AI-powered multi-platform social media content factory with dynamic system prompts & GPT-4o
Automated Social Media Content Publishing Factory + System Prompt Composition
This workflow is a powerful automation for creating and publishing social media content. It uses AI to generate content and images based on external prompts and schemas, and routes the final posts to various social media platforms.
How it Works
This workflow operates as a "Content Publishing Factory". It generates platform-optimized content for platforms like LinkedIn, Instagram, Facebook, X (Twitter), Threads, and YouTube Shorts. A key feature is its dynamic system prompt and output schema composition, which pulls content from external Google Docs to ensure consistency. The workflow can also create images to match the content and send the final draft for approval via email before publishing.
Use Cases
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Centralized Content Management: Store and manage all system prompts and schemas in Google Docs for easy team collaboration and version control.
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Brand Consistency: Ensure a consistent brand voice across all social media platforms by centralizing brand guidelines and content rules.
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Automated Publishing: Automate content creation, image generation, and publishing, reducing manual effort and design bottlenecks.
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Fact-checking and Contextual Relevance: Incorporate real-time research and fact-checking into content to ensure accuracy and relevance.
Setup Instructions
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Google Docs: Create two Google Docs: one for the social media schema and one for the system prompt, and update the respective node IDs in the workflow.
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API Credentials: Provide credentials for the following services:
- OpenAI: For the AI agents and content creation.
- SerpAPI: For the web search tool to perform research.
- Gmail: For sending content for approval and notifications.
- Google Drive: For archiving images and final posts.
- Social Media Platforms: You'll need credentials for the platforms you wish to publish to (X, Instagram, Facebook, LinkedIn, etc.).
- Image Hosting: The workflow uses imgbb.com to host generated images, requiring an API key.
Workflow Logic
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Routing Agent: The Social Media Router Agent receives a user prompt and uses a toolWorkflow node to route the request to the appropriate content generation workflow.
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Prompt & Schema Composition: The workflow fetches the system prompt and platform-specific schemas from Google Docs, parses them, and composes a dynamic prompt for the AI agent.
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Content Creation: The Social Media Content Creator agent uses the composed prompt and a web search tool to generate platform-optimized content and an image suggestion.
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Image Generation & Archiving: The workflow generates an image from the AI suggestion using an external service and archives both the image and the final post content in Google Drive.
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Approval Process: The draft content is sent to a Gmail address for approval.
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Publishing: If the content is approved, the Social Media Publishing Router node directs the content to the correct publishing node for the specified platform (e.g., X Post, Instagram Image, Facebook Post, etc.).
Node Descriptions
| Node Name | Description | |-----------|-------------| | When chat message received | A trigger node that initiates the workflow based on a chat message. | | Social Media System Prompt | A Google Docs node that retrieves the main system prompt for the AI agent. | | Social Media Schema | A Google Docs node that retrieves the JSON schema for each social media platform's output. | | Social Media Content Creator | An AI agent that generates content based on user prompts, system prompts, and schemas, using a web search tool for research. | | pollinations.ai1 | An HTTP Request node that generates an image from a text prompt using an external service. | | Gmail User for Approval | Sends a draft of the social media post for approval and pauses the workflow until a decision is made. | | Social Media Publishing Router | A Switch node that routes the workflow to the correct publishing node based on the user's selected platform. | | X Post, Instagram Post, Facebook Post, LinkedIn Post | These nodes publish the final, approved content to their respective social media platforms. |
Customization Tips
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You can replace the pollinations.ai image generation service with any other online service that produces an image file.
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Replace the gpt-4o and gpt-4o-mini models with other LLMs and web search tools to suit your needs.
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Adjust the content and parameters for each social media platform to better fit your brand and audience.
Suggested Sticky Notes for Workflow
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** Start Here**: "Update all Social Media Platform Credentials as required. Adjust parameters and content for each platform to suit your needs".
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External System Prompt and Schema: "Create Google Doc for the Social Media Schema and copy the provided schema. Update the Google Doc ID in the Social Media Schema node.".
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Create Post Image: "Replace pollinations.ai with any online image generation service that produces an image file you can download".
