop your documents in and Pinecone takes care of ingestion, splitting, and indexing on the back end. Then we wire it up in n8n to get accurate answers with trustworthy, page-level citations and exact text quotes pulled straight from your knowledge base. If you’re a beginner, this is the easiest path I’ve found to stand up a production-ready RAG agent; if you’re more advanced, it’s a huge time-saver for rapid prototyping. Follow along step-by-step as I connect n8n to Pinecone Assistant, load docs, test grounded responses, and return clean sources you can show to clients or stakeholders, all with a simple, no-code build that you can replicate in minutes.

yooo! Is anyone working on with OpenAI's Agent Builder? What are you working on? What are you finding? Let's collab in the comments :)