Automate RSS to Medium publishing with Groq, Gemini & Slack approval system
Transform fresh tech headlines into polished Medium articles by orchestrating a sophisticated pipeline of Groq and Gemini AI models. This workflow streamlines your creative process with automated image generation and a Slack-based approval system, ensuring high-quality content hits your feed without manual heavy lifting. Stay organized and avoid duplicates with integrated Google Sheets tracking and automated archiving to Google Drive.
Run this with your team's AIWhat This Recipe Does
This automation transforms your content marketing workflow from a manual chore into a streamlined, high-output engine. By monitoring RSS feeds for industry trends and news, the system automatically identifies relevant topics and uses AI to draft high-quality content. It handles the entire lifecycle of a document: generating the initial draft in Google Docs, organizing data in Google Sheets for tracking, and storing finalized files in Google Drive. This ensures your team always has a steady stream of fresh material without the constant pressure of starting from a blank page. Beyond just writing, the workflow integrates communication tools like Slack and Gmail to keep your team informed and distribute content immediately to stakeholders. This process eliminates the bottleneck of manual research and drafting, allowing your creative team to focus on strategy and final polish. It provides a consistent brand voice and ensures you never miss a trending topic in your industry, directly contributing to higher engagement and faster turnaround times. By centralizing your content production within a single automated pipeline, you reduce administrative overhead and maintain a competitive edge in your market.
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
Google Docs, Bot for Slack, DaySchedule, Google Sheets, Google Drive, BigMailer connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Google Docs and Bot for Slack 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
- Content Managers use this to automatically draft weekly industry roundup newsletters based on the latest news updates.
- SEO Specialists use this to monitor competitor blogs and generate initial briefs for new supporting articles in Google Docs.
- Social Media Teams use this to pull key insights from long-form RSS articles and format them for multi-channel distribution notifications.
Frequently Asked Questions
Can I choose which sources the automation monitors?
Yes, you can input any RSS feed URL to ensure the AI focuses on sources relevant to your specific industry or niche.
How do I control the tone and style of the generated content?
The system allows you to define specific prompts and brand guidelines within the workflow, ensuring the AI output aligns with your professional voice.
Do I need to manually move files to my cloud storage?
No, the automation automatically creates, organizes, and stores all generated documents and spreadsheets in your designated Google Drive folders.
Can I review the content before it is sent out via email?
Yes, the workflow includes notification steps and storage in Google Docs, allowing your team to review and edit drafts before final distribution or internal sharing.
Coming from n8n?
This recipe uses nodes like GoogleDocs, If, HttpRequest, Slack and 15 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