Workflow Templates

Elevate Your Website’s Ranking: Automated Daily SEO Audits Boost your online visibility and stay ahead of the curve with this Automated SEO Audit Workflow Template. This solution streamlines the crucial task of monitoring your website’s health, proactively identifying issues, and ensuring peak performance without the manual grind. It’s your personal, tireless SEO assistant, designed to save you time and provide actionable insights for driving organic traffic and enhancing your search engine optimization (SEO). Benefits & Target Audience Proactive Issue Detection** Catch SEO errors and performance bottlenecks as they emerge before they impact your rankings. Time & Resource Savings** Automate daily checks so your team can focus on strategy, not manual audits. Comprehensive Insights** Receive on-page, technical, performance, accessibility, and security checks in a single, styled HTML report. Ideal for: Website owners, bloggers, digital marketing agencies, SEO specialists, web developers, and e-commerce businesses are committed to maintaining a strong online presence and improving organic search performance. Detailed Workflow Daily Trigger A Schedule Trigger node fires the audit at your chosen time each day. Configuration Use the Set Variables node to define the target URL, the recipient, and the sender's email addresses. Content Fetch An HTTP Request node retrieves your site’s raw HTML. On-Page Analysis The HTML node parses critical elements (titles, meta descriptions, H1/H2 headings, image alt tags). Audit Logic A Code node runs your custom SEO audit script covering on-page, technical, performance (Core Web Vitals), accessibility, and basic security checks—to generate actionable findings. Report Delivery A Gmail node formats those findings into a clean HTML report and emails it to your specified recipients. Required APIs & Customization APIs Needed:** Gmail (or Slack) credentials for report delivery. Easy Customization:** Target URLs & Recipients: Update in “Configure Target & Recipients.” Audit Frequency: Adjust the Schedule Trigger (e.g., hourly, weekly). Report Branding: Customize the HTML/CSS in the Gmail/Slack node. Delivery Channels: Swap Gmail for Slack, Teams, or your preferred notification service.

The workflow is triggered manually with user input, searches LinkedIn profiles, processes the results using AI, generates connection recommendations, and delivers them via email. It leverages AI to enhance networking opportunities based on insights from profiles. Good to Know Each email is personalized with the user’s name and recommended connections. Recommendations are based on LinkedIn search results and AI analysis. The system ensures data privacy by processing inputs securely. Email notifications include a curated list of potential connections. How it Works Profile Analysis Workflow Get User Data from Email**: Manually inputs user email and profile information to initiate the workflow. Your Profile Information**: Provides initial user data for LinkedIn search. Search LinkedIn Profiles**: Queries LinkedIn via an API (e.g., SerpAPI) to gather profile data. Process LinkedIn Search Results**: Extracts relevant details from search results. AI Recommendation Workflow AI Profile Analysis**: Uses an AI model (e.g., Ollama Model) to analyze profile data and suggest connections. Create Recommendations**: Generates a curated list of potential connections. Create Final Recommendations**: Refines and formats the recommendation list. Create Email**: Prepares a personalized email with the connection list. Send Email**: Delivers the email to the user. Excel Sheet Structure No persistent Excel sheet is required**; data is processed in-memory and emailed directly. However, optional logging can be set up: Optional Log Sheet (Recommendations): Timestamp: Date and time of recommendation generation. User Email: User’s email address. Profile Name: User’s LinkedIn profile name. Industry: User’s industry. Recommended Connections: List of suggested connections. Sent Status: Whether the email was sent successfully. How to Use Import the Workflow into your n8n instance and configure email integration. Provide User Data: Manually enter the user’s email and profile information in the "Get User Data from Email" node. Configure API Credentials: Set up SerpAPI for LinkedIn searches and email service (e.g., SMTP). Run the Workflow: Execute manually to test the process. Monitor Emails: Check the user’s inbox for the curated connection list. Optional Logging: Set up a Google Sheet to log recommendations if desired. Requirements SerpAPI**: For LinkedIn profile searches. Email Service Integration**: Gmail, SMTP, or similar for email delivery. Ollama Model**: For AI-based profile analysis. n8n Instance**: With SerpAPI, email, and function nodes. Customizing this Workflow Expand Data Sources**: Integrate additional platforms (e.g., Xing) for broader searches. Enhance AI**: Train the Ollama Model for more specific connection criteria (e.g., job role, location). Add Notifications**: Include Slack or SMS alerts for admin tracking. Customize Email**: Adjust the email template for branding or additional details. Automate Trigger**: Replace manual input with a scheduled trigger or webhook.

