by Evoort Solutions
TikTok Transcript Generator Overview This automated workflow extracts transcripts from TikTok videos by reading video URLs from a Google Sheet, calling the API via TikTok Transcript Generator, cleaning the subtitle data, and updating the sheet with transcripts. It efficiently handles batches, errors, and rate limits to provide a seamless transcription process. Key Features Batch processing:** Reads and processes multiple TikTok video URLs from Google Sheets. Automatic transcript generation:* Uses the *TikTok Transcript Generator API on RapidAPI**. Clean subtitle output:** Removes timestamps and headers for clear transcripts. Error handling:** Marks videos with no available transcript. Rate limiting:* Implements wait times to avoid API throttling on *RapidAPI**. Seamless Google Sheets integration:** Updates the same sheet with transcript results and statuses. API Used TikTok Transcript Generator API** Google Sheet Columns | Column Name | Description | |----------------|-----------------------------------------| | Video Url | URL of the TikTok video to transcribe | | Transcript | Generated transcript text (updated by workflow) | | Generated Date | Date when the transcript was generated (YYYY-MM-DD) | Workflow Nodes Explanation | Node Name | Type | Purpose | |--------------------------|-----------------------|-------------------------------------------------------------------| | When clicking ‘Execute workflow’ | Manual Trigger | Manually starts the entire transcription workflow. | | Google Sheets2 | Google Sheets (Read) | Reads TikTok video URLs and transcript data from Google Sheets. | | Loop Over Items | Split In Batches | Processes rows in smaller batches to control execution speed. | | If | Conditional Check | Filters videos needing transcription (URL present, transcript empty). | | HTTP Request | HTTP Request | Calls the TikTok Transcript Generator API on RapidAPI to fetch transcripts. | | If1 | Conditional Check | Checks for valid API responses (handles 404 errors). | | Code | Code (JavaScript) | Cleans and formats raw subtitle text by removing timestamps. | | Google Sheets | Google Sheets (Update)| Updates the sheet with cleaned transcripts and generation dates. | | Google Sheets1 | Google Sheets (Update)| Updates sheet with “No transcription available” message on error.| | Wait | Wait | Adds delay between batches to avoid API rate limits on RapidAPI. | Challenges Resolved Manual Transcription Effort:** Eliminates the need to manually transcribe TikTok videos, saving time and reducing errors. API Rate Limits:* Introduces batching and wait periods to avoid exceeding API usage limits on *RapidAPI**, ensuring smooth execution. Incomplete or Missing Data:** Filters out videos already transcribed and handles missing transcripts gracefully by logging appropriate messages. Data Formatting Issues:** Cleans raw subtitle data to provide readable, timestamp-free transcripts. Data Synchronization:** Updates transcripts back into the same Google Sheet row, maintaining data consistency and ease of access. Use Cases Content creators wanting to transcribe TikTok videos automatically. Social media analysts extracting text data for research. Automation enthusiasts integrating transcript generation into workflows. How to Use Prepare a Google Sheet with the columns: Video Url, Transcript, and Generated Date. Connect your Google Sheets account in the workflow. Enter your RapidAPI key for the TikTok Transcript Generator API. Execute the workflow to generate transcripts. View transcripts and generated dates directly in your Google Sheet. Try this workflow to automate your TikTok video transcriptions efficiently! Create your free n8n account and set up the workflow in just a few minutes using the link below: 👉 Start Automating with n8n Save time, stay consistent, and grow your LinkedIn presence effortlessly!
