Aws news monitoring & LinkedIn content automation with Claude 3 & Feishu
This automated pipeline tracks AWS developments via RSS and leverages Claude 3 to craft insightful technical commentary for social media. It features a streamlined human-in-the-loop approval system through Feishu Bitable before automatically publishing polished content directly to LinkedIn. It is the ultimate solution for cloud professionals looking to maintain a high-authority presence with minimal manual effort.
Run this with your team's AIWhat This Recipe Does
Maintaining a consistent presence on LinkedIn is essential for building brand authority, yet manually finding and sharing industry news is a time-consuming task. This automation streamlines your content strategy by automatically monitoring your favorite RSS feeds for new articles and sharing them directly to your LinkedIn profile or company page. By operating on a predefined schedule, the system ensures your network receives a steady stream of relevant insights without requiring daily manual intervention. This approach not only saves hours of administrative work but also positions your brand as a primary source of industry information. The inclusion of custom logic allows for the filtering and formatting of content, ensuring that only the most relevant pieces reach your audience in a professional layout. For marketing teams and business owners, this means more time to focus on high-level strategy while the automation handles the repetitive work of maintaining social visibility and engagement. The result is a more active, professional, and informed social presence that works for you around the clock.
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
Http, DaySchedule connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Http and DaySchedule 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 marketers who need to keep company pages active with industry-relevant news to drive organic engagement.
- Solopreneurs and consultants looking to build thought leadership on LinkedIn by sharing timely updates automatically.
- Digital agencies managing social media for multiple clients who require a reliable way to automate curated content streams.
Frequently Asked Questions
What do I need to get started with this automation?
You only need the URL of the RSS feed you wish to monitor and an active LinkedIn account with permissions to post content.
Can I control how often the automation checks for new content?
Yes, the schedule trigger is fully customizable, allowing you to check for updates hourly, daily, or on specific days of the week to match your posting strategy.
Is it possible to filter the content before it is posted?
The automation includes a processing step that can be configured to filter articles based on specific keywords or categories within the RSS feed.
Will I receive a notification when a post is successfully shared?
The workflow includes a webhook integration that can be connected to your internal communication tools or a logging system to provide status updates.
Coming from n8n?
This recipe uses nodes like LinkedIn, Webhook, Langchain.agent, Langchain.lmChatAwsBedrock and 5 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
Automated YouTube video scheduling & AI metadata generation 🎬
The YouTube Content Intelligence automation transforms how marketing teams monitor and leverage video content. By automating the extraction and processing of YouTube data, this workflow eliminates the manual effort required to track competitors, monitor brand mentions, or gather industry insights. It systematically fetches video details, handles high volumes of data through intelligent batching, and removes duplicates to ensure your dataset remains clean and actionable. Instead of spending hours browsing channels and manually logging information, your team receives a structured feed of intelligence ready for analysis. This automation allows you to stay ahead of market trends, identify high-performing content patterns, and react to new video releases in real-time. By bridging the gap between raw video data and business strategy, you can optimize your content production and competitive positioning with data-driven precision.
Retweet cleanup with scheduling for X/Twitter
Maintaining a professional and focused brand presence on X requires a curated feed that highlights your original insights rather than a cluttered history of old retweets. The Automated Retweet Cleanup for X Accounts allows businesses and personal brands to automatically purge shared content after it has served its purpose. By scheduling regular cleanups, you ensure that your profile remains streamlined and relevant to new followers who are auditing your expertise. This automation systematically scans your account, identifies retweets based on your specific criteria, and removes them without requiring manual oversight. Beyond just tidying your timeline, the workflow includes error handling and Slack notifications to keep you informed of the process. This tool is essential for marketing teams who want to maintain a high-signal-to-noise ratio on social media while protecting their brand's long-term digital footprint.
Extract and merge Twitter (X) threads using TwitterAPI.io
The Twitter Thread Fetcher is a specialized automation designed to solve the problem of fragmented social media content. Instead of manually copying and pasting individual tweets from a long thread, this automation systematically extracts every post in a sequence and merges them into a single, cohesive document. This is particularly valuable for content marketers and researchers who need to archive high-performing social content or repurpose Twitter insights for other platforms like blogs, newsletters, or internal knowledge bases. By automating the retrieval process, businesses can save significant time and ensure that no part of a valuable discussion or announcement is lost. The automation handles the technical complexity of connecting to the Twitter API and restructuring the data, providing a clean, ready-to-use text output that preserves the original narrative flow of the thread.
Auto-post breaking news content using Perplexity AI to X (Twitter)
Maintaining a consistent and authoritative presence on social media is essential for brand growth, yet manually scouring the web for relevant news is a significant time sink. This automation bridges the gap between information gathering and content distribution by leveraging Perplexity AI to research current events and automatically drafting and posting updates to X (Twitter). Instead of spending hours each morning looking for industry trends, this workflow proactively identifies timely topics based on your specific criteria and shares them with your audience. By automating the research-to-publication pipeline, businesses can ensure they remain at the forefront of industry conversations without diverting resources from high-level strategy. This system transforms your social media profile into a real-time information hub, increasing engagement and establishing your brand as a thought leader in your niche. The result is a streamlined marketing operation that delivers consistent value to followers while operating entirely in the background.
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