(5/5)

Textclassifier Workflow

Automated workflow: Textclassifier Workflow. This workflow integrates 18 different services: textClassifier, filter, stickyNote, code, scheduleTrigger. It contains 36 nodes and follows best practices for error handling and security.

Integrations Used (3)

Discord

Executeworkflow

Schedule

Workflow Structure (24 nodes)

100%

Schedule Trigger

Discord

Get Recent Messages

Remove Duplicates

Only Once

Code

Group By User

Split Out

Split In Batches

For Each User...

Code

Message to List

No Op

Model

No Op

Spam Detection

Set

Flag as Spam

Set

Flag as Not Spam

Merge

Stop And Error

Error Handler

Filter

Spam Messages Only

Has Flagged Messages?

Execute Workflow

Moderation Subworkflow

Execute Workflow Trigger

When Executed by Another Workflow

Discord

Notify Moderators with Send & Wait

Switch

Receive Instructions

Discord

Warn User Only

Code

Get Message IDs

No Op

No Action Taken

Discord

Delete Messages

Discord

Warn User

Node Types:

default

action

transform

code

logic

trigger

Requires credentials

Prerequisites

Required Credentials (2)

Discord Bot

Used by: Get Recent Messages, Warn User +3 more

Docs

OpenAI

Used by: Model

Docs

Complexity

Advanced

Expert level. Custom code, complex logic, many integrations.

Setup time: ~45 min

Score: 85/100

Custom Code

Conditional Logic

Loops

8 Integrations

When to Use This Workflow

Team Notifications

Send automated alerts and updates to your team chat when important events occur.

Never miss critical updates - your team stays informed in real-time.

Scheduled Operations

Run automated tasks at specific times - daily reports, weekly cleanups, monthly backups.

Set it and forget it - reliable automation that runs on your schedule.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

workflow.json

{
  "meta": {
    "instanceId": "workflow-1cf57416",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:53.343047",
    "updatedAt": "2025-09-29T07:07:53.343059",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "nodes": [
    {
      "id": "59b7eed3-8622-4722-b93f-f225cc0aa4e0",
      "name": "Spam Detection",
      "type": "n8n-nodes-base.noOp",
      "position": [
        260,
...