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Create research-based LinkedIn posts with OpenAI, Perplexity and human review

Alberto BordoniAlberto Bordoni
1187 views
2/3/2026
Google SheetsGoogle Document AIAutomationData ExtractionPDF Processing
Official Page

What This Workflow Does:

  • Generates original, research-based LinkedIn posts
  • Combines AI insights with personal storytelling
  • Includes human-in-the-loop selection & revision steps
  • Automatically creates a conceptual image via DALL·E 3
  • Sends the final post and image via email, ready to publish

Perfect For:

  • Professionals who want to share high-quality AI-assisted content
  • Content creators balancing consistency and authenticity
  • Consultants and solopreneurs building a personal brand
  • Anyone who wants to turn AI research into personal, sharable stories

📋 WORKFLOW PROCESS OVERVIEW

Step 1: 🔍 Perplexity finds 3 recent, verifiable AI-related topics

Step 2: 📧 Email sent – you choose your favorite topic

Step 3: ✍️ OpenAI generates a LinkedIn post draft

Step 4: 📨 You review the post and approve or suggest changes

Step 5: 🛠️ If needed, AI revises the post based on your feedback

Step 6: 🎨 DALL·E creates a conceptual image to match the content

Step 7: 📬 Final email sent – post text + image ready to copy-paste on LinkedIn

Create Research-Based LinkedIn Posts with OpenAI, Perplexity, and Human Review

This n8n workflow automates the creation of research-backed LinkedIn posts, incorporating AI-driven content generation, factual verification, and a human review step to ensure quality and accuracy before publishing.

What it does

This workflow streamlines the process of generating engaging and credible LinkedIn content by:

  1. Triggering Manually or on Schedule: The workflow can be initiated manually or set to run on a predefined schedule.
  2. Preparing Input Data: A "Set" node is used to define or modify data that will be used in subsequent steps, likely preparing the initial prompt or context for content generation.
  3. Generating Content with OpenAI: Leverages OpenAI to generate the initial draft of a LinkedIn post, based on the prepared input.
  4. Researching and Verifying with Perplexity: Utilizes Perplexity to perform research and fact-check information related to the OpenAI-generated content, adding a layer of credibility.
  5. Human Review and Approval via Gmail: Sends the generated content and research findings to a designated email address (via Gmail) for human review. This step acts as a "Human in the Loop" (HITL) to ensure the content is accurate, appropriate, and aligns with brand guidelines.
  6. Conditional Processing: An "If" node likely checks for an approval or rejection signal from the human reviewer.
  7. Post-Review Processing (Conditional):
    • If Approved: Further processing (e.g., publishing to LinkedIn, storing in a database) would typically occur, though not explicitly defined in the provided JSON.
    • If Rejected: The workflow might loop back for revisions or send a notification for further action.
  8. Executing Custom Logic (Code Node): A "Code" node is available to execute custom JavaScript logic at various points in the workflow, allowing for flexible data manipulation or integration with other services.
  9. Adding Notes (Sticky Note): A "Sticky Note" node is included for documentation within the workflow, providing context or instructions for specific sections.

Prerequisites/Requirements

To use this workflow, you will need:

  • OpenAI API Key: For generating content.
  • Perplexity API Key: For research and verification.
  • Gmail Account: Configured as an n8n credential for sending review emails.
  • n8n Instance: A running instance of n8n to host and execute the workflow.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Set up your OpenAI API Key credential.
    • Set up your Perplexity API Key credential.
    • Configure your Gmail (Google OAuth) credential.
  3. Customize Nodes:
    • Edit Fields (Set): Adjust the input data to provide the initial prompt or context for your LinkedIn posts.
    • OpenAI: Configure the model, prompt, and any other parameters for content generation.
    • Perplexity: Configure the research query based on the OpenAI output.
    • Gmail: Specify the recipient email address(es) for human review and customize the email content to include the generated post and research findings.
    • If: Configure the conditions for approval/rejection based on the human reviewer's response (e.g., looking for specific keywords in a reply email).
    • Code: If custom logic is required, modify the JavaScript within the Code node.
  4. Activate the Workflow: Once configured, activate the workflow. You can trigger it manually using the "Manual Trigger" or set a schedule using the "Schedule Trigger".

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