This article provides a complete, practical walkthrough of the Gmail Stickynote Send Triggered n8n agent. It connects Gmail Trigger across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between Gmail Trigger, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• Gmail Trigger

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Automating Email Classification with n8n and Google Gemini: A Smarter Inbox for Educators
   
   Meta Description:
   Discover how a powerful n8n workflow leverages Gmail, Google Gemini, and AI models to classify and label emails intelligently. Streamline your inbox with real-time automation tailored for school professionals.
   
   Keywords:
   n8n, email automation, Gmail workflow, Google Gemini, AI email classification, education technology, Gmail label automation, language models, email sorting, school admin tools
   
   Third-Party APIs Used:
   
   1. Gmail Trigger (n8n-nodes-base.gmailTrigger) – for detecting new incoming emails.
   2. Gmail API (OAuth2) – for reading, labeling, and drafting emails.
   3. Google Gemini API – for AI-powered text classification using language models.
   4. LangChain Agent (with AI model integrations) – for potential automated email reply composition (currently disabled).
   5. Groq (Meta LLaMA 4 model integration) – another large language model option (also disabled).
   
   Article:
   
   Automating Email Classification with n8n and Google Gemini: A Smarter Inbox for Educators
   
   Managing a crowded inbox can be daunting, especially for school professionals balancing communication with students, parents, and staff. But what if your email could sort itself? What if high-priority messages were flagged instantly, school-related emails were grouped together, and newsletters were automatically categorized — all using automation and artificial intelligence?
   
   A new n8n workflow, titled “(G) - Email Classification,” offers just that. With integrations powered by Gmail, Google Gemini, and language processing tools like LangChain, this smart setup brings AI-enhanced organization to your inbox — saving time, reducing stress, and ensuring nothing important slips through the cracks.
   
   Let’s explore how this email classification workflow works, what technologies it uses, and how it can change the way educators and administrators manage communication.
   
   The Workflow at a Glance
   
   The workflow's core functionality is to monitor incoming Gmail messages, classify them using large language models (LLMs), and apply the most relevant label based on context. Here's how it works step-by-step:
   
   1. Gmail Trigger: Keeping Watch on Incoming Mail
   
   The process begins with the Gmail Trigger node, which checks the inbox every minute. This ensures that new messages are detected in near real-time, setting the stage for automated handling.
   
   2. Classification Agent: Assigning Emails to Categories with AI
   
   Once a new email is received, the text is passed to a “Classification Agent” node powered by LangChain. This component uses a language model to examine the email’s content and classify it into one of the following predefined categories:
   
   - High Priority: Time-sensitive messages requiring urgent attention (e.g., "urgent", "ASAP", "deadline").
   - KS Work Related: Emails related to Kajonkietsuksa School activities or staff.
   - Promotion: Marketing newsletters, offers, or campaign updates.
   - Other: Unclassified messages or ones that don’t fit in the above.
   
   The classifier uses finely tuned instructions, context, and keyword matching to make intelligent labeling decisions.
   
   3. Google Gemini Integration: Powering the Classifier Intelligence
   
   The classification engine is powered by the newest Gemini language model (gemini-2.0-flash-001) from Google. Gemini’s superior contextual understanding ensures that even subtle cues in an email are interpreted correctly. The model is accessed through n8n’s LangChain node and connected with user credentials via the Google PaLM API.
   
   4. Dynamic Gmail Labeling Based on the Result
   
   Depending on the result of the classification step, the email is passed to one of three specialized “Gmail” nodes which add a corresponding label. Examples:
   - "Label_3750994713301985229" for High Priority
   - "Label_4956837555783205638" for KS Work Related
   - "Label_4917715854276709190" for Promotion
   
   This automatic labeling brings instant clarity to the inbox, allowing users to sort and act on emails more efficiently.
   
   5. (Optional) Reply Automation: Coming Soon?
   
   While currently disabled, the workflow includes nodes designed to generate polite and professional email replies using the LangChain "AI Agent" and LLaMA 4 Groq models. With a customized system prompt that reflects the tone and responsibilities of an educator at Kajonkietsuksa School, the agent is built to draft responses in a consistent, courteous style.
   
   This feature hints at future enhancements where the system won’t just sort emails — it may help reply to them too.
   
   Customization & Flexibility
   
   The workflow is heavily commented with sticky notes that guide users through setup and customization:
   
   - Change Gmail credentials and enable OAuth2 access.
   - Train the classifier with your own categories using keywords.
   - Modify or expand the email labels tied to specific scenarios (e.g., student emergencies or administrative notices).
   
   This modular framework means the system can be adapted for use in any organization, not just schools. You could create categories for clients, financial emails, project updates, or whatever best serves your needs.
   
   Why This Workflow Matters for Educators
   
   Educational administrators face a heavy volume of communication — from parents, students, teachers, and vendors. By automating email classification, they can:
   
   - Focus on high-priority messages without digging through clutter.
   - Keep school-related conversations centralized and trackable.
   - Filter out promotional material and newsletters.
   - Prepare (or even generate) professional replies that save hours.
   
   This email automation isn’t about replacing human effort — it’s about amplifying it. By offloading the routine task of email sorting to AI, professionals can recapture time for work that truly matters: student success and school leadership.
   
   Conclusion
   
   Incorporating n8n with Gmail and Gemini showcases the power of open-source workflow automation augmented by modern AI. This project provides a functional, real-world solution that educational institutions can implement today to dramatically improve their communication workflows.
   
   The future of work — and schooling — is automated, intelligent, and empowering. With tools like this, your inbox starts working for you.
   
   Try the workflow. Tweak it. Train it. And transform the way you handle email forever.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.