Category: n8n Workflows

What This Workflow Does

This n8n workflow automates professional replies to tweets on X (formerly Twitter) using artificial intelligence. The system monitors specified topics, generates contextually relevant responses, and posts them automatically on a scheduled basis. By default, the workflow runs every 3 days and processes up to 10 topics per month, helping you maintain an active social media presence without manual intervention.

How It Works

The workflow operates through a series of coordinated nodes that handle scheduling, data processing, and AI-powered content generation. Here is the step-by-step process:

• A schedule trigger initiates the workflow every 3 days (configurable to daily if needed)
• The system waits for optimal timing before proceeding to the next steps
• Topics are split into batches for efficient processing
• A code node sets up variables and parameters for the current batch
• OpenAI generates professional, contextually appropriate tweet replies
• The Twitter node posts the generated replies to your X account
• Sticky notes provide documentation and configuration guidance throughout the workflow

Use Cases

• Social media managers automating brand engagement across multiple industry topics without daily oversight
• Content creators maintaining consistent Twitter presence while focusing on primary business activities
• Business development professionals responding to leads and industry conversations automatically
• Customer service teams addressing common inquiries and feedback on social media platforms
• Thought leaders building authority by participating in trending conversations within their niche

Nodes Used

• Manual Trigger: Allows manual workflow execution for testing and immediate deployment
• Schedule Trigger: Automatically starts the workflow on a recurring 3-day schedule
• Wait: Introduces delays to optimize posting times and avoid rate limits
• Split in Batches: Divides topics into manageable groups for efficient processing
• Set: Configures and initializes variables needed for the workflow
• Code: Contains custom logic for scheduling adjustments and variable management
• OpenAI: Generates intelligent, professional tweet replies using artificial intelligence
• Twitter: Posts generated replies directly to your X account
• Sticky Note: Provides inline documentation and configuration instructions

Prerequisites

• An active n8n instance (self-hosted or cloud-based account)
• A verified X (Twitter) account with API access enabled
• OpenAI API key for GPT language model access
• Twitter API credentials configured in n8n (API key and secret)
• Understanding of JSON for potential customization of reply parameters
• Knowledge of cron scheduling syntax if modifying the trigger schedule

Difficulty Level

This workflow is suitable for intermediate n8n users. While the basic setup requires minimal configuration, customizing the schedule, topics, and reply tone requires familiarity with workflow logic and API integration. Users with basic automation experience can deploy the template as-is, while advanced users can modify the code node and AI prompts for specific use cases.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

The Vendor Risk Evaluator is an automated governance, risk, and compliance (GRC) module that assesses and evaluates vendor risk profiles using artificial intelligence. This workflow streamlines the vendor evaluation process by collecting vendor information, analyzing risk factors, and generating comprehensive risk assessments that are logged and distributed to relevant stakeholders.

How It Works

The workflow begins when a webhook receives vendor evaluation requests. The data is sent to OpenAI for intelligent risk analysis and scoring based on vendor credentials, financial stability, security practices, and compliance certifications. Conditional logic routes the evaluation results based on risk level classifications. Risk assessments are automatically saved to Google Sheets for record-keeping and audit trails. High-risk vendors trigger email notifications to relevant team members, while all evaluations are documented for future reference and compliance documentation.

Use Cases

• Enterprise procurement teams evaluating third-party vendors before contract approval and onboarding
• Compliance departments conducting annual vendor risk reassessments and maintaining audit documentation
• Supply chain managers identifying vendors requiring enhanced due diligence or remediation plans
• Financial institutions assessing counterparty risks and regulatory compliance requirements
• Healthcare organizations evaluating HIPAA compliance and data security standards for vendor partners

Nodes Used

• Webhook: Receives incoming vendor evaluation requests and triggers the workflow
• OpenAI: Analyzes vendor information and generates risk scores and assessment summaries
• If: Routes workflow execution based on risk level and evaluation criteria
• Set: Structures and formats the risk assessment data for downstream processes
• Google Sheets: Stores vendor evaluations, risk scores, and compliance records in a centralized spreadsheet
• Gmail: Sends risk assessment notifications and alerts to relevant stakeholders
• Sticky Note: Provides workflow documentation and implementation notes