Description This automation manages Stripe disputes by fetching dispute data, formatting it, logging it into Google Sheets, updating related payment records, and notifying the customer via email. It ensures finance and support teams always have up-to-date dispute information while keeping customers informed automatically. What This Template Does (Step-by-Step) 📋 Manual Trigger → Start the workflow manually. 🔗 Fetch Latest Disputes from Stripe → Retrieves the 5 most recent disputes via the Stripe API. 🛠 Format Stripe Dispute Data → Cleans and restructures the raw Stripe response (dispute_id, charge_id, amount, currency, reason, status, respond_by, etc.). 📊 Log Dispute in Disputes Sheet → Appends a new row in the Disputes sheet for historical record-keeping. 📧 Send Customer Dispute Notification Email → Notifies the customer about the dispute with all relevant details (amount, status, respond-by date). 📑 Find Payment in Ledger → Searches the Payments Sheet for a matching charge_id. ✅ Check if Payment Exists → Confirms whether the disputed payment already exists in the ledger. ✏️ Update Payment Record with Dispute Info → If found, updates the existing payment row with dispute details (status, dispute amount, respond_by date, etc.). Prerequisites Stripe account + API key Google Sheets with: Disputes Sheet (for logging disputes) Payments Sheet (for updating transactions) Gmail account with OAuth2 credentials Key Benefits ✅ Keeps a historical log of all disputes in one sheet ✅ Updates existing payment records with dispute status ✅ Sends automatic customer notifications to reduce confusion ✅ Helps finance and support teams track disputes in real time Perfect For Finance teams handling payment disputes Support teams needing automatic customer updates Businesses that want clear visibility into disputes alongside payment records

1. Who's It For HR teams managing multiple new hires monthly. Small-to-medium businesses automating onboarding processes. Companies wanting consistent onboarding experiences. Remote-first teams needing streamlined provisioning. Growing startups scaling their hiring operations. Organizations seeking data-driven onboarding insights. 2. How It Works Captures new hire data via Jotform (name, email, position, department, start date). Extracts employee information including IT requirements and preferences. Analyzes role with AI Agent (GPT-4o-mini) for intelligent profiling. Determines priority level: standard, high, or executive. Generates personalized onboarding goals and training recommendations. Routes executive hires to HR alert path for VIP treatment. Sends welcome email to new employee with personalized plan. Notifies manager with prep checklist and onboarding goals. Creates IT setup request with hardware and software requirements. Logs all data to Google Sheets for tracking and analytics. Offers: AI-powered planning, smart routing, automated notifications, centralized tracking. 3. How to Set Up 1. Create Jotform with required fields (employee name, email, position, department, start date, manager, laptop type, experience level). 2. Import workflow JSON to n8n via Workflows → Import from File. 3. Add credentials: Jotform API, OpenAI API, Gmail OAuth2, Google Sheets. 4. Update Jotform Trigger node with your form ID. 5. Configure Extract Onboarding Data node field mappings to match your form. 6. Add OpenAI API key to OpenAI Chat Model node. 7. Update email addresses in Gmail nodes (welcome email, manager notification, IT request, HR alert). 8. Create Google Sheet with columns matching the Log to Database node. 9. Connect Google Sheets node to your spreadsheet. 10. Customize AI Agent system prompt for your company culture. 11. Test workflow with sample Jotform submission. 