Workflow Templates

Description Automate the discovery and analysis of PDF files across a deeply nested OneDrive folder structure. This workflow recursively searches folders, filters for new or updated PDFs, extracts text, and uses a Mistral AI agent to generate a concise Executive Summary, Key Findings, and Structured Metadata (Date, Location, etc.), storing all insights into a n8n Data Table for easy access and further automation. Key Features & How It Works Scheduled Trigger & Recursive Folder Search: The workflow runs automatically (scheduled for 8 PM in this template) to monitor a specified main folder on OneDrive. It performs a deep, multi-level search (up to 8 layers) across subfolders to ensure no documents are missed. Smart Deduplication & Filtering: It checks new files against an internal n8n Data Table using the Compare Datasets node, ensuring only new or unique PDF files are processed, saving AI credits and processing time. A size check is also included, preventing attempts to process excessively large files. AI-Powered Document Intelligence (Mistral LLM): For each new PDF, the workflow extracts the text and passes it to a Mistral AI model for dual-stream analysis: Overview Agent: Generates an impartial, professional Executive Summary, a list of Key Findings & Data Points, and the document's Scope/Context. Document Information Agent: Extracts crucial metadata, including the single most relevant date, location (City/State/Country), and professional information (Name, Title, Organization). Structured Output and Archiving: AI outputs are meticulously validated and reformatted into a clean JSON object using Structured Output Parsers. The complete analysis, along with the original file name and path, is then logged as a new row in an n8n Data Table. Setup Notes OneDrive Folder: You must specify the exact name of your main folder in the 'Search for Main Folder' node. Data Table: Ensure your n8n Data Table exists with the required columns: Summary, Key_Findings, Scope, Date, Location, File_Name, and Path. Deep Folder Structure: The current configuration supports up to 8 levels of subfolders. If your files go deeper, you may need to add more "Get items in a folder" and "If" nodes. AI Customization: Review the AI agent prompts and the structured output schemas to customize the fields you want to extract or the summary style you require. Extend This Workflow The final output is organized data. You can easily extend this workflow to: Send daily/weekly digest emails with new summaries. Sync the extracted data to a Google Sheet, Airtable, or other database. Add a secondary AI agent to perform follow-up actions based on the "Key Findings."

🛠️ Pipedrive Tool MCP Server Complete MCP server exposing all Pipedrive Tool operations to AI agents. Zero configuration needed - all 45 operations pre-built. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger: Serves as your server endpoint for AI agent requests • Tool Nodes: Pre-configured for every Pipedrive Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Pipedrive Tool tool with full error handling 📋 Available Operations (45 total) Every possible Pipedrive Tool operation is included: 🔧 Activity (5 operations) • Create an activity • Delete an activity • Get an activity • Get many activities • Update an activity 💰 Deal (7 operations) • Create a deal • Delete a deal • Duplicate a deal • Get a deal • Get many deals • Search a deal • Update a deal 🔧 Dealactivity (1 operations) • Get many deal activities 🔧 Dealproduct (4 operations) • Add a deal product • Get many deal products • Remove a deal product • Update a deal product 📄 File (5 operations) • Create a file • Delete a file • Download a file • Get a file • update details of a file 🔧 Lead (5 operations) • Create a lead • Delete a lead • Get a lead • Get many leads • Update a lead 🔧 Note (5 operations) • Create a note • Delete a note • Get a note • Get many notes • Update a note 🏢 Organization (6 operations) • Create an organization • Delete an organization • Get an organization • Get many organizations • Search an organization • Update an organization 👥 Person (6 operations) • Create a person • Delete a person • Get a person • Get many people • Search a person • Update a person 🔧 Product (1 operations) • Get many products 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options Response Format: Native Pipedrive Tool API responses with full data structure Error Handling: Built-in n8n error management and retry logic 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Complete Coverage: Every Pipedrive Tool operation available • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n error handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.

Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator? Join the community Complete MCP server exposing 23 AWS Budgets API operations to AI agents. ⚡ Quick Setup Import this workflow into your n8n instance Credentials Add AWS Budgets credentials Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works This workflow converts the AWS Budgets API into an MCP-compatible interface for AI agents. • MCP Trigger: Serves as your server endpoint for AI agent requests • HTTP Request Nodes: Handle API calls to https://budgets.amazonaws.com • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (23 total) 🔧 #X-Amz-Target=Awsbudgetservicegateway.Createbudget (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.CreateBudget: Creates a budget and, if included, notifications and subscribers. <important> Only one of BudgetLimit or PlannedBudgetLimits can be present in the syntax at one time. Use the syntax that matches your case. The Request Syntax section shows the BudgetLimit syntax. For PlannedBudgetLimits, see the Examples section. </important> 🔧 #X-Amz-Target=Awsbudgetservicegateway.Createbudgetaction (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.CreateBudgetAction: Creates a budget action. 🔧 #X-Amz-Target=Awsbudgetservicegateway.Createnotification (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.CreateNotification: Creates a notification. You must create the budget before you create the associated notification. 🔧 #X-Amz-Target=Awsbudgetservicegateway.Createsubscriber (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.CreateSubscriber: Creates a subscriber. You must create the associated budget and notification before you create the subscriber. 🔧 #X-Amz-Target=Awsbudgetservicegateway.Deletebudget (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.DeleteBudget: Deletes a budget. You can delete your budget at any time. <important> Deleting a budget also deletes the notifications and subscribers that are associated with that budget. </important> 🔧 #X-Amz-Target=Awsbudgetservicegateway.Deletebudgetaction (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.DeleteBudgetAction: Deletes a budget action. 🔧 #X-Amz-Target=Awsbudgetservicegateway.Deletenotification (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.DeleteNotification: Deletes a notification. <important> Deleting a notification also deletes the subscribers that are associated with the notification. </important> 🔧 #X-Amz-Target=Awsbudgetservicegateway.Deletesubscriber (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.DeleteSubscriber: Deletes a subscriber. <important> Deleting the last subscriber to a notification also deletes the notification. </important> 🔧 #X-Amz-Target=Awsbudgetservicegateway.Describebudget (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.DescribeBudget: Describes a budget. <important> The Request Syntax section shows the BudgetLimit syntax. For PlannedBudgetLimits, see the Examples section. </important> 🔧 #X-Amz-Target=Awsbudgetservicegateway.Describebudgetaction (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.DescribeBudgetAction: Describes a budget action detail. 🔧 #X-Amz-Target=Awsbudgetservicegateway.Describebudgetactionhistories (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.DescribeBudgetActionHistories: Describes a budget action history detail. 🔧 #X-Amz-Target=Awsbudgetservicegateway.Describebudgetactionsforaccount (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.DescribeBudgetActionsForAccount: Describes all of the budget actions for an account. 🔧 #X-Amz-Target=Awsbudgetservicegateway.Describebudgetactionsforbudget (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.DescribeBudgetActionsForBudget: Describes all of the budget actions for a budget. 🔧 #X-Amz-Target=Awsbudgetservicegateway.Describebudgetnotificationsforaccount (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.DescribeBudgetNotificationsForAccount: Lists the budget names and notifications that are associated with an account. 🔧 #X-Amz-Target=Awsbudgetservicegateway.Describebudgetperformancehistory (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.DescribeBudgetPerformanceHistory: Describes the history for DAILY, MONTHLY, and QUARTERLY budgets. Budget history isn't available for ANNUAL budgets. 🔧 #X-Amz-Target=Awsbudgetservicegateway.Describebudgets (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.DescribeBudgets: Lists the budgets that are associated with an account. <important> The Request Syntax section shows the BudgetLimit syntax. For PlannedBudgetLimits, see the Examples section. </important> 🔧 #X-Amz-Target=Awsbudgetservicegateway.Describenotificationsforbudget (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.DescribeNotificationsForBudget: Lists the notifications that are associated with a budget. 🔧 #X-Amz-Target=Awsbudgetservicegateway.Describesubscribersfornotification (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.DescribeSubscribersForNotification: Lists the subscribers that are associated with a notification. 🔧 #X-Amz-Target=Awsbudgetservicegateway.Executebudgetaction (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.ExecuteBudgetAction: Executes a budget action. 🔧 #X-Amz-Target=Awsbudgetservicegateway.Updatebudget (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.UpdateBudget: Updates a budget. You can change every part of a budget except for the budgetName and the calculatedSpend. When you modify a budget, the calculatedSpend drops to zero until Amazon Web Services has new usage data to use for forecasting. <important> Only one of BudgetLimit or PlannedBudgetLimits can be present in the syntax at one time. Use the syntax that matches your case. The Request Syntax section shows the BudgetLimit syntax. For PlannedBudgetLimits, see the Examples section. </important> 🔧 #X-Amz-Target=Awsbudgetservicegateway.Updatebudgetaction (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.UpdateBudgetAction: Updates a budget action. 🔧 #X-Amz-Target=Awsbudgetservicegateway.Updatenotification (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.UpdateNotification: Updates a notification. 🔧 #X-Amz-Target=Awsbudgetservicegateway.Updatesubscriber (1 endpoints) • POST /#X-Amz-Target=AWSBudgetServiceGateway.UpdateSubscriber: Updates a subscriber. 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Path parameters and identifiers • Query parameters and filters • Request body data • Headers and authentication Response Format: Native AWS Budgets API responses with full data structure Error Handling: Built-in n8n HTTP request error management 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Cursor: Add MCP server SSE URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n HTTP request handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.

