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2 contributions to AI Automation Society
AI Agent Ignores Prompt Instructions, Outputs Extra Text Causing Structured Output Parser Failure
Hi everyone, I'm using the AI Agent node in n8n. My goal is to have it process data and output a structured JSON array directly, containing fields like Category, keyword, Reasoning, MSV, etc. To ensure the output format, I have a Structured Output Parser node connected downstream from the AI Agent. The parser is configured with a JSON example that perfectly matches the structure I want the AI Agent to output. The Problem: The AI Agent node doesn't seem to strictly follow my prompt instructions. Even though I explicitly instruct it in the prompt to output ONLY the JSON array and nothing else, it frequently prepends conversational text (e.g., "Okay, I will start processing..." or similar phrases) before starting the actual JSON ([). This prefix text causes the downstream Structured Output Parser to fail immediately with the error: Model output doesn't fit required format. What I've Tried: 1. In the AI Agent prompt, I've detailed the task, provided an exact JSON structure example, and used very strong instructions explicitly forbidding any confirmation messages, comments, or conversational text, demanding the response start directly with [ and end with ]. 2. I've double-checked that the JSON example in the Structured Output Parser is correct and perfectly matches the structure requested in the prompt. 3. I've reviewed the AI Agent node's settings but couldn't find any obvious option to disable this "conversational" behavior. My Questions: 1. Are there any prompt engineering tricks specifically effective for the n8n AI Agent node to make it more reliably obey commands and output only pure JSON without any prefix? 2. Does the AI Agent node itself have any specific configuration settings or modes I might have missed that could enforce raw data output instead of simulating dialogue? (I've looked through the settings but found nothing obvious). 3. If forcing the AI Agent to behave is unreliable, are there recommended n8n workflow designs or alternative nodes to perhaps clean up the AI's output (remove the prefix text) before it reaches the Structured Output Parser?
0 likes • Apr 16
@Chirag Chhita Perhaps this is a better choice, I currently only need it to categorize keywords for SEO
0 likes • Apr 16
@Mirko Salzer
Let’s Work Together SaaS Business Owners.
Hey everyone! I'm currently open to new opportunities and looking to work with SaaS companies that want to scale smarter—not just louder. I’ve built a custom email outreach agent that sends fully personalized emails to your leads, using their LinkedIn bios to tailor each message like it was handcrafted. Think of it as AI-powered outreach that actually feels human. ✅ Super targeted ✅ High reply rates ✅ Way more affordable than the $100s–$1000s/month email tools that still send static messages. If you’re tired of generic email blasts and want something that actually connects with your prospects, let’s chat. 📩 DM me or drop a comment—I’d love to show you how this works!
0 likes • Apr 16
It sounds great, I'm quite interested. Could you share it? This is my email: heiyangjian@outlook.com
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