12. Activate workflow and monitor executions. Requirements n8n instance (cloud or self-hosted with LangChain support). Credentials: Jotform API key, OpenAI API key, Gmail OAuth2, Google Sheets access. Jotform account for employee onboarding forms. Google Workspace for email and spreadsheet integration. OpenAI API credits (~$0.01-0.03 per employee with gpt-4o-mini). Core Features AI-Powered Analysis: Intelligent role assessment and priority classification. Smart Routing: Executive hires get VIP treatment with HR alerts. Personalized Welcome Emails: Customized onboarding plans with goals and training. Manager Preparation: Automated prep checklist with employee details and expectations. IT Provisioning: Detailed setup requests with hardware and software needs. Database Logging: Complete audit trail in Google Sheets for analytics. Flexible Configuration: Easy customization for different company needs. Scalable Processing: Handles unlimited onboarding submissions automatically. Use Cases & Applications HR Departments: Automate repetitive onboarding tasks for all new hires. Remote Companies: Streamline equipment shipping and virtual onboarding. Fast-Growing Startups: Scale hiring without increasing HR headcount. IT Teams: Reduce equipment provisioning turnaround time. Managers: Get standardized prep instructions for every new team member. Executive Hiring: VIP onboarding path for leadership positions. Key Benefits Time Savings: 15+ hours saved per hire on manual coordination. Consistency: Every employee gets the same high-quality onboarding experience. Personalization: AI tailors plans based on role, department, and experience. Visibility: Real-time tracking of all onboarding activities in one place. Scalability: Handle 1 or 100 hires per month with zero additional effort. Compliance: Ensure all required steps are completed and documented. Employee Experience: New hires feel welcomed and prepared from day one. Data Insights: Track onboarding metrics and identify improvement areas. Customization Options Adjust AI priority classification logic for your org structure. Add custom fields to Jotform (team size, remote/office, security clearance). Modify email templates with company branding and messaging. Create department-specific onboarding workflows. Add Slack notifications for real-time alerts. Integrate with HRIS systems via HTTP Request nodes. Build custom reporting dashboards from Google Sheets data. Add follow-up sequences (day 7, day 30, day 90 check-ins). Include document signing workflows (offer letters, NDAs). Schedule calendar events automatically for first day and orientations. Important Disclaimers Requires n8n with LangChain support for AI Agent functionality. Test thoroughly before deploying to production onboarding. Ensure GDPR/CCPA compliance when collecting employee data. Monitor OpenAI API costs based on monthly hiring volume. Verify email deliverability and avoid spam filters. Keep employee data secure with proper access controls. Review AI-generated content for accuracy and appropriateness. Customize for your specific company policies and culture. Backup Google Sheets data regularly for compliance. Update manager and IT team email addresses before activation.

Solar Energy Production Monitoring Alert Workflow This workflow automatically monitors solar energy production every 2 hours by fetching data from the Energidataservice API. If the energy output falls below a predefined threshold, it instantly notifies users via email. Otherwise, it logs the data into a Google Sheet and posts a daily summary to Slack. Who’s It For Renewable energy teams monitoring solar output. Facility managers and power plant supervisors. ESG compliance officers tracking sustainability metrics. Developers or analysts automating solar energy reporting. How It Works Trigger: The workflow starts every 2 hours using a Schedule Trigger. Data Fetch: An HTTP Request node fetches solar energy production data from the Energidataservice API. Processing: A Code node filters out entries with production below the minimum threshold. Decision Making: An If node checks whether any low-production entries are present. Alerts: If low-production is detected, an email is sent via the Gmail node. Logging: If all entries are valid, they are logged into a Google Sheet. Slack Summary: A Slack node posts the summary sheet data for end-of-day visibility. How to Set Up Schedule Trigger: Configure to run every 2 