Complete MCP server exposing 21 api.clarify.io API operations to AI agents. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Credentials Add api.clarify.io credentials Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works This workflow converts the api.clarify.io API into an MCP-compatible interface for AI agents. • MCP Trigger: Serves as your server endpoint for AI agent requests • HTTP Request Nodes: Handle API calls to https://api.clarify.io/ • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (21 total) 🔧 V1 (21 endpoints) • GET /v1/bundles: Add Media to Track • POST /v1/bundles: Create a bundle • DELETE /v1/bundles/{bundle_id}: Delete a bundle • GET /v1/bundles/{bundle_id}: Get a bundle • PUT /v1/bundles/{bundle_id}: Update a bundle • GET /v1/bundles/{bundle_id}/insights: Get bundle insights • POST /v1/bundles/{bundle_id}/insights: Request an insight to be run • GET /v1/bundles/{bundle_id}/insights/{insight_id}: Get bundle insight • DELETE /v1/bundles/{bundle_id}/metadata: Delete bundle metadata • GET /v1/bundles/{bundle_id}/metadata: Get bundle metadata • PUT /v1/bundles/{bundle_id}/metadata: Update bundle metadata • DELETE /v1/bundles/{bundle_id}/tracks: Delete bundle tracks • GET /v1/bundles/{bundle_id}/tracks: Get bundle tracks • POST /v1/bundles/{bundle_id}/tracks: Add a track for a bundle • PUT /v1/bundles/{bundle_id}/tracks: Update a tracks for a bundle • DELETE /v1/bundles/{bundle_id}/tracks/{track_id}: Delete a bundle track • GET /v1/bundles/{bundle_id}/tracks/{track_id}: Get bundle track • PUT /v1/bundles/{bundle_id}/tracks/{track_id}: Add media to a track • GET /v1/reports/scores: Generate Group Report • GET /v1/reports/trends: Generate Trends Report • GET /v1/search: Search Bundles 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Path parameters and identifiers • Query parameters and filters • Request body data • Headers and authentication Response Format: Native api.clarify.io API responses with full data structure Error Handling: Built-in n8n HTTP request error management 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Cursor: Add MCP server SSE URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n HTTP request handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.

Complete MCP server exposing 18 Bufferapp API operations to AI agents. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Credentials Add Bufferapp credentials Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works This workflow converts the Bufferapp API into an MCP-compatible interface for AI agents. • MCP Trigger: Serves as your server endpoint for AI agent requests • HTTP Request Nodes: Handle API calls to https://api.bufferapp.com/1/ • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (18 total) 🔧 Info (1 endpoints) • GET /info/configuration{mediaTypeExtension}: Get Configuration 🔧 Links (1 endpoints) • GET /links/shares{mediaTypeExtension}: Get Link Shares 🔧 Profiles (7 endpoints) • POST /profiles/{id}/schedules/update{mediaTypeExtension}: Update Profile Schedules • GET /profiles/{id}/schedules{mediaTypeExtension}: Get Profile Schedules • GET /profiles/{id}/updates/pending{mediaTypeExtension}: Get Pending Updates • POST /profiles/{id}/updates/reorder{mediaTypeExtension}: Reorder Profile Updates • GET /profiles/{id}/updates/sent{mediaTypeExtension}: Get Sent Updates • POST /profiles/{id}/updates/shuffle{mediaTypeExtension}: Shuffle Profile Updates • GET /profiles/{id}{mediaTypeExtension}: Get Profile Details 🔧 Profiles{Mediatypeextension} (1 endpoints) • GET /profiles{mediaTypeExtension}: List Profiles 🔧 Updates (7 endpoints) • POST /updates/create{mediaTypeExtension}: Create Status Update • POST /updates/{id}/destroy{mediaTypeExtension}: Delete Status Update • GET /updates/{id}/interactions{mediaTypeExtension}: Get Update Interactions • POST /updates/{id}/move_to_top{mediaTypeExtension}: Move Update to Top • POST /updates/{id}/share{mediaTypeExtension}: Share Update Now • POST /updates/{id}/update{mediaTypeExtension}: Edit Status Update • GET /updates/{id}{mediaTypeExtension}: Get Update Details 🔧 User{Mediatypeextension} (1 endpoints) • GET /user{mediaTypeExtension}: Get User Details 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Path parameters and identifiers • Query parameters and filters • Request body data • Headers and authentication Response Format: Native Bufferapp API responses with full data structure Error Handling: Built-in n8n HTTP request error management 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Cursor: Add MCP server SSE URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n HTTP request handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.

