Automate social media headlines with Bright Data & n8n
Description This workflow automatically finds trending headlines and content from various sources and posts them to your social media accounts. It helps maintain an active social media presence without the daily manual effort of content curation. Overview This workflow automatically scrapes trending headlines and content from various sources and posts them to your social media accounts. It uses Bright Data to access content and n8n to schedule and post to platforms like Twitter, LinkedIn, or Facebook. Tools Used n8n: The automation platform that orchestrates the workflow. Bright Data: For scraping trending content from news sites, blogs, or other sources without getting blocked. Social Media APIs: To post content to your accounts. How to Install Import the Workflow: Download the .json file and import it into your n8n instance. Configure Bright Data: Add your Bright Data credentials to the Bright Data node. Connect Social Media: Authenticate your social media accounts. Customize: Set your content preferences, posting schedule, and hashtag strategy. Use Cases Social Media Managers: Automate content curation and posting. Content Creators: Share trending topics in your niche. Businesses: Maintain an active social media presence with minimal effort. --- Connect with Me Website: https://www.nofluff.online YouTube: https://www.youtube.com/@YaronBeen/videos LinkedIn: https://www.linkedin.com/in/yaronbeen/ Get Bright Data: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) n8n automation socialmedia brightdata contentcuration scheduling socialmediaautomation contentmarketing socialmediamanagement autoposting trendingcontent n8nworkflow workflow nocode socialmediatools digitalmarketing contentcalendar socialmediapresence headlinecuration trendalerts socialmediaschedule contentautomation socialmediamarketing contentdistribution automatedposting socialmediastrategy
By Yaron BeenAnalyze customer feedback with Azure GPT-4, Jira tasks & Outlook reports from Monday.com
Description Automate customer feedback analysis and action planning by integrating Monday.com, Azure OpenAI, Jira, Google Sheets, and Outlook. This workflow classifies customer feedback with AI, calculates business impact, creates Jira tasks for high-priority issues, and sends weekly performance summaries — turning raw feedback into actionable insights. 💬📈🤖 What This Template Does Step 1: Triggers automatically every Monday at 9:00 AM to fetch new customer feedback from Monday.com. ⏰ Step 2: Normalizes and structures data into consistent fields (title, account, ARR, NPS, etc.). 🧩 Step 3: Uses Azure OpenAI GPT-4 to classify sentiment and identify feedback themes (e.g., “UI Design,” “App Crash”). 🧠 Step 4: Calculates a business impact score based on ARR, NPS delta, and sentiment weightings. ⚙️ Step 5: Creates Jira tasks for high-impact feedback items for product or engineering follow-up. 🎫 Step 6: Logs all feedback and impact scores into Google Sheets for analytics dashboards. 📊 Step 7: Generates a professional HTML report summarizing metrics, wins, and risks, then emails it via Outlook. 📧 Step 8: Sends automated error-alert emails if any node fails during execution. 🚨 Key Benefits ✅ Converts qualitative feedback into measurable business intelligence ✅ Identifies critical customer issues automatically using AI ✅ Reduces manual effort in triaging and prioritizing feedback ✅ Creates real-time visibility for product and CX teams ✅ Provides weekly executive summaries and performance insights Features Weekly scheduled trigger (every Monday 9 AM) Monday.com data fetching and field normalization Azure OpenAI GPT-4-based sentiment and theme detection Impact scoring combining ARR + NPS + sentiment weighting Jira issue creation with context-rich descriptions Google Sheets logging for dashboards and historical records Outlook HTML email reports for leadership visibility Automated Gmail error-notification system Requirements Monday.com API credentials with board access Azure OpenAI GPT-4 API credentials Jira Software Cloud API credentials Google Sheets OAuth2 credentials with edit permissions Microsoft Outlook OAuth2 credentials for email delivery Gmail OAuth2 credentials for error alerting Target Audience Product and CX teams analyzing customer sentiment SaaS businesses tracking post-implementation feedback Customer-success and support operations teams Product managers prioritizing improvements based on impact Leadership teams monitoring customer health and satisfaction Step-by-Step Setup Instructions 1️⃣ Connect Monday.com API and update your boardId and groupId. 2️⃣ Configure Azure OpenAI GPT-4 credentials for the AI classifier. 3️⃣ Set Jira project ID and issue type for ticket creation. 4️⃣ Link Google Sheets and replace YOURSHEETID. 5️⃣ Connect Outlook OAuth2 and add recipient email for reports. 6️⃣ Configure Gmail OAuth2 for error alerts. 7️⃣ Adjust the cron expression (0 9 1) to fit your timezone. 8️⃣ Test the workflow end-to-end with sample data. 9️⃣ Enable automation for seamless weekly feedback intelligence. ✅
By Rahul JoshiAutomate actuarial premium adjustments and claims reporting with GPT-4.1, Gmail and Slack
How It Works This workflow automates insurance claims processing by deploying specialized AI agents to analyze actuarial data, draft claim memos, and perform risk assessments. Designed for insurance adjusters, underwriters, and claims managers handling high claim volumes, it solves the bottleneck of manual claim review that delays settlements and increases operational costs. The system ingests new claims data via scheduled triggers, then routes information to an actuarial analysis agent that calculates loss ratios and risk scores. A memo writer agent generates detailed claim summaries with recommendations, while a risk assessment agent evaluates fraud indicators and coverage implications. An orchestrator agent coordinates these specialists, ensuring consistent analysis standards. Final reports are automatically distributed via email to product teams and Slack notifications to risk management, creating transparent workflows while reducing claim processing time from days to hours with standardized, comprehensive evaluations. Setup Steps Configure claims database API credentials in "Fetch New Claims Data" node Input NVIDIA API key for all OpenAI Model nodes Add OpenAI API key in Orchestrator Agent configuration Set up Calculator Tool parameters for premium adjustment calculations Configure Gmail credentials and recipient addresses for product team Connect Slack workspace and specify risk team channel for alerts Prerequisites NVIDIA API access, OpenAI API key, claims management system API Use Cases Auto insurance claim triage, property damage assessment automation Customization Adjust risk scoring thresholds, add industry-specific analysis criteria Benefits Reduces claim processing time by 85%, ensures consistent evaluation standards
By Cheng Siong Chin