by Puspak
Workflow Overview This workflow automatically fetches the latest "Ask HN: Who is hiring?" posts from Hacker News, extracts individual job listings, cleans the raw text, converts them into structured job listings using Google Gemini AI, and saves them into Airtable. Components It’s a full end-to-end automation system combining: Algolia API** for HN data Text cleaning** Gemini AI (via LangChain)** for parsing job descriptions Structured JSON extraction** Airtable integration** to store the final data 🎯 Use Cases Automatically build a job board from HN posts Track startup hiring trends Feed remote job alerts into a CRM or Slack Enrich a hiring intelligence database 🔧 Nodes & Services Used HTTP Request (Algolia + Firebase API) SplitOut, Set, Filter, Function, Limit Google Gemini (via LangChain integration) Output Parser Structured Airtable (API token required) 📌 Credentials Required Google Gemini (PaLM/Gemini API) Airtable Personal Access Token Algolia Application ID & API Key (via Header Auth) 📦 Tags hacker-news, jobs, airtable, ai, gemini, automation, hn, langchain, workflow Screenshots
by Intuz
This n8n template from Intuz delivers a complete and automated solution to streamline your development workflow for a single repository. By embedding specific keywords and a JIRA issue ID within your git commit commands, this workflow automatically creates a Pull Request in GitHub and simultaneously updates the corresponding JIRA ticket. This provides a complete, seamless integration that eliminates manual steps and keeps your project management perfectly in sync with your codebase. How it works This workflow acts as a powerful bridge between your Git repository and your project management tools, driven entirely by the structure of your commit messages. GitHub Webhook Trigger: The workflow starts when a developer pushes a new commit to a specified repository in GitHub. Parse Commit Message: A Code node extracts key information from the commit message: The JIRA Issue Key (e.g., FF-1196). The base branch for the PR (e.g., development). Action commands like [auto-pr] and [taskcompleted]. Conditional PR Creation: An IF node checks if the [auto-pr] command is present. If yes, it uses the GitHub node to automatically create a pull request from the developer's branch to the specified base branch. If no, this step is skipped, allowing for multiple commits before a PR is made. Conditional JIRA Update: Another IF node checks for the [taskcompleted] command. If yes, it uses the JIRA node to transition the corresponding issue to your "Done" status (e.g., "Task Completed" or "In Review"). If no, the JIRA issue remains in its current state, perfect for work-in-progress commits. How to Use: Quick Start Guide Click the "Use Template" button to import this workflow into your n8n instance. Configure the GitHub Trigger: Open the "GitHub Push Trigger" node. It will display a unique Webhook URL. Copy this URL. In your GitHub repository, go to Settings > Webhooks > Add webhook. Paste the URL into the Payload URL field. Set the Content type to application/json. Under "Which events would you like to trigger this webhook?", select Just the push event. Click Add webhook. Connect Your Accounts: GitHub: Select your GitHub API credential in the "Create Pull Request" node. JIRA : Select your JIRA API credential in the "Update JIRA Issue Status" node. Customize the JIRA Transition (Important): Open the "Update JIRA Issue Status" node. In the Transition parameter, you need to set the specific status you want to move the issue to (e.g., 'Done', 'Completed', 'In Review'). You can use the ID or the exact name of the transition from your JIRA project's workflow. Activate the Workflow: Save your changes and activate the workflow. You're ready to automate! Example Commit Message: git commit -m "FF-1196 Implement OAuth login [auto-pr,development,taskcompleted]" Key Requirements to Use Template An active n8n instance. A GitHub account with repository admin permissions to create webhooks. A JIRA Cloud account with permissions to update issues. Developers who can follow the specified git commit message format. Connect with us Website: https://www.intuz.com/services Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz Get Started: https://n8n.partnerlinks.io/intuz For Custom Worflow Automation Click here- Get Started
by PDF Vector