How It Works This workflow automates social media content creation and posting. It starts by receiving raw text input through a Webhook (for example, from LINE Bot) and saves the content into a Notion database for centralized storage. Next, GPT-4 generates platform-specific captions for Instagram, Threads, X/Twitter, and Blog. Instagram captions are prepared for automatic publishing, while Threads, X, and Blog drafts are stored in Notion for later review and manual posting. The workflow then fetches book cover images or other visuals from external APIs such as Google Books, OpenBD, or OpenLibrary. The chosen image is uploaded to Cloudinary to generate a secure, optimized URL. Finally, the Instagram Graph API is used to create a media container and publish the post automatically with the caption and image. This way, the workflow provides both automation for Instagram and reusable drafts for other platforms. Requirements Notion account with a database configured for text and captions Cloudinary account for image hosting Instagram Business account connected to the Meta Developer Platform GPT-4 (via OpenAI or LangChain node in n8n) Setup Instructions Configure the Webhook node to capture text input. Update the Notion database ID and property keys to match your schema. Add Cloudinary credentials (【cloud_name】, 【upload_preset】) in the HTTP Request node. Set 【IG_ACCESS_TOKEN】 as an environment variable. Activate the workflow and test with a sample input. Customization Adjust caption prompts for style, hashtags, or character limits. Add additional GPT nodes for more platforms. Replace or extend image sources as needed. Integrate a scheduler (Cron node) to post at specific times.

Description This automation detects when you post a Tiktok video, automatically downloads the video without watermark, stores it in Google Drive, and reposts your Tiktok video to other social media platforms. All on autopilot. So you can grow your presence on multiple platforms, without more work. You can also easily add steps to customize captions per platform. Youtube Tutorial https://www.youtube.com/watch?v=yHbyEb-fBGY 📄 Documentation Full Step-by-Step Documentation How It Works 1. Trigger RSS feed triggers when you post a new Tiktok video 2. Fetch Video Download the newly posted Tiktok video (without watermark) Store video in Google Drive 3. Publish to Social Media Connect Blotato to your social accounts Choose your social accounts Post immediately or schedule for later Setup & Required Accounts Enable "Verified Community Nodes" in your n8n Admin Panel Install "Blotato" verified community node Sign up for Blotato: create API key at Dashboard → API Keys, then create your Blotato credential and connect your social accounts Sign up for RSS.app: create feed from your TikTok profile, copy RSS URL into the RSS Feed Trigger node, and set "Number of Posts" to 1 Google Drive account to store downloaded Tiktok videos Tips & Tricks Ensure your RSS feed outputs only 1 item at a time For multiple posts within an hour, set RSS.app refresh to 15 minutes (paid plan) While testing: enable only 1 social platform, deactivate others, and consider scheduling posts in the future After the workflow finishes, check your social account for the final post; if successful, enable another social media node and continue testing Troubleshooting Check your Blotato API Dashboard to see every request, response, and error. Click on a request to see the details. Need Help? In the Blotato web app, click the orange button on the bottom right corner. This opens the Support messenger where I help answer technical questions. Connect with me: Linkedin | Youtube

