Step 2: Define Context and Pull Source Topics

Set the author context and fetch recent automation topics to seed the post.

1. In Define Posting Context, set the following fields:
   • role to Full Stack Developer & AI Automation Specialist
   • core_focus to AI automation, n8n workflows, backend APIs, frontend systems, analytics
   • experience_level to Hands-on implementation for real businesses
   • audience to Founders, business owners, developers, product teams
   • content_rules to No motivation, no unrelated tech, only real-world experience
2. In Fetch Recent Topics, set URL to https://api.rss2json.com/v1/api.json?rss_url=https://medium.com/feed/tag/automation.
3. Connect Define Posting Context → Fetch Recent Topics → Filter Relevant Insights.

Step 3: Generate the LinkedIn Draft with AI

Filter insights and generate a text draft using OpenAI.

1. In Filter Relevant Insights, keep the provided JavaScript to extract latestInsight.
2. In Compose LinkedIn Draft, set the message content to the provided prompt and ensure it references {{ $json.latestInsight }}.
3. Credential Required: Connect your openAiApi credentials in Compose LinkedIn Draft.
4. After Compose LinkedIn Draft, configure Extract Post Text with linkedinData set to {{ $json.output[0].content[0].text }}.
5. In Verify Draft Content, keep the condition checking {{ $json.linkedinData }} exists.

Step 4: Generate and Validate the Post Image

Create a LinkedIn-ready image and validate the output before merging with the text.

1. In Create Post Image, set Resource to image and use the full prompt with the title reference {{ $('Fetch Recent Topics').item.json.items[0].title }}.
2. Credential Required: Connect your openAiApi credentials in Create Post Image.
3. In Prepare Binary Payload, keep the JavaScript that maps $items("Create Post Image")[0].binary.data into json.binary.
4. In Validate Image Output, keep the condition checking {{ $json.binary.data }} exists.

Step 5: Build the LinkedIn Payload and Publish

Merge text and image, construct the payload, and publish to LinkedIn.

1. Ensure Verify Draft Content and Validate Image Output both feed into Combine Text and Image.
2. In Build LinkedIn Payload, keep the JavaScript that constructs:
   • json.post from linkedinPost.linkedinData
   • binary.image.data from imageBinary.binary.data with mimeType: "image/png"
3. In Publish to LinkedIn, set:
   • Text to {{ $json.json.post }}
   • Post As to organization
   • Binary Property Name to {{ $json.binary.image }}
   • Share Media Category to IMAGE
4. Credential Required: Connect your linkedInOAuth2Api credentials in Publish to LinkedIn.

Step 6: Configure Success and Failure Notifications

Route publish results to email notifications based on the LinkedIn response.

1. In Assess Publish Result, keep the condition checking {{ $json.urn }} exists.
2. Connect the true path from Assess Publish Result to Dispatch Success Email and the false path to Dispatch Failure Email.
3. In Dispatch Success Email, set:
   • To Email to [YOUR_EMAIL]
   • From Email to [YOUR_EMAIL]
   • Subject to Linked post successfully
   • Text to the provided template including https://www.linkedin.com/feed/update/{{ $json.urn }}
4. In Dispatch Failure Email, set:
   • To Email to [YOUR_EMAIL]
   • From Email to [YOUR_EMAIL]
   • Subject to LinkedIn Post Status
   • Text to the provided failure message
5. Credential Required: Connect your smtp credentials in both Dispatch Success Email and Dispatch Failure Email.

Step 7: Test and Activate Your Workflow

Run a manual test to confirm that both the LinkedIn post and email notifications work end-to-end.

1. Click Execute Workflow on Manual Launch Trigger to run the workflow.
2. Verify that Publish to LinkedIn returns a valid urn and that Dispatch Success Email is triggered.
3. Confirm the LinkedIn post appears with both text and image.
4. When satisfied, toggle the workflow to Active for production use.