This n8n AI Agent will AUTOMATE your Social Media

[@AI-GPTWorkshop]

📚 Find all the Resources and Live daily Q&A calls in my Skool community 👉 www.skool.com/aiworkshop

[@ntitlea]

Hey mate I’m in the community following you for a bit ! Good work and I recommend you guys join.

[@MinaEllis-XXAI]

Thank you so much man you are a genius. This tutorial is the best and most awesome as far as consistency features are concerned, explained so meticulously and in detail.

[@garyoleary4985]

🎯 Key points for quick navigation: 00:00 *📈 Automated Social Media Posting: The tutorial demonstrates automating social media posts with no code using N8N, including summarizing articles and creating posts tailored for multiple platforms like LinkedIn, Medium, and Facebook.* 00:25 *🤖 AI Integration for Summaries: Uses AI agents to summarize articles and distribute information across internal teams via Slack or email.* 00:55 *🎓 Learning Resources: The creator shares templates and resources through a school community, allowing easy import and use for automations.* 01:49 *📑 Google Sheets Trigger: The trigger for this automation is adding a new article link in Google Sheets, which then initiates further processing.* 03:00 *⚙️ Connecting Google Sheets: Google Sheets integration is configured to trigger when a new row is added, fetching the content for further processing.* 05:19 *📝 Fetching Latest Article: A code node is used to filter out the latest added article from Google Sheets to avoid processing older entries repeatedly.* 08:31 *📊 Summarize with Perplexity: Perplexity AI is used to summarize articles, leveraging its internet access capabilities for more accurate information retrieval.* 11:58 *🔑 API Key Setup: Demonstrates generating and using an API key for integrating Perplexity with N8N for the article summarization process.* 17:04 *✍️ OpenAI for Post Creation: OpenAI is used to generate tailored social media posts for platforms like LinkedIn, Facebook, and Medium, based on the article summary.* 18:57 *🌐 Json Output for Customization: Outputs are structured in JSON format for easy extraction, allowing for further individual tailoring of posts for each platform.* 19:54 *🔄 Platform-Specific Customization: LinkedIn posts are made more professional, while Instagram posts are made visually engaging, showing the flexibility in content tailoring.* 20:50 *📣 Posting on LinkedIn: Shows how to link automation to a LinkedIn page, demonstrating successful post creation directly from N8N.* 21:15 *📝 Posting to LinkedIn: Demonstrates how to add LinkedIn as a posting destination, including credential setup for authentication.* 22:25 *🚀 Standard Credentials Method: Recommends using the "Standard" method to connect LinkedIn, avoiding the complicated "Community Management" process.* 23:48 *🔄 Connecting LinkedIn Account: Explains how to connect your LinkedIn account and make sure the configuration is correct to post as an individual or organization.* 24:45 *🖊️ Adding Article Link: Shows how to append the original article link to LinkedIn posts for better engagement.* 26:00 *📊 Adding Media: Optionally attach images or links directly to LinkedIn posts through the media section to enhance visual appeal.* 27:11 *🔄 Testing LinkedIn Post: Successfully posts to LinkedIn and verifies the content, including the summary and original article link.* 28:35 *✍️ Posting on Medium: Explains how to connect Medium and use the automation to create a blog post using the content generated.* 30:29 *🔐 Connecting Medium Account: Provides instructions on connecting your Medium account using a self-issued access token for easy integration.* 32:39 *📄 Posting to Medium: Successfully generates a Medium article based on the summary and displays how it looks on the Medium platform.* 33:21 *🐦 Adding Twitter (X) Integration: Shows how to add Twitter as a posting platform, emphasizing the need for a basic or pro developer account.* 34:31 *🔄 Connecting Twitter Account: Details the steps to generate developer credentials for connecting your Twitter account, including callback URIs and API keys.* 35:11 *📣 Adding Facebook Posting: Adds Facebook as a posting destination, detailing how to generate an access token for integration.* 36:06 *🤖 Creating an AI Summary for Teams: Uses an AI agent to summarize an article and send it via Gmail or Slack for internal communication.* 38:37 *📧 Email and Slack Notifications: Adds Gmail and Slack nodes to send the summarized content via email or to a Slack channel for team collaboration.* 39:52 *⚙️ Full Workflow Test: Executes the full workflow, including posting to social media, summarizing articles, and sending internal notifications.* Made with HARPA AI

[@danielnazariopro]

Thanks

[@werneylima6172]

The connection window with LinkedIn has changed. It no longer looks like it does in the video. The connection window with LinkedIn is now asking for Client ID and Client Secret even when we choose the Standard option.

[@iathaismaia]

Hello, thanks for the video! Is that possible to schedule on threads as well?

[@manuel.fernandes]

The reason I watched your video is because the video thumbnail shows that you are exporting to Instagram but after I watched it I didn't find that part. I find it misleading...

[@mathws1]

Same

[@edoardododoguzzi]

You can request a json output to the ai for have title and post separated and formatted in json

[@SouthbayCreations]

Great video but what about instagram and tiktok, are those not possible? Also it’s known to get more engagement with images or a video, are those possible to post on social media with n8n?

[@Lyes_Abdellatif]

same question

[@planetgamecommunity817]

Easy!

[@planetgamecommunity817]

Easy with agent tools

[@nideshmane5995]

Yes, it would require a little extra in the workflow to account for images and video, but I think it could be done

[@McSpace2008]

Why you use code block for get last line instead of “limit “ block with “last 1” option?

[@AI-GPTWorkshop]

hmm I will try that. thanks for the suggestion

[@johnglendelapas995]

is it possible to store article into pinecone ?

[@lofiel-ish]

hi. how about local llm + perplexica combo workflow , nice video btw

[@AI-GPTWorkshop]

Great suggestion!

[@yhojraj]

Do you have any tutorials about how to use Litellm in n8n as chat models and embeddings so we can load balance?

[@TimotheedeAlmeida]

hello, i have done this, first need to put litellm on a domain (i use apache proxying to redirect the http request from the domain to the internal docker host) then you have the api of litellm i'm open to talk it mode if you need info

[@yhojraj]

@@TimotheedeAlmeida I have tried this. It's working but whenever I try to connect with Ollama is timeout. Have you managed to connect with Ollama?

[@mathws1]

Nice content, would be nice more focus on setting up other social media nodes such as FB, IG, TIKTOK, YT Shorts etc

[@lmt125]

Why are you using groq?

[@viniciusandrade2085]

For some purposes, Groq is really good because it gives you more models to work with. In order to be a good AI expert, you should know which LLM or SLM to use in different scenarios! That’s a huge difference between an okay and a great prompt engineer.

[@musumo1908]

Where’s the instagram n8n node walkthrough?

[@rodrigomonteiro2524]

My friend, do we learn how to do this with Instagram in your community?

[@clinicguide]

This is so helpful!! thanks

[@MafraReborN]

do you pay for api key?

[@AI-GPTWorkshop]

which one

[@arturkre5793]

@@AI-GPTWorkshop X

[@FarisandFarida]

Yessssss!!!!!🎉🎉🎉🎉🎉

[@SergeyP-ZC21]

Great and timely content. I've sent you an interesting idea for future content via email. Wishing you continued success!

[@DigitalAlchemyst]

Make sure you revoke all those perplexity API keys you showed multiple keys there when you were setting up.

[@DigitalAlchemyst]

LOL you went back and said you were gonna delete shortly after =P

[@reserivram]

How I use instagram in n8n

[@SouthbayCreations]

That’s what I want to know also and tiktok

[@neponel]

really want this but locally hosted and without any 3rd party monthly paid saas services. push against the AI overloads. support open source and locally ran everythign.