This guide walks you through how to automate your social media workflows using CogniAgent. You’ll learn how to build an AI-powered system that creates, manages, and publishes content automatically – without manual copy-pasting, switching between platforms, or repetitive setup.
Most marketing teams spend 6-10 hours per week on manual social media posting alone – time that could be spent on strategy, creative work, or customer engagement.
By the end of this guide, you’ll understand how to trigger social media posts from a single source of truth, generate platform-specific content with AI, route it through approvals if needed, and publish it across multiple channels using one automated workflow.
Let’s start building!

Workflow level: Beginner → Intermediate
Time to build: ~20-30 minutes
Steps required: 5 core steps
What you’ll get:
- A single automated workflow that generates social media content with AI
- Platform-specific posts for LinkedIn, X (Twitter), Facebook, and more
- Automatic publishing across multiple channels from one source of truth
Why does it matter?
Managing social media manually doesn’t scale. Automation allows you to publish faster, stay consistent across platforms, and reduce operational effort – while still keeping control over tone, structure, and approvals. With CogniAgent, one workflow can power your entire social media presence.
Step 1: Set the trigger node — Event from App
Once you open the CogniAgent dashboard, click the “Add Step” button and choose “Event from App.”
This node defines where your workflow starts and what data the AI will rely on. In this scenario, you can prepare a Google Sheet containing the inputs for your posts – for example, the topic, key messages, or sample content.
Each new row added to the sheet will act as an event that triggers the workflow.

Step 2: Set the action node — LLM
Next, connect the trigger node to an LLM action node, which will handle content generation.
Choose the LLM node from the Action section and select a suitable AI model. For writing social media posts, you need a contextual text model, such as OpenAI: GPT-5.2 Chat.
Open the node and define the instructions:
- System instructions
This defines the role of the AI within your workflow. In this scenario, the role is a Senior Social Media Creator. Describe this role clearly so the AI understands its responsibility. - User instructions
Specify exactly what the AI should generate. Be clear and structured. Define requirements for each platform – for example, one tone for LinkedIn, another for Facebook, and another for Instagram. Explain how the AI should adapt the content for each channel.

Step 3: Set up Variables
For each platform, you’ll want a clear and separate output. Create variables for X (Twitter), LinkedIn, Facebook, or any other platform you plan to publish on, and connect them to the LLM node.
These variables allow you to store and reuse platform-specific content later in the workflow.

Step 4 (Optional): Check the generated output
After setting up the generation logic, it’s important to review the output.
Add an Action in App node and connect it to Google Docs. Select the appropriate action – in this case, inserting the generated text into a Google Doc. All AI-generated content will be sent there for review.
Make sure to define which data the node should display by mapping the relevant output variables from the LLM node into the document’s text field.
This step allows you to validate and review the content before proceeding to publishing.
Step 5: Use the Switch node — Publish across channels
Now you’re ready to automate publishing.
Choose a Switch node and route each branch to the social media channels of your choice. This allows you to publish the right content to the right platform — automatically. Done! Your social media content generation and publishing are now fully automated.

Now that your social media workflow is live, it’s time to scale it.
In the next guides, you’ll learn how to automatically generate visuals, turn existing posts into YouTube scripts, and build advanced content automations – all from a single workflow.
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