Prerequisites

• Active n8n instance with webhook functionality enabled
• OpenAI API key with access to GPT models for risk analysis
• Google Sheets account with appropriate sharing and edit permissions
• Gmail account or organizational email service configured for notifications
• Vendor database or information source to feed into the evaluation workflow
• Defined risk scoring criteria and vendor evaluation frameworks
• Team members designated to receive and act on risk assessment notifications

Difficulty Level

Intermediate. This workflow requires basic familiarity with n8n node configuration, OpenAI API integration, and Google Sheets connection setup. Users should understand conditional logic flows and have access to configure webhook endpoints and email notifications. Some customization of the risk assessment prompts and scoring criteria may be necessary to align with organizational compliance standards.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

The Twitter MCP Post Scheduler is an automated workflow that manages and schedules Twitter posts at optimal times. It processes batches of tweets, uses AI to enhance content, stores scheduling data in a database, and sends notifications through Slack when posts are published.

How It Works

The workflow begins with a scheduled trigger that initiates the process at specified intervals. It processes tweet content through a function node, then splits the data into manageable batches. An AI agent evaluates and refines the tweet content using OpenAI’s language model. The enhanced tweets are stored in a MySQL database for record-keeping. The workflow pauses at specified intervals using the wait node, then publishes tweets via the Twitter API. Finally, Slack notifications confirm successful posting and provide performance metrics.

Use Cases

• Social Media Management: Marketing teams can schedule multiple tweets in advance and automate the posting process across different time zones.
• Content Optimization: Use AI to analyze and improve tweet engagement by refining messaging before publication.
• Batch Publishing: Process large volumes of pre-written tweets efficiently without manual intervention.
• Performance Tracking: Store all scheduled and published tweets in a database for analytics and campaign measurement.
• Team Coordination: Send Slack notifications to team members when tweets are published, keeping everyone informed of social media activity.

Nodes Used

• Schedule Trigger: Initiates the workflow at predetermined times or intervals.
• Function: Processes and prepares tweet data for batch processing.
• Split In Batches: Divides tweets into smaller groups for efficient processing.
• AI Agent: Evaluates workflow logic and determines optimal actions.
• LM Chat OpenAI: Enhances tweet content using artificial intelligence.
• MCP Client Tool: Integrates with external tools and services.
• MySQL: Stores tweet data and scheduling records in a database.
• Wait: Introduces delays between processing steps to control timing.
• Twitter: Posts tweets to your Twitter account.
• Slack: Sends notifications and status updates to Slack channels.
• Code: Custom JavaScript for data transformation and logic.

Prerequisites

• Active Twitter API credentials with write access permissions.
• OpenAI API key for AI-powered content enhancement.
• MySQL database with appropriate tables for storing tweet data.
• Slack workspace with bot integration enabled.
• n8n instance with access to all required nodes and integrations.
• Pre-written tweet content or a data source to feed into the workflow.

Difficulty Level

Advanced. This workflow combines multiple integrations, database operations, and AI processing. Users should have experience with n8n, API authentication, database management, and potentially some JavaScript knowledge for custom code modifications.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

The Verified Visitor Pass Generator is an automated system designed for coworking spaces, offices, and secure facilities to create professional digital and printable visitor passes in real-time. The workflow handles visitor registration, email verification, pass generation, and notification distribution across multiple channels including email, Slack, and Google Sheets logging.

How It Works

When a visitor requests access, the workflow triggers through a webhook endpoint. The system immediately verifies the visitor’s email address to prevent fraudulent entries. Upon successful verification, it generates a professional branded badge using HTML to image conversion technology. The system then distributes the pass via email to the visitor, notifies staff through Slack, and records all details in Google Sheets for audit purposes. The entire process completes in approximately 30 seconds.

