Hey community! Do someone use microsoft business accounts with n8n. I cant send emails with the n8n node thru my business account, right now my emails are bouncing when im trying to send them telling me that the IP adress im sending from is not trustworthy. Is it someone that been having the same issues? Thanks! This is the error message i get. Your message wasn't delivered because the recipient's email provider rejected it. Diagnostic information for administrators: Generating server: GVYP280MB0701.SWEP280.PROD.OUTLOOK.COM [email protected] server returned '550 5.7.708 Service unavailable. Access denied, traffic not accepted from this IP. For more information please go to http://go.microsoft.com/fwlink/?LinkId=526653 AS(7230) [GVYP280MB0986.SWEP280.PROD.OUTLOOK.COM 2025-03-12T21:24:21.938Z 08DD5FDB6CB4026E]'

Hi everyone, First off, a big thanks to this amazing community and to Nate for all the valuable content you share it’s been incredibly helpful! Thanks to what I’ve learned here, I’m on my way to onboarding my first clients! :) I have a few questions about how you typically handle client setups: 1. When working with customers, do you set up n8n accounts for them and build the workflows directly there, or do you host everything on your own? 2. For databases, do you create separate accounts for clients, or do you use your own accounts to manage their data? 3. Has anyone here delivered a chatbot with tools through n8n for a client’s website? If so, how did you handle delivering both the chatbot and the UI to the client? I’d love to hear your approaches and what has worked best for you. Thanks in advance for sharing your experiences and tips – I really appreciate it! Cheers, Andreas

Hi everyone! I’m facing a relatively simple (I hope!) challenge. My Google tokens expire after 1 hour, so I have to reconnect every time they expire. From what I understand, tokens should last up to 7 days in test mode, but it seems n8n isn’t saving a refresh token. Would publishing my app and moving it out of test mode be the fastest and easiest solution? Or is there another workaround I should consider? Has anyone else encountered this issue and found a good solution? Thank you in advance for your help!

Hey! I'm exploring ways to build long-term memory for my assistant, storing every input and output in a Pinecone vector database. The idea is to capture each message as a vector, tagged with metadata like sender, timestamp, and session ID, so the assistant can access and reference past interactions based on semantic similarity. How have others approached creating long-term memory for assistants? Any best practices or tips on structuring the workflow efficiently?