Is anyone else having Outlook issues? Is this an n8n failure?

Sharing is caring. This is a very simple workflow that reports errors to you, AND tells you what to fix. It has saved me many hours trying to figure out what was wrong. It uses n8n itself to debug your workflows. It costs nothing, and will point you to the exact problem with your workflows. Simply replace your n8n key and your ‘send from’ email, and you’ll get immediate notification when a workflow fails, a detailed description, and suggestions of exactly how to fix it. After setup, just go to the “Settings” in each workflow and under errors, select this workflow. Whenever/if it fails, this workflow will be triggered. Here is an example of the email you receive, with a link directly to the execution that failed. Hello, there has been an error in a workflow. Please check below for details: Direct Link To Affected Execution: https://xxxxxxxxxxxxxxxxxxxxxxxxx Name Of Affected Node: Clean up email Type Of Affected Node: n8n-nodes-base.set Error Message: Node 'Get Call Data' hasn't been executed 🤖 AI Debugging Assistant Analysis: Root Cause Analysis: The error "Node 'Get Call Data' hasn't been executed" occurs because of a logical branching issue in the workflow. The Check for CallID (IF node) creates two distinct execution paths. True Path: If a callId exists, the workflow proceeds to the Get Call Data (HTTP Request) node to fetch additional information. False Path: If a callId does not exist, the workflow bypasses Get Call Data and connects directly to the failed node, Clean up email. The Clean up email (Set node) contains an expression for the phone field that explicitly tries to access data from the Get Call Data node: $('Get Call Data').item.json.customer.number. When the workflow takes the "False Path" (because there is no callId), the Get Call Data node is skipped. Consequently, when the Clean up email node tries to execute its phone expression, it fails because Get Call Data has no output data, leading to the reported error.

Gemini 3 Pro is here, and the benchmarks are seriously impressive. In this video, I break down what makes Google’s new chat model stand out, where it performs best, and where it still falls short. I also run real tests inside n8n so you can see exactly how it behaves in automations and AI agent workflows. If you want to learn how to connect Gemini 3 Pro to n8n, when to use it, and how it can upgrade the systems you build, this video will walk you through everything step by step.

What a crazy week in the AI space... In this video, I break down Google’s new NanoBanana Pro image model, and it is hands down the most detailed image generator I’ve used so far. I’ll show you how to plug it into n8n to level up your AI agents and automation workflows, and how to get it running cheaper than the official price with no watermarks. We’ll walk through text to image, image to image, and using multiple input images so you can test different prompts right away. The setup is simple, there’s no code needed, and you can follow along step by step as we build this workflow together.

This has been a long-running project for me. I needed a better way to present proposals from my termite and pest control company. Termite reports are regulated by the state, and they are difficult to interpret. We needed a better way to present our findings, and reduce steps for clients to accept our repair proposals. This workflow takes our report created with a rudimentary program. Luckily, the report can be emailed directly from the software. My workflow checks a dedicated outlook email inbox for new email with an attached pdf. It parses the flat file using PDF.CO to extract various values, creates a cover letter to interpret the original findings into a client-friendly letter, takes the proposal items and builds a smart shopping cart giving clients the ability to check the repairs they want, and sends it for signature (like a Docusign). There is a lot going on here, and I know there were others building workflows with PandaDoc. It is not cheap, but I built what I wanted and it is saving my staff a lot of time. Hopefully this reduces barriers for the client so we get higher acceptance! #PDF.CO #Outlook365 #PandaDoc