Use Cases

• Corporate offices managing daily visitor check-ins and pass distribution
• Coworking spaces automating member guest access and temporary passes
• Event venues generating attendee credentials and access badges
• Real estate agencies creating showing appointments with verified client passes
• Educational institutions managing campus visitor authentication and badge generation

Nodes Used

• Webhook: Receives visitor pass requests from external systems or forms
• VerifiEmail: Validates email addresses to prevent fraudulent submissions
• Set: Initializes and structures visitor data throughout the workflow
• If: Routes the workflow based on email verification results
• Code: Processes data transformation and conditional logic
• HTML CSS to Image: Converts HTML badge designs into professional printable images
• Gmail: Sends the generated pass to the visitor via email
• Slack: Notifies staff members of new visitor pass requests
• Google Sheets: Records all visitor data for compliance and audit trails
• Stop and Error: Halts workflow execution for invalid submissions
• Sticky Note: Provides workflow documentation and notes

Prerequisites

• Active n8n instance with webhook capabilities enabled
• Gmail account with app-specific password configured for SMTP access
• Slack workspace with bot integration permissions
• Google Sheets document for visitor data logging with appropriate sharing permissions
• HTML/CSS badge template design customized to your brand guidelines
• Valid email domain or verification service for email validation
• Webhook endpoint URL to expose to your visitor registration system

Difficulty Level

Intermediate. This workflow requires basic understanding of n8n node configuration, email setup, and spreadsheet integration. Users should have experience with webhook triggers and be comfortable customizing the HTML badge template to match their branding. No advanced coding knowledge is required, though JavaScript familiarity is helpful for customizing the data processing steps.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

This n8n workflow automates social media posting on Twitter (X) by combining artificial intelligence with spreadsheet management. The system automatically generates tweet content using an AI agent every 6 hours and posts it directly to your Twitter account without any manual intervention required.

How It Works

The workflow operates through a series of interconnected nodes that work together seamlessly:

• A scheduler trigger initiates the workflow automatically every 6 hours
• The AI agent node acts as the content creation brain, using OpenAI’s language model to generate engaging tweet content
• Memory buffer window maintains context between interactions for more coherent content generation
• Google Sheets integration stores and retrieves content ideas, hashtags, and posting schedules
• The Twitter node handles the actual posting of generated content to your X account
• Code nodes process and format data between different services

Use Cases

• Social media managers can maintain consistent posting schedules across multiple Twitter accounts without daily manual effort
• Content creators can generate and post regular updates about their niche topics automatically while maintaining a human-like tone
• Businesses can keep their Twitter presence active during off-hours by scheduling AI-generated promotional and informational tweets
• Marketing teams can test different messaging strategies by storing variations in Google Sheets and letting the AI select and post them
• News aggregators and bloggers can automatically share relevant content updates with their followers on a fixed schedule

Nodes Used

• Schedule Trigger – Sets the automatic 6-hour interval for workflow execution
• AI Agent (@n8n/agent) – Manages intelligent decision-making and content generation orchestration
• LM Chat OpenAI (@n8n/lmChatOpenAi) – Provides the language model for generating tweet content
• Memory Buffer Window (@n8n/memoryBufferWindow) – Maintains conversation context and history
• Twitter Node – Authenticates and posts content directly to your Twitter account
• Google Sheets Tool – Enables reading and writing data to your spreadsheets
• Google Sheets Node – Additional sheet operations and data management
• Code Node – Custom JavaScript processing for data transformation and formatting
• Sticky Note – Documentation and notes within the workflow canvas

Prerequisites

• An active n8n account with workflow building capabilities
• A Twitter/X developer account with API access and authentication credentials
• An OpenAI API key for accessing GPT language models
• A Google account with access to Google Sheets and appropriate API permissions
• A Google Sheet prepared with your content ideas, topics, or tweet templates
• Basic understanding of n8n workflow concepts and node configuration

Difficulty Level

Intermediate. This workflow requires knowledge of API authentication, node configuration, and prompt engineering for AI models. Users should be comfortable connecting external services and understanding how data flows between nodes. However, the core workflow is pre-built, making implementation straightforward for those with prior n8n experience.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

This workflow automates content scheduling and posting to TikTok using the Postiz integration. It monitors Google Drive for content files, extracts information from them, generates captions using AI, and automatically publishes posts to TikTok with customizable settings including privacy levels, duet permissions, and stitch permissions.