Overview Transform your contract management process with this enterprise-grade workflow that handles the complete contract lifecycle - from initial intake through execution, monitoring, and renewal. This comprehensive solution combines AI-powered contract analysis with automated risk scoring, clause comparison, obligation tracking, and proactive alerts. It integrates with multiple data sources including email, SharePoint, contract CLM systems, and creates a centralized contract intelligence hub that prevents revenue leakage, ensures compliance, and accelerates deal velocity. What You Can Do This advanced workflow orchestrates a complete contract management ecosystem that monitors multiple channels (email, Google Drive, SharePoint, APIs) for new contracts and amendments. It extracts and analyzes over 50 contract data points using AI, performs multi-dimensional risk assessment across legal, financial, and operational factors, compares clauses against your approved template library, tracks all obligations and key dates with automated reminders, integrates with Salesforce/CRM for deal alignment, routes contracts through dynamic approval workflows based on risk scores, generates executive dashboards with contract analytics, and maintains a searchable repository with version control. The system handles complex scenarios including multi-party agreements, framework contracts with statements of work, international contracts requiring jurisdiction analysis, and M&A due diligence requiring bulk contract review. Who It's For Designed for enterprise legal operations teams managing thousands of contracts annually, procurement departments negotiating complex vendor agreements, contract managers overseeing multi-million dollar portfolios, compliance teams ensuring regulatory adherence across jurisdictions, sales operations needing faster contract turnaround, and C-suite executives requiring contract intelligence for strategic decisions. Essential for organizations in regulated industries (healthcare, finance, government) and companies undergoing digital transformation of their legal operations. The Problem It Solves Manual contract management creates massive operational risks and inefficiencies. Organizations typically have contracts scattered across emails, shared drives, and filing cabinets with no central visibility. This leads to missed renewal deadlines costing 5-10% of contract value, unauthorized contract variations creating compliance risks, obligation failures resulting in penalties and damaged relationships, and inability to leverage favorable terms across similar contracts. Studies show that inefficient contract management costs organizations up to 9% of annual revenue. This workflow creates a single source of truth for all contracts, automates tracking and compliance, and provides predictive insights to prevent issues before they occur. Setup Instructions Multi-Channel Integration: Configure connectors for email (Office 365/Gmail), Google Drive, SharePoint, and contract management systems PDF Vector Setup: Install PDF Vector node and configure API with enterprise rate limits Database Configuration: Set up PostgreSQL/MySQL for contract repository with proper indexing Template Library: Upload your standard contract templates and approved clause library Risk Framework: Configure risk scoring matrix for your industry (legal, financial, operational risks) Approval Matrix: Define approval routing based on contract value, type, and risk score CRM Integration: Connect to Salesforce/HubSpot for opportunity and account alignment Notification Setup: Configure Slack/Teams channels and email distribution lists Dashboard Creation: Set up Tableau/PowerBI connectors for executive reporting Security Configuration: Enable encryption, audit logging, and role-based access controls Key Features Intelligent Intake System**: Monitor email attachments, shared folders, CRM uploads, and API submissions Advanced AI Extraction**: Extract 50+ data points including nested obligations and conditional terms Multi-Dimensional Risk Scoring**: Analyze legal, financial, operational, and reputational risks Clause Library Comparison**: Compare against approved templates and flag deviations Obligation Management**: Track deliverables, milestones, and SLAs with automated alerts Dynamic Approval Routing**: Route based on AI risk score, contract value, and deviation analysis Version Control & Redlining**: Track all changes and maintain complete audit trail Salesforce Integration**: Sync contract data with opportunities and accounts Predictive Analytics**: Forecast renewal likelihood and negotiation outcomes Bulk Processing**: Handle M&A due diligence with parallel processing of hundreds of contracts Multi-Language Support**: Process contracts in 15+ languages with automatic translation Executive Dashboards**: Real-time visibility into contract portfolio and risk exposure Customization Options Implement industry-specific modules for healthcare (BAAs, DPAs), financial services (ISDAs, loan agreements), technology (SaaS, licensing), or government contracting. Add AI models trained on your historical contracts for better extraction accuracy. Create custom risk factors for emerging regulations like AI governance or ESG compliance. Build integration with specific CLM systems (Ironclad, Docusign CLM, Icertis). Implement advanced analytics including contract similarity scoring, win-rate analysis by clause variations, and automatic playbook generation. Add blockchain integration for smart contract execution and configure automated contract assembly for standard agreements. Note: This workflow uses the PDF Vector community node. Make sure to install it from the n8n community nodes collection before using this template.