hours. HTTP Request Node: Method: GET URL: https://api.energidataservice.dk/dataset/YourDatasetHere Add necessary headers and params as required by the API. Code Node: Define logic to filter entries where solar_energy_production < required_threshold. If Node: Use items.length > 0 to check for low-production entries. Gmail Node: Auth with Gmail credentials. Customize recipient and message template. Google Sheets Node: Connect to a spreadsheet. Map appropriate columns. Slack Node: Use Slack OAuth2 credentials. Specify channel and message content. Requirements n8n Cloud or Self-hosted instance. Access to Energidataservice API. Gmail account (with n8n OAuth2 integration). Google Sheets account & sheet ID. Slack workspace and app with appropriate permissions. How to Customize Change Frequency:** Adjust the Schedule Trigger interval (e.g., every hour or 4x per day). Threshold Tuning:** Modify the value in the Code node to change the minimum acceptable solar production. Alert Routing:** Update Gmail recipients or replace Gmail with Microsoft Outlook/SendGrid. Sheet Format:** Add or remove columns in the Google Sheet based on extra metrics (e.g., wind or nuclear data). Slack Posting:** Customize Slack messages using Markdown for improved readability. Add‑ons Telegram Node:** Send alerts to a Telegram group instead of email. Discord Webhook:** Push updates to a Discord channel. n8n Webhook Trigger:** Extend it to receive external production update notifications. Integromat/Make or Zapier:** For multi-platform integration with CRMs or ticketing tools. Use Case Examples Utility Companies:** Automatically detect and act on solar underperformance to maintain grid stability. Solar Farm Operators:** Log clean production data for auditing and compliance reports. Sustainability Teams:** Track daily performance and anomalies without manual checks. Home Solar System Owners:** Get notified if solar generation drops below expected. Common Troubleshooting | Issue | Possible Cause | Solution | | -------------------------------------- | -------------------------------------- | ------------------------------------------------------------------- | | HTTP Request fails | API key missing or URL is incorrect | Check API endpoint, parameters, and authentication headers | | Gmail not sending alerts | Missing or invalid Gmail credentials | Re-authenticate Gmail OAuth2 in n8n credentials | | No data getting logged in Google Sheet | Incorrect mapping or sheet permissions | Ensure the sheet exists, columns match, and credentials are correct | | Slack node fails | Invalid token or missing channel ID | Reconnect Slack credentials and check permissions | | Code node returns empty | Filter logic may be too strict | Validate data format and relax the threshold condition | Need Help? Need help setting this up or customizing it for your own solar or energy monitoring use case? ✅ Set it up on your n8n Cloud or self-hosted instance ✅ Customize it for your own API or data source ✅ Modify alerts to suit your internal tools (Teams, Discord, SMS, etc.) 👉 Just reach out to our n8n automation team at WeblineIndia, we'll be happy to help.

Filter incoming emails via IMAP, extract & clean the body into plain text, normalize (title/slug/snippet/date/from/url), check for duplicates in Postgres, store as a row in a Notion database, then send a Telegram notification. Perfect for building a knowledge base or inbox triage automation without duplicate noise. Key Features IMAP polling (Only UNSEEN). Extract & clean HTML → plain text. Normalization: title, snippet, bodyText, slug, messageId, sentAt, fromAddress, sourceUrl. Deduplication via Postgres (SELECT EXISTS). Create page in Notion database (property mapping). Telegram success notification. Tags: email, imap, notion, postgres, deduplication, telegram, automation, knowledge-base Prerequisites IMAP access (Gmail/Outlook/Custom). Gmail: enable IMAP + App Password if using 2FA. Notion Integration Token & Database ID (database must be shared with the integration). PostgreSQL accessible from n8n. (Optional) Telegram Bot Token & Chat ID.