How it works Schedule Trigger — runs daily at 10:00 (adjustable). RSS Feed Read — collects fresh AI/LLM news from multiple feeds. AI Agent — analyzes news, picks the most viral story, and drafts a 30-second script. OpenAI nodes — create: a short, catchy video title a short caption for social media a long caption with hashtags HeyGen API — generates a vertical avatar video (9:16) using your selected avatar_id, voice_id, and optional background video. Wait node — checks the processing status of the video. Blotato API — uploads the video and captions for publishing. Optional publish nodes — preconfigured for TikTok, Instagram, YouTube, Facebook, etc. (disabled by default). Requirements n8n v1.105.4+ (cloud or self-hosted) HeyGen account with API key + avatar_id + voice_id Blotato account with API key and platform IDs Setup steps Import the workflow into n8n. Create credentials in n8n (⚠ do not hardcode keys): HeyGen API Key Blotato API Key Open the Setup Heygen node: Paste your heygen_api_key Add your avatar_id and voice_id Optionally change background_video_url Open the Prepare for Publish node: Paste your blotato_api_key Add IDs for TikTok, YouTube, Instagram, etc. Adjust the Schedule Trigger to your preferred time/frequency. (Optional) Enable the publish nodes if you want direct uploads to your platforms. Customization Topic — edit the AI Agent’s prompt to switch from AI/LLM news to any topic (crypto, marketing, tech, etc.). Language — update prompts for different output languages. Visuals — replace the HeyGen avatar, voice, or background video for a different look. Publishing — connect only the social platforms you actually use.

A workflow to send personalized emails with respective attachment. The workflow needs a pre-formatted CSV with file names and email IDs.

This n8n workflow automates WooCommerce order processing by capturing order updates via webhook and converting them into Discord notifications and Google Sheets entries. What This Workflow Does Automatically captures WooCommerce orders and sends real-time Discord notifications while logging paid orders to Google Sheets for tracking and reporting. Key Benefits Save 90% Time**: Eliminates manual order logging and monitoring Never Miss Orders**: Instant Discord alerts for all order activities 80% Faster Response**: Team gets structured order info immediately Dual Tracking**: Real-time alerts + permanent spreadsheet records Perfect For Ecommerce Teams**: Monitor orders without constantly checking admin panel Small Business Owners**: Professional order tracking without extra staff Fulfillment Teams**: Get organized order data for quick processing How It Works WooCommerce sends order webhook to n8n Order data is parsed and formatted beautifully All orders trigger Discord notifications (color-coded by status) Paid orders (PROCESSING status) are logged to Google Sheets Webhook confirms successful receipt to WooCommerce Features Smart Status Colors**: Yellow (pending), Blue (processing), Green (completed), Gray (cancelled) Rich Discord Embeds**: Customer info, items, shipping, totals - all formatted nicely Flexible Data Parsing**: Handles various WooCommerce webhook structures Indonesian Currency**: Proper IDR formatting for local businesses Product Thumbnails**: Shows product images in Discord notifications Setup Requirements n8n instance (self-hosted or cloud) Discord server with bot access Google account for Sheets WooCommerce admin access Quick Setup Import workflow JSON to n8n Add Discord bot token Connect Google Sheets OAuth Set WooCommerce webhook to n8n endpoint Create Google Sheet with required columns Test with a sample order Customization Options Change Discord embed colors for your brand Modify which order statuses get logged Add custom fields to Google Sheets Adjust currency and language settings Filter orders by specific conditions Google Sheets Columns Month (order date) Brand Name Web Order Number Expedition (shipping method) Tracking Number Status Future Enhancement Ideas Add SMS/WhatsApp customer notifications Connect to shipping label services Integrate with CRM for customer insights Add inventory management triggers Create sales analytics dashboard Support Created by Khmuhtadin Need customization? Contact us!