by Risper
🤖AI-Powered Appointment Scheduling with Google Calendar & Sheets Virtual Receptionist Automate customer conversations with an AI-powered virtual receptionist. This workflow can chat naturally with clients, answer general business questions (like services, location, and hours), check availability in Google Calendar, book appointments, and save customer details in Google Sheets. Fully customizable for any business type — salons, clinics, agencies, consultants, and more. 📖 How It Works Welcome the customer when the customer says hi AI greets warmly: “Hello! I’m [AI name] from [Business name].” Answer general questions Provides instant replies about services, pricing, business location, hours, and availability. Understand their need Identifies the service requested and preferred time. Check availability Queries Google Calendar for open slots. Gather customer details Collects name, phone, and email (optional). Confirm booking Creates the appointment in Google Calendar. Save records Logs booking and customer info into Google Sheets. ⚙️ Setup Steps (Quick) Connect your Google Calendar and Google Sheets accounts. Add your business details (name, type, services, hours, policies) to the Business Info Sheet. Configure your OpenAI API key (or use n8n free credits). Optional: Connect Twilio WhatsApp for direct chat responses. 🏢 Example Business Info (Google Sheet) | business_id | business_name | business_type | location | phone | email | services | calendar_id | timezone | currency | working_hours | ai_name | ai_personality | ai_role | emergency_available | booking_advance_days | cancellation_hours | |-------------|-----------------|---------------------|----------------------------------|-----------------|---------------------------|----------|-----------------------|----------|----------|--------------------------------|---------|-----------------------------------|------------------------------------------------------------------------------------------------|----------------------|----------------------|-------------------| |001| Luxe Hair Studio | Hair & Beauty Salon | 123 Main Street, New York, NY 10001 | 1 (XXX) XXX-XXXX | yourbusiness@email.com | “Haircut & Styling (60 minutes, $3500…)Hair Coloring (120 minutes, $8000…)…” | calendar-id-here | GMT -3 | USD | Mon–Sat: 9:00 AM – 7:00 PM, Sun: Closed | bella | Friendly, Stylish, Professional | Manages bookings, answers FAQs, recommends services, gives beauty tips, sends reminders, etc. | no | 10 | 24 | ✅ Purpose: Supplies context (services, pricing, hours, AI personality, booking policies). 💡 The AI uses this sheet to answer general business questions (e.g., “Where are you located?”, “Do you do hair colouring?”, “What are your working hours?”). 📊 Appointments Sheet Example | client_number | client_name | event_id | summary | services | |----------------|-------------|-----------|----------------------------------|----------| | 001 | Sarah Lee | evt-10293 | Appointment with Sarah Lee – Haircut & Styling | Haircut & Styling | | 002 | John Smith | evt-10294 | Appointment with John Smith – Highlights | Highlights | ✅ Purpose: Logs confirmed bookings with service details and links back to Google Calendar. 💡 Features ✅ AI receptionist with conversation memory ✅ Answers FAQs – location, services, hours, pricing ✅ Google Calendar integration for real-time availability ✅ Google Sheets integration for customer records & reporting ✅ Customizable AI name, role, and personality 🔑 Who It’s For Salons & Spas** – Manage bookings and FAQs Clinics & Health Services** – Automated scheduling + patient info Agencies & Consultants** – Answer inquiries + schedule meetings Any Service Business** – Save time, improve customer experience
by Cuong Nguyen
Description: Turn your n8n workflow into an automated competitive intelligence unit. This template monitors competitor activities across blog feeds and YouTube channels to detect strategic shifts. Instead of simply aggregating links, it uses Apify to fetch full video transcripts and Google Gemini to analyze the content's underlying message, tone, and positioning. The final output is a structured strategic briefing sent to Telegram and archived in Notion for long-term research. Who is this for This workflow is designed for market researchers, founders, and content strategists who need deep insights into competitor activities without manually scrubbing video timelines or reading daily blog posts. How it works Ingest: The workflow pulls the latest articles from configured RSS feeds and searches for new videos on specific YouTube channels. Deep Dive: It automatically triggers an Apify actor to scrape the full transcript of any new video, ensuring the AI analyzes the spoken content rather than just metadata. Analyze: Google Gemini processes the consolidated text to identify core messages, hidden strategies, and suggests potential counter-tactics. Report: Telegram:** Delivers a concise HTML executive