This n8n workflow enables an AI-powered symptom checker where users input symptoms via a form or chat, analyzes them using an AI model, matches possible conditions, and suggests relevant doctors with contact details via WhatsApp or email, enhancing healthcare accessibility. Why Use It This workflow improves healthcare outreach by providing quick, AI-driven symptom analysis and doctor recommendations, reducing the burden on medical staff, empowering users with informed choices, and streamlining appointment scheduling. How to Import It Download the Workflow JSON: Obtain the workflow file from the n8n template or create it based on this document. Import into n8n: In your n8n instance, go to "Workflows," click the three dots, select "Import from File," and upload the JSON. Configure Credentials: Set up form/webhook, AI model, WhatsApp, email (e.g., SMTP), and optional doctor database API credentials in n8n. Run the Workflow: Test with a sample symptom input and verify responses. System Architecture Symptom Input Pipeline**: Form/Chat Trigger: Initiates the workflow when a user submits symptoms. Extract Symptom Data: Processes the input from the form or chat. AI Analysis Flow**: Send to AI Model: Analyzes symptoms using an AI model. Match Possible Conditions: Identifies potential health conditions. Doctor Suggestion Flow**: Retrieve Doctor Details: Fetches relevant doctor data from a Google Sheet or API. Prepare Suggestion Message: Formats the suggestion with doctor names and contacts. Send WhatsApp Suggestion: Delivers the suggestion via WhatsApp. Send Email Suggestion: Delivers the suggestion via email. Update Log: Logs the request and response in a Google Sheet. Google Sheet File Structure Columns**: timestamp: Date and time of the symptom submission. user_id: Unique identifier for the user (e.g., form ID or chat handle). symptoms: List of symptoms entered by the user. condition: AI-identified possible condition. doctor_name: Name of the suggested doctor. contact: Doctor’s contact (phone or email). sent_via: Channel used for delivery (e.g., WhatsApp, Email). Customization Ideas Add More Channels**: Integrate SMS or Slack for additional notifications. Enhance AI**: Train the AI model with more medical data for better accuracy. Include Appointment Booking**: Add a node to schedule appointments with suggested doctors. Multilingual Support**: Adapt responses for different languages. Severity Alerts**: Flag critical conditions for immediate medical attention. Requirements to Run This Workflow Google Sheets Account**: For logging symptom data and doctor details. AI Model**: Ollama or similar for symptom analysis (requires API access). Form/Chat Service**: Google Forms, WhatsApp webhook, or similar for user input. WhatsApp Business API**: For sending WhatsApp messages (requires token and phone number). Email Service**: Gmail, SMTP, or similar for email delivery. n8n Instance**: With Google Sheets, AI, WhatsApp, and email connectors configured. Internet Connection**: To access APIs and services. Want a tailored workflow for your business? Our experts can craft it quickly Contact our team

Scrape & Import Products to Shopify from Any Site (with Variants & Images)-(Optimized for shoes) This advanced n8n template automates e-commerce operations by scraping product data (including variants and images) from any URL and creating fully detailed products in your Shopify store. This workflow is essential for dropshippers, e-commerce store owners, and anyone looking to quickly import product catalogs from specific websites into their Shopify store. Self-Hosted Only This Workflow uses a community contribution and is designed and tested for self-hosted n8n instances only. How it works The workflow reads a list of product page URLs from a Google Sheet. Your sheet, with its columns for Product Name and Product Link, acts as a database for your workflow. The Loop Over Items node processes products one URL at a time. Two BrowserAct nodes run sequentially to scrape all product details, including the Name, price, description, sizes, and image links. A custom Code node transforms the raw scraped data (where fields like sizes might be a single string) into a structured JSON format with clean lists for sizes and images. The Shopify node creates the base product entry using the main details. The workflow then uses a series of nodes (Set Option and Add Option via HTTP Request) to dynamically add product options (e.g., "Shoe Size") to the new product. The workflow intelligently uses HTTP Request nodes to perform two crucial bulk tasks: Create a unique variant for each available size, including a custom SKU. Upload all associated product images from their external URLs to the product. A final Slack notification confirms the batch has been processed. Requirements BrowserAct** API account for web scraping BrowserAct* "Bulk Product Scraping From (URLs) and uploading to Shopify (Optimized for shoe - NIKE -> Shopify)*" Template BrowserAct** n8n Community Node -> (n8n Nodes BrowserAct) Google Sheets** credentials for the input list Shopify** credentials (API Access Token) to create and update products, variants, and images Slack** credentials (optional) for notifications Need Help? How to Find Your BrowseAct API Key & Workflow ID How to Connect n8n to Browseract How to Use & Customize BrowserAct Templates How to Use the BrowserAct N8N Community Node Workflow Guidance and Showcase Automate Shoe Scraping to Shopify Using n8n, BrowserAct & Google Sheets

