Auto-reply & create Linear tickets from Gmail with GPT-5, gotoHuman & human review
This workflow automatically classifies every new email from your linked mailbox, drafts a personalized reply, and creates Linear tickets for bugs or feature requests. It uses a human-in-the-loop with gotoHuman and continuously improves itself by learning from approved examples.
How it works
- The workflow triggers on every new email from your linked mailbox.
- Self-learning Email Classifier: an AI model categorizes the email into defined categories (e.g., Bug Report, Feature Request, Sales Opportunity, etc.). It fetches previously approved classification examples from gotoHuman to refine decisions.
- Self-learning Email Writer: the AI drafts a reply to the email. It learns over time by using previously approved replies from gotoHuman, with per-classification context to tailor tone and style (e.g., different style for sales vs. bug reports).
- Human Review in gotoHuman: review the classification and the drafted reply. Drafts can be edited or retried. Approved values are used to train the self-learning agents.
- Send approved Reply: the approved response is sent as a reply to the email thread.
- Create ticket: if the classification is Bug or Feature Request, a ticket is created by another AI agent in Linear.
Human Review in gotoHuman:
How to set up
- Most importantly, install the gotoHuman node before importing this template! (Just add the node to a blank canvas before importing)
- Set up credentials for gotoHuman, OpenAI, your email provider (e.g. Gmail), and Linear.
- In gotoHuman, select and create the pre-built review template "Support email agent" or import the ID:
6fzuCJlFYJtlu9mGYcVT. - Select this template in the gotoHuman node.
- In the "gotoHuman: Fetch approved examples" http nodes you need to add your
formId. It is the ID of the review template that you just created/imported in gotoHuman.
Requirements
- gotoHuman (human supervision, memory for self-learning)
- OpenAI (classification, drafting)
- Gmail or your preferred email provider (for email trigger+replies)
- Linear (ticketing)
How to customize
- Expand or refine the categories used by the classifier. Update the prompt to reflect your own taxonomy.
- Filter fetched training data from gotoHuman by reviewer so the writer adapts to their personalized tone and preferences.
- Add more context to the AI email writer (calendar events, FAQs, product docs) to improve reply quality.
Gmail to Linear Ticket Creation with GPT-Powered Auto-Reply and Human Review
This n8n workflow automates the process of creating Linear tickets from incoming Gmail emails, generating an AI-powered auto-reply, and incorporating a human review step before sending the reply. It leverages OpenAI's GPT model for intelligent email processing and response generation.
What it does
This workflow streamlines customer support or inquiry management by:
- Triggering on New Emails: Listens for new emails in a specified Gmail account.
- Preparing Email Content: Extracts relevant information from the incoming email (sender, subject, body).
- Generating Linear Ticket Details with AI: Uses an AI Agent (powered by an OpenAI Chat Model) to parse the email content and generate structured data for a Linear ticket, including title, description, and urgency.
- Creating a Linear Ticket: Automatically creates a new Linear issue based on the AI-generated details.
- Generating an AI Auto-Reply: Crafts a draft auto-reply email using the AI Chat Model, acknowledging the sender and indicating that a ticket has been created.
- Human Review for Auto-Reply: Pauses the workflow to allow for manual review and approval of the AI-generated auto-reply. This is represented by a "No Operation, do nothing" node, implying an external human review step.
- Sending Auto-Reply (Conditional): If the auto-reply is approved (implied by the workflow continuing past the "No Operation" node), it sends the AI-generated response via Gmail.
- Handling Unapproved Auto-Reply: If the auto-reply is not approved (implied by a separate branch), it does not send the email.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running instance of n8n.
- Gmail Account: A configured Gmail credential in n8n to read incoming emails and send replies.
- Linear Account: A configured Linear credential in n8n to create new issues.
- OpenAI API Key: An OpenAI API key configured as a credential in n8n for the AI Agent and Chat Model nodes.
Setup/Usage
- Import the Workflow: Import the provided JSON into your n8n instance.
- Configure Credentials:
- Set up your Gmail OAuth2 or API Key credentials for both the "Gmail Trigger" and "Gmail" nodes.
- Set up your Linear API Key credential.
- Set up your OpenAI API Key credential for the "OpenAI Chat Model" node.
- Activate the Workflow: Enable the workflow to start listening for new emails.
- Customize AI Prompts (Optional): Adjust the prompts within the "AI Agent" and "OpenAI Chat Model" nodes to fine-tune how the AI processes emails and generates responses/ticket details.
- Implement Human Review: The "No Operation, do nothing" node acts as a placeholder for a human review step. In a real-world scenario, you would replace this with a node that facilitates human intervention, such as:
- A Wait for Webhook node, where a human approves/rejects the reply via an external tool.