summary with direct source links. Notion:** Appends a comprehensive report to a database using formatted Notion Blocks (Headings, Toggles, and Bullet points). Requirements Apify Account:** A free account is sufficient to run the youtube-transcript-scraper. Services:** Google Gemini (PaLM), YouTube Data API, Telegram, Notion. How to set up Credentials: Configure your API keys for YouTube, Apify, Google Gemini, Telegram, and Notion. Notion Setup: Create a new Database with two properties: Name (Title) and date (Date). Copy the Database ID from the URL into the Notion node. Data Sources: Update the Channel ID in the YouTube nodes to track your target competitors. Update the Feed URL in the RSS nodes. How to customize the workflow Scale Up:** To monitor more competitors, duplicate the YouTube or RSS nodes in the "Data Sources" section and connect them to the Merge node. Adjust Analysis:* Modify the system prompt in the *Google Gemini** node to focus on specific intelligence needs (e.g., "Focus on pricing changes" or "Identify new feature releases"). Token Optimization:** Use the configuration in the Code - Data Prep node to limit the number of items processed daily if you are using free-tier API limits. Need Help or Want to Customize This? Contact me for consulting and support: Email: cuongnguyen@aiops.vn
by Peliqan
How it works This template is an end-to-end demo of a chatbot using business data from multiple sources (e.g. Notion, Chargebee, Hubspot etc.) with RAG + SQL. Peliqan.io is used as a "cache" of all business data. Peliqan uses one-click ELT to sync all your business data to its built-in data warehouse, allowing for fast & accurate RAG and "Text to SQL" queries. The workflow will write source data to Supabase as a vector store, for RAG searches by the chatbot. The source URL (e.g. the URL of a Notion page) is added in metadata. The AI Agent will decide for each question to use either RAG or Text-to-SQL or a combination of both. Text-to-SQL is performed via the Peliqan node, added as a tool to the AI Agent. The question of the user in natural language is converted to an SQL query by the AI Agent. The query is executed by Peliqan.io on the source data and the result is interpreted by the AI Agent. RAG is typically used to answer knowledge questions, often on non-structured data (Notion pages, Google Drive etc.). Text-to-SQL is typically used to answer analytical questions, for example "Show list of customers with number of open support tickets and add customer revenue based on invoiced amounts". Preconditions You signed up for a Peliqan.io free trial account You have one or more data sources, e.g. a CRM, ERP, Accounting software, files, Notion, Google Drive etc. Set up steps Sign up for a free trial on peliqan.io: https://peliqan.io Add one or more sources in Peliqan (e.g. Hubspot, Pipedrive...) Copy your Peliqan API key under settings and use it here to add a Peliqan connection Run the "RAG" workflow to feed Supabase, change the name of the table in the Peliqan node "Get table data". Update the list of tables & columns that can be used for SQL in the System Message of the AI Agent. Visit https://peliqan.io/n8n for more information. Disclaimer: This template contains a community node and therefore only works for n8n self-hosted users.
by DuyTran
Description: Overview This workflow generates automated revenue and expense comparison reports from a structured Google Sheet. It enables users to compare financial data across the current period, last month, and last year, then uses an AI agent to analyze and summarize the results for business reporting. Prerequisites A connected Google Sheets OAuth2 credential. A valid DeepSeek AI API (or replaceable with another Chat Model). A sub-workflow (child workflow) that handles processing logic. Properly structured Google Sheets data (see below). Required Google Sheet Structure Column headers must include at least: Date, Amount, Type. Setup Steps Import the workflow into your n8n instance. Connect your Google Sheets and DeepSeek API credentials. Update: Sheet ID and Tab Name (already embedded in node: Get revenual from google sheet). Custom sub-workflow ID (in the Call n8n Workflow Tool node). Optionally configure chatbot webhook in the When chat message received node. What the Workflow Does Accepts date inputs via AI chat interface (ChatTrigger + AI Agent). Fetches raw transaction data from Google Sheets. Segments and pivots revenue by classification for: Current period Last month Last year Aggregates totals and applies custom titles for comparison. Merges all summaries into a final unified JSON report. Customization Options Replace DeepSeek with OpenAI or other LLMs. Change the date fields or cycle comparisons (e.g., quarterly, weekly). Add more AI analysis steps such as sentiment scoring or forecasting. Modify the pivot logic to suit specific KPI tags or labels. Troubleshooting Tips If Google Sheets fetch fails: ensure the document is shared with your n8n Google credential. If parsing errors: verify that all dates follow the expected format. Sub-workflow must be active and configured to accept the correct inputs (6 dates). SEO Keywords (ẩn hoặc mô tả ngầm): Google Sheets report, AI financial report, compare revenue by month, expense analysis automation, chatbot n8n report generator, n8n Google Sheet integration