How It Works

The workflow begins by monitoring Google Drive for new files or updates. When triggered, it extracts content information from the files using the information extraction node. The extracted data is then processed through an AI chat model to generate engaging TikTok captions. The workflow sets up the post parameters including title, privacy level, and interaction permissions. Finally, it sends the configured post to Postiz for scheduling and publishes it to your TikTok account.

Use Cases

• Content creators managing multiple TikTok accounts can schedule posts in bulk by uploading videos and metadata to Google Drive, eliminating manual posting requirements.
• Social media agencies can automate caption generation and post scheduling for multiple client accounts, maintaining consistent posting schedules across different time zones.
• Marketing teams can streamline video content distribution by connecting content planning documents in Google Drive directly to TikTok publishing pipelines.
• Content teams can batch-create posts with AI-generated captions while maintaining control over privacy settings and user interaction permissions per post.
• Influencers can schedule content in advance and customize engagement settings like duets and stitches for each post without manual intervention.

Nodes Used

• Google Drive Trigger: Monitors Google Drive for new files or changes
• Google Drive: Retrieves file content and metadata from Google Drive
• Information Extractor: Extracts structured data from documents and files
• Sticky Note: Stores temporary workflow notes and reminders
• Postiz: Handles TikTok post scheduling and publishing
• HTTP Request: Makes API calls for additional integrations
• Gmail: Sends email notifications about post status
• Set: Defines and manages workflow variables
• Split Out: Divides data into multiple branches for processing
• Filter: Applies conditions to control workflow execution
• LM Chat OpenAI: Generates AI-powered captions and content descriptions

Prerequisites

• An active n8n account with workflow automation access
• Google Drive account with files containing video content and metadata
• TikTok Creator Account connected through Postiz
• OpenAI API key for caption generation functionality
• Gmail account for receiving workflow notifications
• Video files organized in a designated Google Drive folder
• Understanding of TikTok privacy levels and permission settings

Difficulty Level

Intermediate. This workflow requires familiarity with n8n node configuration, API authentication, and understanding of TikTok content parameters. Users should be comfortable setting up Google Drive and OpenAI integrations, and configuring conditional logic through filters and data transformations.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

This n8n workflow automates the monitoring and analysis of Twitter content by collecting trending data, performing sentiment analysis using AI, and executing conditional actions based on the results. It combines real-time data collection with intelligent processing to help teams stay informed about social media trends and respond strategically.

How It Works

The workflow operates through a series of coordinated steps:

• A scheduled trigger initiates the workflow at specified intervals to ensure continuous monitoring
• Data is collected and split into batches for efficient processing using the splitInBatches node
• OpenAI’s language model performs sentiment analysis and content classification on each batch
• Structured output parsing organizes the analyzed data into a consistent format
• A conditional switch routes data based on sentiment scores or other criteria
• Results are automatically recorded in a Google Sheet for tracking and historical analysis
• Notifications are sent to Slack when specific conditions are met or thresholds are exceeded
• An AI agent can handle complex decision-making and trigger additional HTTP requests as needed

Use Cases

• Brand monitoring and reputation management by tracking sentiment around your company or products on Twitter
• Competitive intelligence gathering by analyzing how competitors and their products are being discussed
• Crisis detection and response by identifying negative sentiment spikes that require immediate attention
• Content strategy optimization by understanding which types of posts generate positive engagement and trending potential
• Influencer and audience insights by monitoring conversations from key industry figures and target demographics