This workflow turns Slack into your content control hub and automates the full blog creation pipeline — from sourcing trending headlines, validating topics, drafting posts, and preparing content for your CMS. With one command in Slack, you can source news from RSS feeds, refine them with Gemini AI, generate high-quality blog posts, and get publish-ready output — all inside a single n8n workflow. ⸻ ⚙️ How It Works 1.Trigger in Slack Type start in a Slack channel to fetch trending headlines. Headlines are pulled from your configured RSS feeds. 2.Topic Generation (Gemini AI) Gemini rewrites RSS headlines into unique, non-duplicate topics. Slack displays these topics in a numbered list (e.g., reply with 2 to pick topic 2). 3.Content Validation When you reply with a number, Gemini validates and slightly rewrites the topic to ensure originality. Slack confirms the selected topic back to you. 4.Content Creation Gemini generates a LinkedIn/blog-style draft: Strong hook introduction 3–5 bullet insights A closing takeaway and CTA Optionally suggests asset ideas (e.g., image, infographic). 5.CMS-Ready Output Final draft is structured for publishing (markdown or plain text). You can expand this workflow to automatically send the output to your CMS (WordPress, Ghost, Notion, etc.). ⸻ 🛠 Setup Instructions Connect your Slack Bot to n8n. Configure your RSS Read nodes with feeds relevant to your niche. Add your Gemini API credentials in the AI node. Run the workflow: Type start in Slack → see trending topics. Reply with a number (e.g., gen 3) → get a generated blog draft in the same Slack thread. ⸻ 🎛 Customization Options • Change RSS sources to match your industry. • Adjust Gemini prompts for tone (educational, casual, professional). • Add moderation filters (skip sensitive or irrelevant topics). • Connect the final output step to your CMS, Notion, or Google Docs for publishing. ⸻ ✅ Why Use This Workflow? • One-stop flow: Sourcing → Validation → Writing → Publishing. • Hands-free control: Everything happens from Slack. • Flexible: Easily switch feeds, tone, or target CMS. • Scalable: Extend to newsletters, social posts, or knowledge bases.

LinkedIn Job Search Automation Creator: Summer Chang Setup Instructions This n8n workflow automatically searches for senior designer jobs on LinkedIn every day at 5am and saves them to a Notion database. Prerequisites n8n instance (cloud or self-hosted) Notion account with API access A Notion database set up to receive job listings Setup Steps ✅ 1. Create Your Notion Database Or duplicate my template ✅ 2. Connect Notion to n8n In the "Save to Notion" node, click on the Notion credentials Follow the authentication flow to connect your Notion account Select your job search database from the dropdown ✅ 3. Customize Your Search Criteria In the "Set Search Criteria" node, modify these parameters to match your job preferences: search_keywords: Job titles to search for (comma-separated) Default: senior product designer, product design lead, senior UX designer, AI designer excluded_keywords: Terms to filter out (comma-separated) Default: contract, freelance location: Where you want to work (comma-separated) Default: remote, san francisco f_TPR: Time filter for job postings r86400 = Last 24 hours r604800 = Last week r2592000 = Last month sortBy: How to sort results DD = Most recent first R = Most relevant first ✅ 4. Adjust the Schedule In the "Everyday @5am" node: Click on the node Modify the schedule to your preferred time You can set it to run daily, weekly, or at custom intervals ✅ 5. Set Result Limits In the "Limit1" node: Default: Processes 10 jobs per run Adjust the maxItems value to get more or fewer results ✅ 6. Configure Wait Time (Optional) The "Wait2" node adds a 10-second delay between requests to avoid rate limiting: Default: 10 seconds Increase if you're getting blocked by LinkedIn Decrease for faster processing (not recommended) How It Works Trigger: Runs automatically every day at 5am Search: Queries LinkedIn with your specified criteria Parse: Extracts job title, company, location, and URL from search results Filter: Removes any jobs with missing critical information Wait: Delays between requests to avoid rate limiting Fetch Details: Retrieves full job descriptions and poster information Save: Adds each job to your Notion database

