Workflow Templates

This template deploys a multi-agent system that fully automates advanced stock analysis. It uses a central AI orchestrator to call specialized sub-workflows, synthesizing technical, fundamental, and news sentiment data into a single, actionable report delivered to your inbox. All API Keys can be acquired for free! How it Works Orchestration:** An AI Agent acts as the central "brain," managing the analysis pipeline. It's triggered either on a schedule for a list of stocks or manually for a single ticker. Specialist Agents (Tools):** The orchestrator invokes three sub-workflows as tools to gather intelligence: Technical Analysis: Fetches TA data (RSI, MACD, Bollinger Bands) and uses a vision-AI to analyze the stock's chart, identifying trends and patterns. Fundamental Analysis: Retrieves financial statements (Income, Balance Sheet) to generate a summary of the company's financial health and valuation. News Sentiment Analysis: Aggregates and analyzes market news to determine overall sentiment and identify key discussion topics. Synthesis & Delivery:** The main agent synthesizes all findings to formulate a final recommendation (Buy, Hold, Sell), generates a professional HTML report, and delivers it via email. Setup (Est. 10-15 mins) This is an advanced, multi-workflow template. Please follow the steps precisely. Split Modules: Separate the 5 color-coded modules on this canvas into 5 new, individual workflows. Acquire APIs: Acquire the 7 APIs needed for this workflow. These need Credentials: Gemini,, OpenRouter, SMTP, Alpaca. These just need to be pasted in: AlphaVantage, TwelveData, Chart-Img. Configure & Link: Insert your API keys and email, then re-link the Execute Workflow and Tool nodes to connect your new workflows. Activate: Toggle all 5 workflows to "Active." ➡️ For the complete, detailed guide, visit: https://docs.google.com/document/d/1Ri_GfuIlc0QVm1aDrWJjRCg_2vWRCrw_SjRV9cBoKmw/edit?usp=sharing

How It Works Daily triggers automatically fetch fleet data and simulate key performance metrics for each vehicle. An AI agent analyzes maintenance requirements, detects potential issues, and routes alerts according to urgency levels. Fleet summaries are aggregated, logged into the database for historical tracking, and AI-enhanced insights are parsed to provide actionable information. Slack notifications are then sent to relevant teams, ensuring timely monitoring, informed decisions, and proactive fleet management. Setup Steps Configure daily triggers to automatically fetch, process, and update fleet data. Connect Slack, the database, and AI APIs to enable notifications and analytical processing. Set AI parameters and provide API keys for accessing the models and ensuring proper scoring. Configure PostgreSQL to log all fleet data, summaries, and alerts for historical tracking. Define Slack channels to receive real-time alerts, summaries, and actionable insights for the team. Prerequisites Slack workspace, database access, AI account (OpenRouter or compatible), fleet data source, n8n instance Use Cases Fleet monitoring, predictive maintenance, multi-vehicle management, cost optimization, emergency alerts, compliance tracking Customization Adjust AI parameters, alert thresholds, Slack message formatting, integrate alternative data sources, add email notifications, expand logging Benefits Prevent breakdowns, reduce manual monitoring, enable data-driven decisions, centralize alerts, scale across vehicles, AI-powered insights

How It Works This workflow automates insurance premium adjustments by analyzing telematics data with AI-driven risk assessment and syncing changes across underwriting systems. Designed for carriers, actuaries, and underwriting teams managing usage-based insurance programs, it eliminates manual review of driving patterns, speed, braking, and mileage while ensuring compliance. Scheduled execution fetches telematics data via HTTP from vehicles or mobile apps. Anthropic Claude analyzes behavior with structured output parsing, generating risk scores from acceleration, harsh braking, speeding, and time-of-day driving. Calculator node applies scores to premiums, and HTTP node updates policy systems. High-risk cases trigger Gmail alerts to underwriting managers and Slack notifications to claims teams. Final HTTP sync ensures compliance across all systems. Setup Steps Configure Schedule node for desired analysis frequency Set up HTTP node with telematics platform API Add Anthropic API key to Chat Model node for behavioral risk analysis Connect policy management system API credentials in HTTP nodes Integrate Gmail and Slack with underwriting team addresses Prerequisites Anthropic API key, telematics data platform API access Use Cases Auto insurance carriers implementing usage-based insurance programs Customization Modify AI prompts to incorporate additional risk factors like weather conditions Benefits Reduces premium calculation time from days to minutes