by Asfandyar Malik
Who’s it for For HR professionals, recruiters, and hiring managers who want to automate the initial CV screening and candidate evaluation process. This workflow helps teams efficiently assess applicants based on submitted answers and resume data — saving hours of manual review and ensuring fair, consistent scoring. How it works This workflow automates CV screening using Google Drive, Google Sheets, and Gemini AI. When a candidate submits a form with their answers and CV, the file is uploaded to Drive, converted from PDF to plain text, and merged with the form data. Gemini AI then analyzes both inputs, comparing skills, experience, and responses to generate consistency, job-fit, and final scores. Finally, the results are parsed, saved to Google Sheets, and automatically sorted by score, providing a ranked list of candidates for easy review. How to set up Connect your Google Drive and Google Sheets credentials in n8n. Configure your Form Trigger to capture candidate answers and CV uploads. Set up the Extract from File node to parse PDF files into text. Add your Gemini AI credentials securely using n8n’s credential system (no hardcoded keys). Execute the workflow once to verify that CVs are uploaded, analyzed, and ranked in the connected Google Sheet. Requirements n8n account (cloud or self-hosted). Google Drive and Google Sheets integrations. Gemini AI (Chat Model) API credentials. A connected form (e.g., Typeform, n8n Form Trigger) How to customize You can modify the AI prompt to align with your company’s job criteria or evaluation style. Add more scoring categories (e.g., education, technical skills, experience). Change the output destination — send results to Airtable, Notion, or Slack. Enhance it with dashboards or extra nodes for reporting and analytics. ⚠️ Disclaimer This workflow uses Gemini AI, which may require self-hosting for community node compatibility. Ensure that no personal or sensitive candidate data is shared externally when using AI services.
by Ranjan Dailata
Who this is for This workflow is designed for researchers, marketing teams, customer success managers, and survey analysts who want to automatically generate AI-powered summaries of form responses collected via Jotform — turning raw feedback into actionable insights. It is ideal for: Teams conducting market research or post-event surveys. Customer experience teams that collect feedback via forms and need instant, digestible summaries. Product managers seeking concise overviews of user comments and suggestions. Analysts who want to compare comprehensive vs. abstract summaries for richer intelligence. What problem this workflow solves Analyzing open-ended Jotform responses manually can be slow, repetitive, and error-prone. This workflow automates the process by generating two AI summaries for every response: Comprehensive Summary — captures all factual details from the response. Abstract Summary — rephrases and synthesizes insights at a higher, conceptual level. With this workflow: Each response is summarized instantly using Google Gemini AI. Both comprehensive and abstract summaries are automatically generated and stored. Data is persisted in Google Sheets, DataTable, and Google Docs for further use. What this workflow does This n8n workflow transforms Jotform submissions into structured summaries using Google Gemini. Step-by-Step Breakdown Webhook Trigger (Jotform Integration) Listens for new Jotform submissions using the Webhook node. Receives full form data via the Webhook response. Set the Input Fields Extracts and assigns key fields like: FormTitle SubmissionID Body (the formatted form data) Prepares structured JSON to feed into the AI summarization stage. Comprehensive & Abstract Summarizer Powered by Google Gemini Chat Model (models/gemini-2.0-flash-exp). Custom prompt: You are an expert comprehensive summarizer. Build a detailed and abstract summary of the following {{ $json.body.pretty }}. Produces two distinct summaries: comprehensive_summary abstract_summary Structured Output Parser Ensures Gemini output matches a defined JSON schema: { "comprehensive_summary": "", "abstract_summary": "" } Guarantees reliable downstream integration with Sheets and Docs. Persist on DataTable Saves both summaries into an n8n DataTable for historical tracking or visualization. Useful for teams running internal analytics within n8n Cloud or self-hosted environments. Append or Update Row in Google Sheets Writes both summaries into a connected Google Sheet. Columns: comprehensive_summary abstract_summary Create