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Social Media Content Creator: "Replace Chat model with other LLMs and test out the results. Add more tools or try other web search tools to suit your use case."
Testing Tips
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Start the workflow with a manual trigger and verify that the social media content and a related image are generated and sent for approval via Gmail.
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Approve the content in the Gmail email to test the publishing side of the workflow.
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Check the specified social media accounts to confirm that the post was published correctly.
Suggested Tags & Categories
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SocialMedia
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Automation
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AI
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ContentCreation
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Publishing
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GoogleDocs
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OpenAI
AI-Powered Multi-Platform Social Media Content Factory with Dynamic System Prompts (GPT-4o)
This n8n workflow orchestrates an advanced social media content generation and publishing pipeline. It leverages AI (specifically GPT-4o via LangChain) to dynamically create content based on user prompts, then allows for human review and multi-platform publishing to X (Twitter), Facebook, LinkedIn, and Telegram. It also includes the ability to perform web searches and call other n8n workflows as AI tools.
What it does
This workflow automates the following steps:
- Receives Chat Prompts: Listens for incoming chat messages (e.g., from a Telegram bot) that serve as prompts for content generation.
- Initializes AI Agent: Sets up an AI Agent with a conversational memory and a powerful OpenAI Chat Model (GPT-4o).
- Provides AI Tools: Equips the AI agent with several tools:
- SerpApi (Google Search): Allows the AI to perform web searches for up-to-date information.
- Call n8n Workflow Tool: Enables the AI to trigger other n8n workflows, extending its capabilities.
- Google Drive: Allows the AI to interact with Google Drive for file operations.
- Google Docs: Allows the AI to interact with Google Docs for document management.
- Gmail: Allows the AI to send emails.
- Generates Content with AI: The AI agent processes the user's prompt, utilizing its tools and memory to generate comprehensive social media content.
- Extracts Content from AI Response: Parses the AI's response to extract the generated social media post content.
- Human-in-the-Loop Review (Telegram): Sends the generated content to a Telegram channel for human review and approval.
- Conditional Publishing: Based on the review outcome:
- If Approved: Proceeds to publish the content.
- If Rejected: Stops the workflow, preventing publication.
- Publishes to X (Twitter): Posts the approved content to X (formerly Twitter).
- Publishes to Facebook: Posts the approved content to Facebook.
- Publishes to LinkedIn: Posts the approved content to LinkedIn.
- Publishes to Telegram: Posts the approved content to a specified Telegram channel.
- Handles Errors: Catches any errors during the publishing process and sends a notification via Telegram.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- OpenAI API Key: For the OpenAI Chat Model (GPT-4o).
- Telegram Bot Token: For the Chat Trigger (receiving prompts) and sending notifications/review requests.
- SerpApi API Key: For the Google Search tool.
- Facebook Page/Group: With appropriate permissions for the Facebook Graph API node.
- X (Twitter) Developer Account & API Keys: For posting tweets.
- LinkedIn Account & API Keys: For posting updates.
- Google Drive Credentials: For the Google Drive tool.
- Google Docs Credentials: For the Google Docs tool.
- Gmail Credentials: For the Gmail tool.
- Other n8n Workflows (Optional): If you intend to use the "Call n8n Workflow Tool," you'll need to configure the IDs of those workflows.
Setup/Usage
- Import the Workflow: Download the JSON file and import it into your n8n instance.
- Configure Credentials:
- Go to "Credentials" in n8n.
- Add your OpenAI API Key.
- Add your Telegram Bot Token.
- Add your SerpApi API Key.
- Set up Facebook Graph API credentials.
- Set up X (Twitter) credentials.
- Set up LinkedIn credentials.
- Set up Google Drive credentials.
- Set up Google Docs credentials.
- Set up Gmail credentials.
- Configure Nodes:
- Chat Trigger: Ensure your Telegram Bot is correctly linked and listening for messages.
- OpenAI Chat Model: Select your OpenAI credential.
- SerpApi (Google Search): Select your SerpApi credential.
- Call n8n Workflow Tool: If using, specify the Workflow IDs you want the AI to be able to call.