Simplify event planning with this automated n8n workflow. Triggered by incoming requests, it fetches speaker and audience data from Google Sheets, analyzes profiles and preferences, and generates optimized session recommendations. The workflow delivers formatted voice responses and updates tracking data, ensuring organizers receive real-time, tailored suggestions. 🎙️📊 Key Features Real-time analysis of speaker and audience data for personalized recommendations. Generates optimized session lineups based on profiles and preferences. Delivers responses via voice agent for a seamless experience. Logs maintain a detailed recommendation history in Google Sheets. Workflow Process The Webhook Trigger node initiates the workflow upon receiving voice agent or external system requests. Parse Voice Request** processes incoming voice data into actionable parameters. Fetch Database** retrieves speaker ratings, past sessions, and audience ratings from Google Sheets. Calculate & Analyze** combines voice request data with speaker profiles and audience insights for comprehensive matching. AI Optimization Engine** analyzes speaker-audience fit and recommends optimal session lineups. Format Recommendations** structures the recommendations for voice agent response. Voice Agent Response** returns formatted recommendations to the user with natural language summary and structured data. Update Tracking Sheet** saves recommendation history and analytics to Google Sheets. If errors occur, the Check for Errors node branches to: Format Error Response prepares an error message. Send Error Response delivers the error notification. Setup Instructions Import the workflow into n8n and configure Google Sheets OAuth2 for data access. Set up the Webhook Trigger with your voice agent or external system's API credentials. Configure the AI Optimization Engine node with a suitable language model (e.g., Anthropic Chat Model). Test the workflow by sending sample voice requests and verifying recommendations. Adjust analysis parameters as needed for specific event requirements. Prerequisites Google Sheets OAuth2 credentials Voice agent API or integration service AI/LLM service for optimization (e.g., Anthropic) Structured speaker and audience data in a Google Sheet Google Sheet Structure: Create a sheet with columns: Speaker Name Rating Past Sessions Audience Rating Preferences Updated At Modification Options Customize the Calculate & Analyze node to include additional matching criteria (e.g., topic expertise). Adjust the AI Optimization Engine to prioritize specific session formats or durations. Modify voice response templates in the Voice Agent Response node with branded phrasing. Integrate with event management tools (e.g., Eventbrite) for live data feeds. Set custom error handling rules in the Check for Errors node. Discover more workflows – Get in touch with us

Description This workflow automates the evaluation of interviewer feedback using AI. It retrieves raw notes from Google Sheets, processes them through GPT-4o-mini for structured scoring, validates outputs, and calculates weighted quality scores. The system provides real-time Slack feedback to interviewers, logs AI errors for transparency, and recommends training if the feedback quality is low. What This Template Does (Step-by-Step) ⚡ Manual Trigger – Runs the workflow manually to start evaluation. 📋 Fetch Raw Feedback Data (Google Sheets) – Reads all feedback entries (Role, Stage, Interviewer Email, Feedback Text, row_number). 🧠 AI Quality Evaluator (Azure GPT-4o-mini) – Processes feedback into structured JSON across 5 dimensions. 🔍 Analyze Feedback Quality (LLM Chain) – Applies scoring rules (Specificity, STAR, Bias-Free, Actionability, Depth) and outputs structured JSON. ✅ Validate AI Response – Ensures AI output isn’t undefined or malformed. 🚨 Log AI Errors (Google Sheets) – Records invalid AI responses for debugging and auditing. 🔄 Parse AI JSON Output (Code Node) – Converts AI JSON text into structured n8n objects with error handling. 🧮 Calculate Weighted Quality Score (Code Node) – Computes final weighted score (0–100), generates flags, formats vague phrases, and preserves context. 💾 Save Scores to Spreadsheet (Google Sheets) – Updates the original feedback row with Score, Flags, and AI JSON. 💬 Send Feedback Summary to Interviewer (Slack) – Sends interviewers a structured Slack report (score, flags, vague phrases, STAR improvement tips). 🎯 Check if Training Needed – Applies threshold logic: if score < 50, route to training recommendations. 📚 Send Training Recommendations (Slack) – Delivers STAR method guides and bias-free interviewing resources to low scorers. Prerequisites Google Sheets (Raw_Feedback + Error Log Sheet) Azure OpenAI API credentials (for GPT-4o-mini) Slack API credentials (for sending feedback & training notifications) n8n instance (cloud or self-hosted) Key Benefits ✅ Automated interview feedback quality scoring ✅ Bias detection and vague feedback flagging ✅ Real-time Slack feedback to interviewers ✅ Error logging for AI reliability tracking ✅ Training recommendations for low scorers ✅ Audit trail maintained in Google Sheets Perfect For HR & Recruitment teams ensuring structured interviewer feedback Organizations enforcing STAR method & bias-free hiring Teams seeking continuous interviewer coaching Companies needing audit-ready records of interview quality