AI Native Flow Case Study #10 – n8n – Transform LinkedIn Insights with AI Workflow Automation
Free
https://n8n.io/workflows/2491-create-linkedin-contributions-with-ai-and-notify-users-on-slack/
🛠️ Testing Environment
Self-hosted; n8n version: 1.66.0
🧠 LLMs Used
gpt-4o-2024-11-20
🤖 ModelType
Text-Only;
✅ IsFunctional
Yes
🚀 Performance Rating
Great
🌟 Expected Behaviour
This workflow automatically gathers professional advice articles from LinkedIn, extracts the core content of each article, and uses an AI model to generate unique insights and comments. These auto-generated contributions are then posted to a Slack channel for user review and simultaneously recorded in a NocoDB database for tracking and management purposes.
📝 Actual Behaviour
After testing, the workflow has proven to meet its described functionality. It successfully automates the process of collecting professional advice articles from LinkedIn, extracting the essential content from each article, and generating unique insights and comments using an AI model. These auto-generated contributions are subsequently posted to a Slack channel for further review and action.
📊 Evaluation
AI Native: (9/10) This workflow demonstrates a strong alignment with AI Native principles by effectively automating content extraction, synthesis, and collaboration processes through AI-enhanced workflows.
🔍 Workflow Breakdown
1️⃣ Search for Articles: Automatically finds the latest LinkedIn advice articles tailored to your expertise using a predefined Google search.
2️⃣ Extract Links: Gathers all relevant LinkedIn article links from the search results.
3️⃣ Retrieve Content: Pulls the HTML content from each link, extracting the article title, topics, and existing comments.
4️⃣ Generate Contributions: Sends the extracted content to an AI model to create unique and valuable advice for each article topic.
5️⃣ Post to Slack: Shares the AI-generated contributions along with the article links in a designated Slack channel for review.
Statement: Evaluation results are generated by AI, lack of data support, reference learning only.
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