- Google Drive, Google Docs, Gmail: Select your respective Google credentials.
- Telegram (Human Review): Update the
Chat IDto your review channel/group. - X (Formerly Twitter): Select your X credential.
- Facebook Graph API: Select your Facebook credential and specify the Page ID.
- LinkedIn: Select your LinkedIn credential.
- Telegram (Publish): Update the
Chat IDto your publishing channel/group. - Telegram (Error Notification): Update the
Chat IDto your error notification channel/group.
- Activate the Workflow: Once all credentials and node configurations are set, activate the workflow.
- Start Generating Content: Send a chat message to your Telegram bot with a prompt, and the AI will begin generating content for your review and publishing.
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Slack App Setup Go to api.slack.com/apps and create a new app Under OAuth & Permissions, add these Bot Token Scopes: app_mentions:read chat:write channels:read Install the app to your workspace Copy the Bot User OAuth Token Create a dedicated channel (e.g., personal-finance-tracker) Invite your bot to the channel Google Gemini API Visit ai.google.dev Create an API key Save it for n8n credentials setup PostgreSQL Database Set up a PostgreSQL database (you can use Supabase free tier): Create a new project Note down connection details (host, port, database name, user, password) The workflow will auto-create the required table n8n Workflow Configuration Import the workflow and configure: A. Credentials Google Sheets OAuth2: Connect your Google account Slack API: Add your Bot User OAuth Token Google Gemini API: Add your API key PostgreSQL: Add database connection details B. Update Node Parameters All Google Sheets nodes: Select your finance spreadsheet Slack nodes: Select your finance channel Schedule Trigger: Adjust time if you prefer a different check-in hour (default: 11 PM) Postgres Chat Memory: Change sessionKey to something unique (e.g., financetrackeryour_name) Keep tableName as n8nchathistory_finance or rename consistently C. Slack Trigger Setup Activate the "Bot Mention trigger" node Copy the webhook URL from n8n In Slack App settings, go to Event Subscriptions Enable events and paste the webhook URL Subscribe to bot event: app_mention Save changes Test the Workflow Activate both workflow branches (scheduled and agent) In your Slack channel, mention the bot: @YourBot ₹100 cash snacks Bot should respond with a preview Reply "yes" to approve Verify Google Sheets are updated How to customize Change Transaction Categories Edit the AI Agent's system message to add/remove categories. Current categories: travel, food, entertainment, utilities, shopping, health, education, other Modify Daily Check-in Time Change the Schedule Trigger's triggerAtHour value (0-23 in 24-hour format). Add Currency Support Replace ₹ with your currency symbol in: Format Daily Message code node AI Agent system prompt examples Switch AI Models The workflow uses Google Gemini, but notes recommend Claude. To switch: Replace "Google Gemini Chat Model" node Add Claude credentials Connect to AI Agent node Customize Debt Types Modify AI Agent's system prompt to change debt handling logic: Currently: IOwe and TheyOwe_Me You can add more types or change naming Add More Payment Methods Current: cash, online To add more (e.g., credit card): Update AI Agent prompt Modify Balances sheet structure Update balance calculation logic Change Approval Keywords Edit AI Agent's Phase 2 approval logic to recognize different approval phrases. Add Spending Analytics Extend the daily check-in to calculate: Weekly/monthly spending summaries Category-wise breakdowns Use additional Code nodes to process transaction history Important Notes ⚠️ Never trigger with normal messages - Only use app mentions (@botname) to avoid infinite loops where the bot replies to its own messages. 💡 Context Awareness - The bot remembers conversation history, so you can reference "yesterday", "last week", or previous transactions naturally. 🔒 Data Privacy - All your financial data stays in your Google Sheets and PostgreSQL database. The AI only processes transaction text temporarily. 📊 Backup Regularly - Export your Google Sheets periodically as backup. --- Pro Tips: Start with small test transactions to ensure everything works Use consistent person names for debt tracking The bot understands various formats: "₹500 cash food" = "paid 500 rupees in cash for food" You can batch transactions in one message: "₹100 travel, ₹200 food, ₹50 snacks"