This article provides a complete, practical walkthrough of the Splitout Filter Send Webhook n8n agent. It connects HTTP Request, Webhook 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 HTTP Request, Webhook, 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

• HTTP Request
• Webhook

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:
   Automated Email Reply Drafting with GPT-4 and Fastmail Using n8n
   
   Meta Description:
   Discover how to automate email reply drafting using GPT-4, Fastmail, and n8n. This powerful workflow reads unread emails, generates personalized responses with OpenAI, and saves drafts to your Fastmail account.
   
   Keywords:
   email automation, GPT-4, Fastmail, OpenAI, AI email reply, n8n workflow, JMAP API, IMAP, automated email response, draft emails, Gmail alternative, productivity automation
   
   Third-party APIs Used:
   
   - Fastmail JMAP API
   - OpenAI API (GPT-4)
   - IMAP Email Protocol (via n8n)
   
   Article:
   
   Automated Email Reply Drafting with GPT-4 and Fastmail Using n8n
   
   In today's fast-paced communication landscape, managing a flood of incoming emails can become overwhelming. What if you could automatically generate intelligent, contextually relevant replies to your unread emails and store them as drafts for later review? That’s precisely what this n8n workflow accomplishes—by combining the power of Fastmail, OpenAI’s GPT-4, and the flexible automation platform n8n.
   
   Let’s break down how this workflow works, the tools behind it, and how it can dramatically streamline your email management process.
   
   The Purpose
   
   This workflow's main goal is to automate the generation of email reply drafts. It monitors incoming unread emails, analyzes message content using GPT-4, and creates a draft reply in your Fastmail account—all without lifting a finger.
   
   Workflow Overview
   
   Here’s how the flow works step-by-step:
   
   1. Email Monitoring via IMAP:
   The workflow starts by continuously listening to your email inbox using the IMAP protocol. It filters for new, unread messages (tagged as "UNSEEN") and downloads any attachments for completeness.
   
   2. Extracting Relevant Email Fields:
   Once an unread email is detected, the workflow extracts key fields from the email, such as:
      - plain text body,
      - sender information,
      - subject line,
      - and metadata including message ID and reply-to addresses.
   
   These fields form the input data for generating the AI-powered response.
   
   3. AI Response Generation with GPT-4:
   Using the extracted content, the workflow prompts OpenAI’s GPT-4 model to generate a natural, contextually appropriate reply. The prompt includes custom instructions to match tone, formality (e.g., Sie/Du in German correspondence), and greetings or sign-offs depending on the original message content.
   
   OpenAI returns a concise, friendly draft response text, which is then prepared for inclusion in your email platform.
   
   4. Fastmail Session Initialization:
   To interact with your Fastmail account programmatically, the workflow connects to the Fastmail JMAP (JSON Meta Application Protocol) API. It starts by retrieving a session object, which includes user credentials and account-specific identifiers.
   
   5. Retrieving Mailbox IDs:
   With session data in hand, n8n sends another API call to Fastmail to retrieve mailbox details—specifically looking for the mailbox marked with the role “drafts”.
   
   6. Filtering for Drafts Folder:
   The workflow filters through the list of mailbox IDs to locate the Drafts folder, which is where the response email will be saved.
   
   7. Preparing the Draft:
   The workflow then compiles:
      - the GPT-4-generated message text,
      - correct recipient and reply-to addresses,
      - message metadata like reference and message ID, and
      - the subject line (prefixed with "Re:").
   
   8. Uploading to Fastmail:
   Finally, using the Fastmail JMAP API again, the workflow uploads the draft message to the Drafts mailbox, retaining important threading information by including “inReplyTo” and “references” fields.
   
   Why This Workflow Is Powerful
   
   - Hands-Off Email Drafting: Let AI handle the first draft of your emails, so you only need to review and hit “send.”
   - Multilingual and Formality-Aware Responses: The workflow preserves cultural and linguistic norms (e.g., Du vs. Sie in German), making your replies contextually appropriate.
   - Full Control with Manual Oversight: Since the response is saved as a draft, you maintain control without risking errant auto-replies.
   - Cloud-Native and Secure: Integrates seamlessly with Fastmail, a privacy-respecting email provider, via secure API calls.
   
   Prerequisites
   
   To use this workflow, you’ll need the following:
   
   - An IMAP-compatible email account (e.g., Gmail, Fastmail, etc.).
   - A Fastmail account with API access enabled and JMAP support.
   - An OpenAI API key (with access to GPT-4).
   - A configured instance of n8n, either self-hosted or cloud-based.
   
   Third-Party APIs Utilized
   
   1. Fastmail JMAP API – Used to get session data, mailbox IDs, and upload the drafted email to the Drafts folder.
   2. OpenAI API – GPT-4 model is used to analyze the incoming email and compose a casual yet professional draft response.
   3. IMAP Protocol – Supports listening for unread messages in the email inbox.
   
   Efficiency Meets Intelligence
   
   This n8n workflow is an ideal automation setup for freelancers, small business owners, or anyone who deals with a large volume of email communications. Automating your typical email responses saves time and boosts productivity while still allowing for human oversight before sending anything.
   
   Moreover, because n8n is open-source and highly customizable, this workflow can be further enhanced to handle attachments, integrate with CRMs, or even send follow-up reminders based on replies.
   
   Conclusion
   
   Whether you're a solopreneur managing client queries or a tech-savvy enthusiast exploring email automation, this workflow demonstrates how deeply powerful modern automation tools can be—when combined creatively. By blending n8n’s modular automation, Fastmail’s robust API, and OpenAI’s natural language power, you can elevate how your inbox works for you.
   
   Welcome to the future of smart email management.

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.