This article provides a complete, practical walkthrough of the Splitout Code Automation Scheduled 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 Discord Moderation Using AI and Human-in-the-Loop with n8n
   
   **Meta Description:**  
   Explore how to automate spam detection and moderation in Discord using an AI-powered n8n workflow with human-in-the-loop decision-making. Learn how this smart integration balances automation and human control for community management.
   
   **Keywords:**
   - n8n
   - Discord bot
   - automated moderation
   - AI spam detection
   - human-in-the-loop
   - OpenAI moderation
   - LangChain text classifier
   - Discord message filter
   - workflow automation
   - community management
   
   ---
   
   **Article:**
   
   ### AI Meets Moderation: Automating Discord Spam Detection with n8n
   
   Moderating an active Discord community can be a daunting task. Between genuine conversations and spammy promotions, moderators often find themselves working overtime to maintain a safe and friendly space. Enter n8n, a powerful open-source workflow automation platform that allows teams to easily automate repetitive tasks—including server moderation—thanks to its seamless integration with APIs and AI tools. 
   
   This article explores an n8n workflow that combines automation with human oversight to streamline spam moderation on Discord. By integrating AI text classification, user grouping logic, and moderator decision-making, this template ensures that spam is dealt with swiftly and consistently—without removing human judgment from the equation.
   
   ---
   
   ### How This Workflow Works
   
   The goal of the workflow is to detect spam messages in a designated Discord channel and take predefined actions based on moderator input. Let’s walk through its key stages:
   
   #### 1. Scheduled Message Retrieval
   
   The process begins with a Schedule Trigger that executes the workflow at defined intervals, for example, hourly. It fetches the latest messages from a specific Discord channel using the Discord Bot API. A "Remove Duplicates" node ensures only new, unseen messages are considered.
   
   #### 2. Message Grouping by Users
   
   Messages are grouped by their authors using a Code node. Grouping helps analyze spam behavior on a per-user basis and prevents flooding moderators with multiple notifications for repeated content.
   
   #### 3. AI-Powered Spam Detection
   
   At the heart of the workflow is a LangChain-powered text classification node embedded into n8n. This node uses OpenAI’s language model to determine if each message is spam or not. The classifier works by evaluating the message’s content against two categories: 
   - `is_spam`: promotional or sales content meant to redirect users elsewhere 
   - `is_not_spam`: legitimate or unharmful discussion
   
   Depending on the result, the message is flagged accordingly for later decision-making.
   
   #### 4. Message Filtering
   
   Only messages flagged as spam are carried forward. If no spam is detected for a particular user, the workflow skips to the next group. Otherwise, the workflow proceeds to involve human moderators.
   
   #### 5. Human-in-the-Loop Moderation
   
   When spam is detected, the workflow sends a summary of the suspicious messages to a private moderation channel on Discord. Here, a moderator receives a custom form with three predefined actions:
   1. Delete Message and Warn User
   2. Do Nothing and Warn User
   3. Do Nothing
   
   n8n’s “Send and Wait for Response” feature allows the workflow to pause until a decision is made by the moderator, ensuring no further action is taken automatically.
   
   #### 6. Moderation Action Execution
   
   Based on the selected action:
   - If “Delete Message and Warn User” is chosen, the messages are removed and the user is sent a detailed warning.
   - If “Do Nothing and Warn User” is selected, the user receives a gentler warning.
   - If “Do Nothing” is picked, the workflow ends for that session.
   
   This final action is handled using Discord's API to delete messages or send user notifications.
   
   ---
   
   ### Why Combine Automation with Human Moderation?
   
   While AI is highly effective at detecting patterns that signal spam, it can occasionally misinterpret messages. By involving human moderators in decision-making for flagged messages, the workflow strikes a crucial balance between speed and accuracy. The "human-in-the-loop" method allows you to:
   - Avoid false positives in moderation.
   - Ensure consistent enforcement of community standards.
   - Save time for moderators by only escalating questionable messages.
   
   ---
   
   ### Customization Tips
   
   You can fine-tune this workflow in several ways:
   - Adjust the schedule interval depending on your server’s activity volume.
   - Modify the AI text classification prompts for your community’s unique tone and policy.
   - Add extra moderation actions or enrich warning messages with more context.
   
   ---
   
   ### Third-Party APIs Used
   
   Here are the external APIs and integrations utilized in the workflow:
   - 🔗 **Discord Bot API** – for reading and modifying messages, sending mod alerts, and warning users.
   - 🤖 **OpenAI (via LangChain integration)** – for AI-based message categorization.
   - 🧠 **LangChain Text Classifier Node** – intelligently routes messages through the classification model.
   
   ---
   
   ### Wrapping Up
   
   This n8n template is a powerful example of how automation can be both intelligent and responsible. Designed with Discord communities in mind, it provides a scalable moderation system that reduces human workload while maintaining control and clarity in decision-making. Whether you’re managing a small chat group or a bustling server, adopting AI-powered moderation with human oversight brings efficiency and community trust to the forefront.
   
   Implement it, tweak it, and let your server do the talking—without the spam.
   
   ---
   
   Need help getting started with n8n? Join the official [n8n Discord](https://discord.com/invite/XPKeKXeB7d) or drop a question in the [n8n Forum](https://community.n8n.io/).

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.