Transform blog posts into multi-platform content with AI, Unsplash and Airtable
Streamline your distribution strategy by automatically transforming new blog posts into five platform-optimized formats using GPT-4o and Unsplash for visual suggestions. This comprehensive automation logs every draft in Airtable and alerts your team via Slack, ensuring your content reaches LinkedIn, Twitter, and beyond without manual reformatting.
Run this with your team's AIWhat This Recipe Does
Maintaining a consistent social media presence often requires hours of manual research and drafting. This automation transforms how your business handles content creation by turning external industry news into ready-to-publish social media posts. The system monitors your chosen RSS feeds for relevant updates and automatically extracts the most important information. It then processes this data into optimized posts for LinkedIn and Twitter, ensuring your brand stays active and authoritative without constant manual intervention. By centralizing the approval process in Airtable and Slack, your team can review, edit, and approve content in seconds rather than hours. This workflow eliminates the friction of content brainstorming and manual posting, allowing your marketing team to focus on high-level strategy while the automation handles the repetitive tasks of information gathering and distribution. The result is a streamlined digital presence that keeps your audience engaged and your brand at the forefront of industry conversations. You gain a scalable content engine that works around the clock to build your authority and reach.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Bot for Slack, Airtable connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Bot for Slack and Airtable once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Marketing Managers who need to maintain a high-frequency posting schedule across LinkedIn and Twitter without increasing headcount.
- Thought Leaders and Founders who want to share industry insights quickly but lack the time to manually track news and draft daily updates.
- Content Teams who need a centralized hub to curate industry news, store draft posts in Airtable, and collaborate on approvals via Slack.
Frequently Asked Questions
Do I need to manually find news articles every day?
No. The system automatically pulls the latest updates from your designated RSS feeds, ensuring you have a steady stream of relevant content to process.
Can I review the content before it goes live on social media?
Yes. The automation is designed to send drafts to Airtable and notify you via Slack, allowing you to review or edit the posts before they are published.
Is it possible to add other social media platforms?
While this specific setup focuses on LinkedIn and Twitter, the underlying architecture can be expanded to include other platforms that support API integrations.
What do I need to get started with this automation?
You will need active accounts for Airtable, Slack, LinkedIn, and Twitter, along with the RSS feed URLs for the news sources you wish to track.
Coming from n8n?
This recipe uses nodes like StickyNote, RssFeedRead, HttpRequest, Code and 7 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
Related Recipes
Build a document QA system with Google Drive, Pinecone, and OpenAI RAG
This automation streamlines document management by instantly reacting to file changes within your Google Drive. Instead of manually monitoring folders or waiting for notifications, this workflow detects new or updated files and triggers immediate downstream actions. For businesses handling high volumes of documentation, this ensures that team members are alerted the moment a contract is uploaded, a report is edited, or a client submits a project brief. By converting Google Drive into an active participant in your workflow, you eliminate the latency between document creation and business action. This results in faster response times, improved project momentum, and the removal of administrative bottlenecks that typically slow down collaborative environments. Whether you are managing legal documents, marketing assets, or internal reports, this automation provides a reliable bridge between your storage system and your operational processes.
Automate vendor due diligence research with Gemini & Jina AI
This AI Safety and Compliance automation provides a robust framework for organizations to vet content and data against internal policies and regulatory standards. By utilizing a structured form trigger, the workflow captures submissions and subjects them to an intelligent analysis process powered by Jina AI. It evaluates inputs for potential risks, compliance violations, or safety concerns, ensuring that every piece of data moving through your pipeline adheres to predefined safety protocols. The system includes built-in wait states and conditional logic to allow for human-in-the-loop verification when necessary, finally consolidating all findings into a centralized Google Sheets repository for auditing. This automation eliminates the manual bottleneck of compliance reviews, reduces the risk of human error in safety assessments, and provides a transparent audit trail for stakeholders and regulators.
AI-powered document chat with Nextcloud files using LangChain and OpenAI
This AI-driven document management automation transforms how your organization interacts with stored data. By integrating a conversational AI interface with NextCloud, this workflow allows team members to query, extract, and analyze information from files using natural language. Instead of manually searching through folders and reading dozens of documents to find specific details, users can simply ask questions and receive structured summaries or specific data points instantly. The system intelligently routes requests, processes various file types through automated extraction, and aggregates results into a cohesive response. This significantly reduces the time spent on administrative research and ensures that critical information trapped in static documents becomes an accessible, actionable asset for your entire team. By bridging the gap between raw file storage and intelligent retrieval, this automation empowers better decision-making and accelerates project timelines.
Generate product images & videos with Gemini AI, DeepSeek, and GoAPI for e-commerce
This automated content generation system streamlines the transition from raw data to production-ready assets. By integrating powerful web requests and HTML processing, the workflow automatically fetches, structures, and formats content based on your specific requirements. The inclusion of a Form Trigger allows team members to initiate content requests instantly, while the built-in logic handling ensures that data is validated and converted into the correct file formats before delivery. To ensure reliability in business operations, the system features a dedicated error-handling mechanism that sends immediate notifications via Discord if a process requires attention. This eliminates the manual overhead of constant monitoring and allows your creative team to focus on strategy rather than data entry. By standardizing the content creation pipeline, businesses can maintain a consistent brand voice and accelerate their publishing schedule without increasing headcount or technical complexity.
Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork