Automate LinkedIn Posts with DevOps News: RSS to LinkedIn via OpenAI"

Scenario: 0Dev_LinkedIn News Poster Bot ⚙️ (devops.com feed)

Overview:

This Make.com scenario automates the process of posting news updates from the DevOps.com RSS feed to LinkedIn. It connects to RSS feeds, OpenAI, and LinkedIn to fetch new articles, generate LinkedIn posts using GPT-3.5, and publish them on LinkedIn. This workflow ensures that your LinkedIn followers are consistently updated with the latest news in DevOps, accompanied by insightful commentary generated by AI.

Flow Description:

1. RSS Feed Trigger

• ID: 10
• Module: rss:TriggerNewArticle
• Version: 4
• Description: This module monitors the DevOps.com RSS feed for new articles.
• Parameters:
• URL: https://devops.com/feed/
• Max Results: 1
• Gzip: true
• Mapper: {}
• Metadata:
• Designer: { "x": 32, "y": 5, "name": "RSS Feed" }

1. Set Variables for Tone Examples

• ID: 15
• Module: util:SetVariables
• Version: 1
• Description: Sets variables for different tones to be used in the generated LinkedIn post.
• Parameters: {}
• Mapper:
• Scope: "roundtrip"
• Variables:
• {"name": "tone example 1", "value": "serious"}
• {"name": "exciting", "value": "Add a post example here."}
• {"name": "happy", "value": "Add a post example here."}
• {"name": "sad", "value": ""}
• Metadata:
• Designer: { "x": 316, "y": -7, "name": "Tone Example Setup" }

1. Set System Role Variable

• ID: 14
• Module: util:SetVariables
• Version: 1
• Description: Sets a system role variable for the AI model.
• Parameters: {}
• Mapper:
• Scope: "roundtrip"
• Variables:
• {"name": "System Role", "value": "Devops Expert"}
• Metadata:
• Designer: { "x": 600, "y": 0, "name": "Role" }

1. Create LinkedIn Post with GPT-3.5

• ID: 12
• Module: openai-gpt-3:CreateCompletion
• Version: 1
• Description: Uses OpenAI's GPT-3.5 to generate a LinkedIn post based on the news summary and specified tone.
• Parameters:
• Connection: 531539
• Mapper:
• Model: "gpt-3.5-turbo"
• Messages:
• {"role": "system", "content": "You are a {{14.System Role}} expert"}
• {"role": "user", "content": "Using the following news summary, create a LinkedIn Post giving a prediction and some general commentary on the news. Use a {DESCRIPTION}, {DESCRIPTION} tone, similar to examples provided. Make it a detailed and well thought out post.\nNews summary - {{10.summary}}\nExamples for tone:\n1/ {{15.tone example 1}}\n2/ {{15.tone example 2}}\n3/ {{15.tone example 3}}\n4/ {{15.tone example 4}}\nContraints: Do not include pretext or context in your response, only return the LinkedIn post. Maximum 3000 characters. Break up the text making paragraphs no more than two sentences long and using bullet points or numbered lists where possible."}
• Max Tokens: 1500
• Temperature: 1.1
• Response Format: "text"
• Metadata:
• Designer: { "x": 900, "y": 0, "name": "GPT LI Post Creator" }

1. Post to LinkedIn

• ID: 13
• Module: linkedin:CreatePost
• Version: 2
• Description: Publishes the generated post to LinkedIn.
• Parameters:
• Connection: 1575406
• Mapper:
• Content: "{{trim(replace(12.choices[].message.content; \"\"\"\"; space))}}"
• Visibility: "PUBLIC"
• Feed Distribution: "MAIN_FEED"
• Is Reshare Disabled By Author: false
• Metadata:
• Designer: { "x": 1200, "y": 0 }

Technical Details:

• Built-in Modules: RSS Feed Trigger, Set Variables, Create LinkedIn Post.
• On-error Modules: None specified.
• App Connections: Google (RSS Feed), OpenAI (GPT-3.5), LinkedIn.

This scenario leverages Make.com's powerful automation capabilities to seamlessly integrate data from an RSS feed, utilize AI to generate content, and publish it on LinkedIn, all with minimal manual intervention. This ensures that your LinkedIn presence remains active and engaging with the latest industry news and insights.