Description Start your day with the perfect outfit suggestion tailored to the local weather. This workflow runs automatically every morning, fetches the current weather forecast for your city, and uses an AI stylist to generate a practical, gender-neutral outfit recommendation. It then designs a clean, vertical image card with all the details—date, temperature, weather conditions, and the complete outfit advice—and posts it directly to your Slack channel. It’s like having a personal stylist and weather reporter deliver a daily briefing right where your team communicates. Who’s it for Teams working in a shared office location who want a fun, daily update. Individuals looking to automate their morning routine and take the guesswork out of getting dressed. Community managers wanting to add engaging, automated content to their Slack workspace. Anyone interested in a practical example of combining weather data, AI, and dynamic image generation. How it works / What it does Triggers Daily: The workflow automatically runs every day at 6 AM. Fetches Weather: It gets the current weather forecast for a specified city (default is Tokyo) using the OpenWeatherMap node. Consults AI Stylist: The weather data is sent to an AI model, which acts as a stylist and returns a practical, gender-neutral outfit suggestion. Designs an Image Card: It dynamically creates a vertical image and writes the date, detailed weather info, and the AI's full recommendation onto it. Posts to Slack: Finally, it uploads the completed image card to your designated Slack channel with a friendly morning greeting. Requirements An n8n instance. An OpenWeatherMap API Key. An OpenRouter API Key (or credentials for another compatible AI model). A Slack workspace and the necessary permissions to connect an app. How to set up Set Weather Location: In the Get Weather Data node, add your OpenWeatherMap API Key and change the city name if you wish. Configure AI Model: In the OpenRouter Chat Model node, add your API Key. Configure Slack: In the Upload a file node, add your Slack credentials and, most importantly, select the channel where you want the forecast to be posted. Adjust Schedule (Optional): You can change the trigger time in the Daily 6AM Trigger node. How to customize the workflow Change the AI's Personality: Edit the system message in the Generate Outfit Advice node. You could ask the AI to be a pirate, a 90s fashion icon, or a formal stylist. Customize the Image: In the Create Image Card node, you can change the background color, font sizes, colors, and the layout of the text. Use a Different Platform: Swap the Slack node for a Discord, Telegram, or Email node to send the forecast to your preferred platform.

How It Works Aggregates communication data from Slack, Microsoft Teams, Gmail, GitHub, and Confluence into a single, unified AI-powered analysis workflow designed for quality review and automated documentation updates. This solution is specifically aimed at teams managing distributed content and knowledge workflows across multiple platforms. It addresses the challenges of fragmented communication and isolated information silos that often prevent rapid content review and timely decision-making. The workflow begins with a scheduled trigger, followed by multi-source data collection, merging and normalizing inputs, Claude AI-powered analysis, validation and quality checks, formatting, and finally publishing updates to Notion and Confluence, accompanied by Slack notifications to ensure stakeholders are promptly informed. Setup Steps -Connect credentials: Slack API, Teams, Gmail OAuth, GitHub PAT. -Confluence API, Anthropic API key, Notion Integration. -Configure monitored channels/repositories. -Set schedule frequency. -Map output destinations (Notion/Confluence). -Test merged output before enabling automation. Prerequisites Slack workspace, Teams account, Gmail access, GitHub repository, Confluence space, Anthropic API key, Notion workspace, n8n instance. Use Cases Content review teams processing feedback, documentation teams aggregating updates, QA teams reviewing communications Customization Add/remove source nodes, adjust Claude prompts for analysis type, modify output destinations Benefits Saves 6+ hours weekly, eliminates missed content, AI-driven quality assurance

🚀 AI-Powered Email to Purchase Order Workflow Automatically scan your inbox for new purchase order requests, extract order details using Gemini AI, and log them into Google Sheets — all without manual effort. ✨ Core Capabilities ⏱ Runs every minute to check unread emails 📧 Filters emails by subject 🤖 Uses Gemini AI to summarize email content & extract structured order details 📅 Formats dates into ISO calendar weeks 📊 Adds product data from Google Sheets to complete order info ✅ Appends final purchase order records into a Google Sheet (without replacing previous ones) 🛠 Setup Essentials 📩 Gmail account for fetching unread emails 🔑 Google Gemini (PaLM) API credentials 📒 Google Sheet with predefined purchase order headers 📖 Activation Guide ⚙️ Configure Gmail & Google Sheets credentials in n8n 🎯 Adjust the subject filter to match your email rules 🔌 Connect Gemini AI with your API credentials 📑 Create a Google Sheet with the required headers ▶️ Activate the workflow and let it run in the background 🎨 Customizing the Workflow 🔍 Email Filters → Change keywords in the filter node to match your purchase order email subjects 🏷 Order Fields → Modify Set and Append to Google Sheet nodes if your schema differs ✍️ AI Instructions → Adjust the AI Agent’s prompt to fit your company’s email style or product details ⏲ Frequency → Update the Cron node if you want to scan emails less often 📂 Target Google Sheet → Point to a different sheet or tab depending on your department or customer