Nodes Used

• scheduleTrigger: Initiates the workflow on a predetermined schedule for continuous monitoring
• splitInBatches: Divides large datasets into manageable chunks for efficient processing
• @n8n/openAi: Performs sentiment analysis and content understanding using GPT models
• @n8n/lmChatOpenAi: Provides advanced language model capabilities for nuanced analysis
• @n8n/outputParserStructured: Converts raw AI responses into structured, usable data formats
• switch: Routes workflow execution based on conditional logic and data values
• if: Implements simple conditional branching for decision points
• @n8n/agent: Enables autonomous decision-making and complex task execution
• googleSheets: Stores analyzed data in a spreadsheet for record-keeping and reporting
• slack: Sends notifications and alerts to team channels
• httpRequest: Makes API calls to external services and platforms
• set: Transforms and prepares data between workflow steps
• stickyNote: Provides workflow documentation and notes for team reference

Prerequisites

• An active n8n instance or n8n Cloud account with access to workflow creation
• OpenAI API key for accessing GPT models and sentiment analysis capabilities
• Twitter API access or Apify connector configured for data collection
• Google Sheets API credentials for storing and tracking results
• Slack workspace and webhook URL for receiving notifications
• Basic understanding of workflow automation and JSON data structures
• Familiarity with conditional logic and data transformation concepts

Difficulty Level

Advanced. This workflow combines multiple APIs, AI processing, and conditional logic. Users should be comfortable with authentication setup, data mapping, and troubleshooting integration issues. Intermediate n8n experience is recommended before implementing this template.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

This n8n workflow automates the complete video creation and distribution process. It captures voice input, transcribes it using AI, generates optimized titles and captions with GPT-5, creates a professional AI avatar video using HeyGen, and automatically publishes the final video across 9 social media platforms including YouTube, TikTok, and Instagram.

How It Works

The workflow follows a four-step automation pipeline:

• Step 1: Voice input is captured and transcribed using Blotato technology for accurate speech-to-text conversion
• Step 2: GPT-5 processes the transcription to generate compelling titles, captions, and video scripts optimized for engagement
• Step 3: HeyGen creates a professional AI avatar video using the generated script, complete with natural lip-sync and expressions
• Step 4: The finished video is automatically distributed across multiple social platforms for maximum reach and engagement

Use Cases

• Content Creators: YouTube creators can transform quick voice ideas into fully produced videos without manual editing or avatar costs
• Marketing Agencies: Generate multiple social media videos in minutes for client campaigns across TikTok, Instagram Reels, and YouTube Shorts
• Educators: Create tutorial and educational content with AI avatars for online courses and instructional videos
• E-commerce Businesses: Produce product demonstration and promotional videos for social selling without hiring videographers
• Podcast Hosts: Convert podcast episodes or voice memos into visual content for repurposing across multiple platforms

Nodes Used

• Set – Variable and data configuration
• Blotato – Voice input capture and processing
• Merge – Combining data from multiple sources
• Google Sheets – Data storage and management
• OpenAI – Advanced AI processing
• LM Chat OpenAI – Large language model interactions
• Tool Think – Reasoning and logic operations
• Sticky Note – Workflow documentation and notes
• Telegram Trigger – Activation via Telegram bot
• Telegram – Notification and messaging
• Google Drive – File storage and organization
• HTTP Request – API integrations
• Wait – Timing and delays between steps
• If – Conditional logic branching
• Agent – AI-powered decision making
• Google Sheets Tool – Advanced spreadsheet operations

Prerequisites

• Active n8n instance or n8n Cloud account
• OpenAI API key for GPT-5 access
• HeyGen account with API credentials
• Google Cloud project with Sheets and Drive API enabled
• Blotato account or integration credentials
• Telegram bot token for voice input trigger (optional)
• Social media platform API keys or automation tools for YouTube, TikTok, Instagram, and other platforms
• Valid microphone or voice input device for initial capture

Difficulty Level

This workflow is classified as Advanced to Expert. It requires familiarity with multiple API integrations, understanding of AI model configuration, experience with n8n conditional logic, and knowledge of social media platform requirements. Beginners should review node documentation and test each step individually before running the complete workflow.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

This workflow automates the complete process of creating User-Generated Content (UGC) videos and publishing them to Instagram. It leverages Google Gemini for intelligent content generation and Google Veo 3 for video creation, then automatically uploads the finished videos to your Instagram account using Postiz integration.