Google Document Automatically generates a Google Docs file titled: {FormTitle}-{SubmissionID} Acts as a per-submission record with a placeholder ready for AI summary insertion. Update Google Document Inserts both summaries directly into the newly created Google Doc: Comprehensive Summary: [Full detailed summary] Abstract Summary: [Conceptual summary] Each doc becomes a polished, shareable insight artifact. Concepts Used in the Workflow Comprehensive Summarization Comprehensive summarization captures every important detail in a factual, exhaustive way — ideal when accuracy and completeness matter. Goal: Provide a detailed understanding of user responses without losing nuance. Best For: Research surveys Customer service logs Support ticket summaries Feedback traceability Abstract Summarization Abstract summarization rephrases and synthesizes ideas, offering high-level insights rather than copying text. Goal: Capture the essence and implications of feedback — ideal for storytelling and executive reviews. Best For: Executive summaries Marketing insights Customer trend analysis Blog-style recaps Setup Instructions Pre-requisite If you are new to Jotform, Please do signup using Jotform Signup For the purpose of demonstation, we are considering the Jotforms Prebuilt Form as a example. Follow these steps to deploy and customize the workflow: Step 0: Local n8n This step is required for the locally hosted n8n only. Please make sure to setup and install ngrok and follow the steps to configure and run ngrok on your local with the n8n port. This is how you can run. ngrok http 5678 Copy the base URL ex: https://2c6ab9f2c746.ngrok-free.app/ as it will be utilized as part of the webhook configuration for the Jotform. Step 1: Configure Jotform Webhook Copy the webhook URL generated by n8n’s Jotform Trigger node. In your Jotform dashboard, go to: Settings → Integrations → Webhooks → Add Webhook If you are executing this workflow on a self hosted n8n instance, please follow the steps for setting up ngrok and format the Webhook URL so that the Jotform can make a Webhook POST over the public URL. Copy the Webhook URL generated by n8n. You can copy the URL by double clicking on the Jotform Trigger node. Make sure to replace the base url with the above Step 0, if you are running the workflow from your local machine. Step 2: Connect Google Gemini Navigate to n8n → Credentials → Google Gemini (PaLM API). Add API credentials and select the model: models/gemini-2.0-flash-exp Test the connection before proceeding. Step 3: Configure the Structured Output Parser Open the Structured Output Parser node. Ensure the schema includes: { "comprehensive_summary": "", "abstract_summary": "" } Modify or expand schema fields if additional summaries (e.g., “sentiment_summary”) are needed. Step 4: Connect Google Sheets Link your Google Sheets OAuth2 credentials. Specify: Document ID (Google Sheet URL) Sheet Name (e.g., “Sheet1”) Map columns to: comprehensive_summary abstract_summary Step 5: Enable DataTable Storage (Optional) Use the DataTable node to maintain a permanent database within n8n Cloud. Configure the schema fields for: comprehensive_summary abstract_summary Step 6: Generate and Update Google Docs Link your Google Docs account under n8n credentials. The workflow auto-creates and updates a doc per submission, embedding both summaries for easy sharing. How to Customize Add Sentiment Analysis** After generating the summary, insert another Google Gemini node to classify the tone of each response — for example, Positive, Neutral, or Negative. This helps you track user sentiment trends over time. Send Alerts for Urgent Feedback** Use an IF node to check if the abstract summary contains words such as “urgent,” “issue,” or “negative.” If triggered, automatically send an alert through Slack, Gmail, or Discord, so the team can respond immediately. Enable Multi-Language Support** Insert a Language Detection node before the Gemini summarizer. Once the language is detected, modify the summarizer prompt dynamically to summarize in that same language — ensuring localized insights. Add Topic Extraction** Include an additional Gemini text extraction node that identifies major topics or recurring themes from each response before summarization. This creates structured insights ready for analytics or tagging. Integrate with CRM or Ticketing Systems** Connect your workflow to HubSpot, Salesforce, or Zendesk to automatically create new records or tickets based on the feedback type or sentiment. This closes the loop between survey collection and actionable response. Summary This workflow automates survey intelligence generation from Jotform submissions — powered by Google Gemini AI — delivering dual-layer summarization outputs directly into Google Sheets, DataTables, and Google Docs. Benefits: Instant comprehensive and abstract summaries per submission. Ready-to-use outputs for reports, dashboards, and client deliverables.