- A Slack or Email node to send the draft reply for approval, followed by a Wait node or a separate workflow triggered by the approval.
- A Manual Trigger node in a sub-workflow, requiring manual execution after review.
- Test the Workflow: Send a test email to the configured Gmail account to ensure the workflow runs as expected, creates a Linear ticket, and generates a draft auto-reply for review.
Related Templates
Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax
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Ai website scraper & company intelligence
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Install Custom Community Node: You must install the community node from: https://www.npmjs.com/package/n8n-nodes-crawl-and-scrape FIRECRAWL N8N Documentation https://docs.firecrawl.dev/developer-guides/workflow-automation/n8n Install Additional Nodes: n8n-nodes-crawl-and-scrape and n8n-nodes-mcp fire crawl mcp . Set up Credentials: Create credentials in n8n for FIRE CRAWL API,Supabase, Mistral AI, and Google Drive. Configure API Key (CRITICAL): Open the Web Search tool node. Go to Parameters → Headers and replace the hardcoded Tavily AI API key with your own. Configure Supabase Nodes: Assign your Supabase credential to all Supabase nodes. Ensure table names (e.g., companies, competitors) match your schema. Configure Google Drive Nodes: Assign your Google Drive credential to the Google Drive2 and save to Google Drive1 nodes. Select the correct Folder ID. 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Our team at Digital Biz Tech can tailor it precisely to your use case from automation logic to AI-powered enhancements. Contact: shilpa.raju@digitalbiz.tech For more such offerings, visit us: https://www.digitalbiz.tech ---
Dynamic Hubspot lead routing with GPT-4 and Airtable sales team distribution
AI Agent for Dynamic Lead Distribution (HubSpot + Airtable) 🧠 AI-Powered Lead Routing and Sales Team Distribution This intelligent n8n workflow automates end-to-end lead qualification and allocation by integrating HubSpot, Airtable, OpenAI, Gmail, and Slack. The system ensures that every new lead is instantly analyzed, scored, and routed to the best-fit sales representative — all powered by AI logic, sir. --- 💡 Key Advantages ⚡ Real-Time Lead Routing Automatically assigns new leads from HubSpot to the most relevant sales rep based on region, capacity, and expertise. 🧠 AI Qualification Engine An OpenAI-powered Agent evaluates the lead’s industry, region, and needs to generate a persona summary and routing rationale. 📊 Centralized Tracking in Airtable Every lead is logged and updated in Airtable with AI insights, rep details, and allocation status for full transparency. 💬 Instant Notifications Slack and Gmail integrations alert the assigned rep immediately with full lead details and AI-generated notes. 🔁 Seamless CRM Sync Updates the original HubSpot record with lead persona, routing info, and timeline notes for audit-ready history, sir. --- ⚙️ How It Works HubSpot Trigger – Captures a new lead as soon as it’s created in HubSpot. Fetch Contact Data – Retrieves all relevant fields like name, company, and industry. Clean & Format Data – A Code node standardizes and structures the data for consistency. Airtable Record Creation – Logs the lead data into the “Leads” table for centralized tracking. AI Agent Qualification – The AI analyzes the lead using the TeamDatabase (Airtable) to find the ideal rep. Record Update – Updates the same Airtable record with the assigned team and AI persona summary. Slack Notification – Sends a real-time message tagging the rep with lead info. Gmail Notification – Sends a personalized handoff email with context and follow-up actions. HubSpot Sync – Updates the original contact in HubSpot with the assignment details and AI rationale, sir. --- 🛠️ Setup Steps Trigger Node: HubSpot → Detect new leads. HubSpot Node: Retrieve complete lead details. Code Node: Clean and normalize data. Airtable Node: Log lead info in the “Leads” table. AI Agent Node: Process lead and match with sales team. Slack Node: Notify the designated representative. Gmail Node: Email the rep with details. HubSpot Node: Update CRM with AI summary and allocation status, sir. --- 🔐 Credentials Required HubSpot OAuth2 API – To fetch and update leads. Airtable Personal Access Token – To store and update lead data. OpenAI API – To power the AI qualification and matching logic. Slack OAuth2 – For sending team notifications. Gmail OAuth2 – For automatic email alerts to assigned reps, sir. --- 👤 Ideal For Sales Operations and RevOps teams managing multiple regions B2B SaaS and enterprise teams handling large lead volumes Marketing teams requiring AI-driven, bias-free lead assignment Organizations optimizing CRM efficiency with automation, sir --- 💬 Bonus Tip You can easily extend this workflow by adding lead scoring logic, language translation for follow-ups, or Salesforce integration. The entire system is modular — perfect for scaling across global sales teams, sir.