How It Works

The workflow follows a streamlined process:

• A manual trigger starts the workflow when you’re ready to create new content
• Google Gemini generates compelling UGC video scripts and descriptions based on your input
• The merge node combines generated content with your specifications
• Google Veo 3 creates the actual video from the generated script and parameters
• The video is temporarily stored via HTTP request handling
• Postiz integration publishes the finished video directly to your Instagram feed
• Google Drive stores a backup copy of the created content

Use Cases

• E-commerce Product Promotion: Automatically create authentic-looking UGC videos showcasing products without hiring external creators
• Social Media Marketing: Generate consistent, high-quality video content for Instagram at scale and on a regular schedule
• Brand Testimonials: Produce customer testimonial-style videos that appear genuine and relatable to your audience
• Content Creator Scaling: Multiply your content output by automating video creation while maintaining creative control through Gemini prompts
• Multi-Account Management: Create and schedule videos across multiple Instagram accounts from a single workflow

Nodes Used

• Manual Trigger: Initiates the workflow on demand
• Google Gemini: Generates creative scripts and video descriptions
• Merge: Combines multiple data sources into a unified input
• HTTP Request: Handles API communication and video data transfers
• Postiz: Manages Instagram publishing and scheduling
• Set: Configures variables and parameters throughout the workflow
• Google Drive: Stores backup copies of generated videos and metadata
• Sticky Note: Provides workflow documentation and setup instructions

Prerequisites

• Active Google account with access to Gemini API and Veo 3
• Instagram business account connected to Postiz
• Google Drive account for backup storage
• API keys configured in n8n for Google services
• Postiz account with active Instagram integration
• Basic understanding of n8n workflow structure

Difficulty Level

Intermediate. This workflow requires API configuration and basic customization of Gemini prompts, but the overall structure is pre-built and ready to use. Most setup involves connecting your accounts and adjusting the image URL in the Set Image node to match your branding needs.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

This n8n workflow combines Bitly URL shortening with an AI-powered chat model to create an intelligent agent that can process and respond to user messages while managing shortened links. The workflow integrates Ollama’s local language model with a chat interface, allowing users to interact with an AI assistant that has the capability to create shortened URLs on demand.

How It Works

The workflow operates through a chat trigger that initiates conversations with users. When a user sends a message, the Ollama chat model processes the input and determines whether a shortened URL is needed. If the AI decides that URL shortening would be beneficial, it leverages the Bitly tool to create compact, shareable links. The agent node orchestrates this interaction, managing the flow between the chat interface and the available tools. The sticky note serves as a reference guide within the workflow for developers and users.

Use Cases

• Content marketing teams needing to generate shortened links on-the-fly while discussing content strategy with an AI assistant
• Social media managers who want to quickly create trackable short URLs without leaving the chat interface
• Customer support teams using AI chat to assist clients while being able to provide condensed, professional-looking links
• Link management for marketing campaigns where discussions about URLs and their shortened versions happen in real-time
• Educational institutions sharing resource links through an AI chatbot with automatic URL optimization

Nodes Used

• Bitly Tool: Handles URL shortening and link management through the Bitly service
• Ollama Chat Model: Provides local AI language processing without external API dependencies
• Agent Node: Orchestrates the workflow logic and tool selection based on user input
• Chat Trigger: Initiates the workflow when users send messages through the chat interface
• Sticky Note: Provides documentation and reference information within the workflow

Prerequisites

• n8n instance installed and running
• Bitly API credentials and authentication configured
• Ollama installed locally with a chat model loaded and accessible
• Basic understanding of n8n workflow structure and node configuration
• Network connectivity between n8n and your local Ollama instance
• Chat interface enabled in your n8n environment

Difficulty Level

Intermediate. This workflow requires knowledge of API authentication, understanding how to configure AI models, and familiarity with n8n’s agent and tool nodes. Users should have experience setting up external integrations and be comfortable troubleshooting tool interactions within workflows.

This workflow template is shared under the n8n fair-code license. Free to use and modify.