Grade cold outreach emails and generate an HTML report with OpenAI GPT-4.1
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 10 nodes and runs when someone submits an n8n form (“Cold Email Outreach Quality Auditor”). Along the way it connects OpenAI Chat Model.
How it runs
Trigger: When someone submits an n8n form (“Cold Email Outreach Quality Auditor”).
- Map Form Fields (Code): runs custom JavaScript code
- Long Enough? (If): checks a condition and branches into true / false
- Prepare Input (Code): runs custom JavaScript code
- Too Short - Error Response (n8n Form): shows the next form page
- Grade Email (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI Chat Model; output parser: Grade Schema
- Build HTML Report (Code): runs custom JavaScript code
- Send Report (n8n Form): shows the next form page
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (7)
- n8n Form Trigger
n8n-nodes-base.formTrigger - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - n8n Form
n8n-nodes-base.form - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm
From the author
Quick overview This workflow collects a cold email subject and body via an n8n Form, validates the input, and uses OpenAI to generate a structured A–F quality grade with copy and deliverability feedback, returning the results as a formatted HTML report. How…