Move beyond generic AI-generated content and create articles that are high-quality, factually reliable, and aligned with your unique expertise. This template orchestrates a sophisticated "research-first" content creation process. Instead of simply asking an AI to write an article from scratch, it first uses an AI planner to break your topic down into logical sub-questions. It then queries a Super assistant—which you've connected to your own trusted knowledge sources like Notion, Google Drive, or PDFs—to build a comprehensive research brief. Only then is this fact-checked brief handed to a powerful AI writer to compose the final article, complete with source links. This is the ultimate workflow for scaling expert-level content creation. Who is this for? Content marketers & SEO specialists:** Scale the creation of authoritative, expert-level blog posts that are grounded in factual, source-based information. Technical writers & subject matter experts:** Transform your complex internal documentation into accessible public-facing articles, tutorials, and guides. Marketing agencies:** Quickly generate high-quality, well-researched drafts for clients by connecting the workflow to their provided brand and product materials. What problem does this solve? Reduces AI "hallucinations":** By grounding the entire writing process in your own trusted knowledge base, the AI generates content based on facts you provide, not on potentially incorrect information from its general training data. Ensures comprehensive topic coverage:** The initial AI-powered "topic breakdown" step acts like an expert outliner, ensuring the final article is well-structured and covers all key sub-topics. Automates source citation:** The workflow is designed to preserve and integrate source URLs from your knowledge base directly into the final article as hyperlinks, boosting credibility and saving you manual effort. Scales expert content creation:** It effectively mimics the workflow of a human expert (outline, research, consolidate, write) but in an automated, scalable, and incredibly fast way. How it works This workflow follows a sophisticated, multi-step process to ensure the highest quality output: Decomposition: You provide an article title and guidelines via the built-in form. An initial AI call then acts as a "planner," breaking down the main topic into an array of 5-8 logical sub-questions. Fact-based research (RAG): The workflow loops through each of these sub-questions and queries your Super assistant. This assistant, which you have pre-configured and connected to your own knowledge sources (Notion pages, Google Drive folders, PDFs, etc.), finds the relevant information and source links for each point. Consolidation: All the retrieved question-and-answer pairs are compiled into a single, comprehensive research brief. Final article generation: This complete, fact-checked brief is handed to a final, powerful AI writer (e.g., GPT-5). Its instructions are clear: write a high-quality article using only the provided information and integrate the source links as hyperlinks where appropriate. Implementing the template Set up your Super assistant (Prerequisite): First, go to Super, create an assistant, connect it to your knowledge sources (Notion, Drive, etc.), and copy its Assistant ID and your API Token. Configure the workflow: Connect your AI provider (e.g., OpenAI) credentials to the two Language Model nodes (GPT 5 mini and GPT 5 chat). In the Query Super Assistant (HTTP Request) node, paste your Assistant ID in the body and add your Super API Token for authentication (we recommend using a Bearer Token credential). Activate the workflow: Toggle the workflow to "Active" and use the built-in form to generate your first fact-checked article! Taking it further Automate publishing:* Connect the final *Article result* node to a *Webflow* or *WordPress** node to automatically create a draft post in your CMS. Generate content in bulk:* Replace the *Form Trigger* with an *Airtable* or *Google Sheet** trigger to automatically generate a whole batch of articles from your content calendar. Customize the writing style:* Tweak the system prompt in the final *New content - Generate the AI output** node to match your brand's specific tone of voice, add SEO keywords, or include specific calls-to-action.

Rename Workflow Nodes with AI for Clarity This workflow automates the tedious process of renaming nodes in your n8n workflows. Instead of manually editing each node, it uses an AI language model to analyze its function and assign a concise, descriptive new name. This ensures your workflows are clean, readable, and easy to maintain. Who's it for? This template is perfect for n8n developers and power users who build complex workflows. If you often find yourself struggling to understand the purpose of different nodes at a glance or spend too much time manually renaming them for documentation, this tool will save you significant time and effort. How it works / What it does The workflow operates in a simple, automated sequence: Configure Suffix: A "Set" node at the beginning allows you to easily define the suffix that will be appended to the new workflow's name (e.g., "- new node names"). Fetch Workflow: It then fetches the JSON data of a specified n8n workflow using its ID. AI-Powered Renaming: The workflow's JSON is sent to an AI model (like Google Gemini or Anthropic Claude), which has been prompted to act as an n8n expert. The AI analyzes the type and parameters of each node to understand its function. Generate New Names: Based on this analysis, the AI proposes new, meaningful names and returns them in a structured JSON format. Update and Recreate: A Code Node processes these suggestions, updates all node names, and correctly rebuilds the connections and expressions. Create & Activate New Workflow: Finally, it creates a new workflow with the updated name, deactivates the original to avoid confusion, and activates the new version.