by Yasser Sami
Outlook & Notion Knowledge Base Builder for AI Agents This n8n template lets you automatically build and maintain an AI-ready knowledge base from Outlook emails and Notion pages. It stores both sources in a Pinecone vector database so your AI agent can reference them when generating answers, extracting information, or drafting context-aware emails. Who’s it for Teams using Outlook for client or customer communications. Businesses maintaining documentation or notes in Notion. Developers or AI builders who want to create custom knowledge bases for intelligent agents. How it works / What it does Outlook Integration: When you move an email or thread to a specific folder (e.g., “knowledgebase”), the workflow triggers automatically. It captures the entire conversation, removes duplicates, and stores it in Pinecone under a namespace called "emails". The AI agent later uses these stored emails to learn tone, structure, and context for drafting responses. Notion Integration: When a page is added to a designated Notion database, the workflow triggers. The page content is extracted and embedded into Pinecone under the "knowledgebase" namespace. This allows your agent to use your Notion pages as factual reference material when answering questions. AI Agent Setup: Uses two Pinecone tools — one to reference Notion content (knowledge base) and another for emails (style & tone). Equipped with Cohere embeddings for multilingual support and OpenAI for conversation or drafting tasks. When queried, the agent retrieves relevant knowledge from both namespaces to produce accurate, context-rich replies. How to set up Import this template into your n8n account. Connect your Outlook account and specify which folder to watch (e.g., “knowledgebase”). Connect your Notion account and select your target database. Connect your Pinecone, Cohere, and OpenAI credentials. Activate the workflow — new Notion pages and Outlook threads will automatically update your knowledge base. Requirements n8n account. Microsoft Outlook account. Notion account and database. Pinecone account for vector storage. Cohere API key for embeddings. OpenAI API key for AI model. How to customize the workflow Namespaces:** Rename or expand namespaces (e.g., “sales_emails”, “internal_docs”) to organize knowledge types. Embeddings Model:** Replace Cohere with OpenAI embeddings if preferred. Agent Behavior:** Adjust the agent’s system message to change its tone or purpose (e.g., “act as a sales assistant”). Extra Sources:** Extend this workflow to include PDFs, websites, or Slack messages. Sync Schedule:** Modify trigger intervals to control how frequently updates are captured. This workflow automatically builds a living, AI-powered knowledge base from your Outlook and Notion data — perfect for intelligent support, research, or content generation.
by Nikitha
Who’s it for This template is ideal for IT support teams, internal helpdesk automation engineers, and developers building intelligent ticketing systems. It helps streamline ITSM workflows by automatically classifying user queries, retrieving relevant knowledge base entries, and triggering incident creation in ServiceNow. How it works / What it does This workflow uses Google Gemini and Qdrant to power an intelligent ITSM assistant. When a user submits a query via chat: The Text Classifier categorizes the input as an Incident, Request, or Other. Based on the category: Incidents are automatically logged in ServiceNow. Requests trigger an HTTP call (e.g., for provisioning or access). Other queries are routed to an AI Agent that searches the FAQBase in Qdrant and responds contextually. The Gemini LLM enriches responses and summaries. The Qdrant Vector Store retrieves semantically similar answers from a pre-embedded FAQ knowledge base. The Summarization Chain condenses incident details for better tracking. Sticky notes are used throughout the workflow to document each node’s purpose and improve maintainability. How to set up Connect your Google Gemini API, Qdrant, and ServiceNow credentials. Populate the FAQBase collection in Qdrant with your ITSM knowledge base. Deploy the webhook to receive chat inputs. Test the flow using the Manual Trigger node. Customize the classifier categories and Gemini prompts as needed. Requirements Google Gemini API access Qdrant vector database with embedded FAQ data ServiceNow account with API access n8n instance with LangChain nodes installed How to customize the workflow Modify the Text Classifier categories to suit your organization’s ticket types. Add more FAQ entries to Qdrant for broader coverage. Replace the HTTP Request node with integrations relevant to your ITSM tools. Adjust the Gemini prompts to reflect your tone and support style. Extend the workflow with Slack, Teams, or email notifications for ticket updates.