Automated Crypto Forecast Pipeline using Decodo and Gmail Sign Up for Decodo HERE for discount This template scrapes CoinGecko pages for selected coins, converts metrics into clean JSON, stores them in an n8n Data Table, generates 24-hour direction forecasts with Gemini, and emails a concise report. Who’s it for? Crypto watchers who want automated snapshots, forecasts, and a daily email—without managing a full data stack. How it works 30-min schedule loops coins, scrapes CoinGecko (Decodo), parses metrics, and upserts to Data Table. 18:00 schedule loads last 48h data. Gemini estimates next-24h direction windows. Email is rendered (HTML + plain text) and sent. How to set up Add Decodo, Gmail, and Gemini credentials. Open Configure Coins to edit tickers. Set Data Table ID. Replace recipient email. (Self-host only) Community node Decodo required. @decodo/n8n-nodes-decodo (community)

AI-Powered Lead Triage and Response System 🤖 This advanced workflow creates a customized, embedded lead-capture form, automatically logs client data to a spreadsheet, and uses AI to instantly analyze and summarize the lead for rapid human follow-up. How it works A potential client fills out the Gurey AI partnership form (built-in n8n form trigger). The workflow immediately logs all submitted data to a designated Google Sheet. An AI Agent receives the raw data and is instructed to condense it into a factual, concise client summary. A second AI Agent generates a personalized welcome and confirmation email to the client, using the AI-generated summary and original goals to make the email highly relevant. Set up steps (2-3 minutes) ⏱️ Google Sheets: Create a new Google Sheet to log your client data, making sure the column headers match the form field names (e.g., "First Name", "📧 Email", etc.). Credentials: Add two credentials to your n8n instance: Google Sheets OAuth2 API OpenRouter API (for the AI Agents) Update Nodes: Connect the new credentials to the "Log client data" and "OpenRouter Chat Model" nodes. Finalize: Open the "Log client data" node and select your newly created Google Sheet. Detailed descriptions and links are available in the sticky notes within the workflow. 🤓

Who's it for This template is designed for content creators, podcasters, businesses, and researchers who need to transcribe long audio recordings that exceed OpenAI Whisper's 25 MB file size limit (~20 minutes of audio). How it works This workflow combines n8n, FileFlows, and OpenAI Whisper API to transcribe audio files of any length: User uploads an MP3 file through a web form and provides an email address n8n splits the file into 4 MiB chunks and uploads them to FileFlows FileFlows uses FFmpeg to segment the audio into 15-minute chunks (safely under the 25 MB API limit) Each segment is transcribed using OpenAI's Whisper API (configured for French by default) All transcriptions are merged into a single text file The complete transcription is automatically emailed to the user Processing time: Typically 10-15 minutes for a 1-hour audio file. Requirements n8n instance (self-hosted or cloud) FileFlows with Docker and FFmpeg installed OpenAI API key (Whisper API access) Gmail account for email delivery Network access between n8n and FileFlows Setup Complete setup instructions, including FileFlows workflow import, credentials configuration, and storage setup, are provided in the workflow's sticky notes. Cost OpenAI Whisper API: $0.006 per minute. A 1-hour recording costs approximately $0.36.

AI-Powered Incident Report Generator with Severity Alerts & PDF Delivery Description Automate incident reporting from detection to delivery with AI-driven analysis and professional documentation. This workflow transforms raw incident details into a clear, structured incident report, performs AI-based root cause and impact analysis, triggers real-time alerts for high-severity issues, and delivers a polished PDF report to your operations team — all with minimal manual effort. What This Workflow Does Turns incident reporting into a fast, reliable, and repeatable process: 🚨 Receive Incident Details – Accepts incident data via webhook (ID, severity, systems affected, description). 🧠 AI Analysis – Uses AI to generate root cause analysis, impact assessment, and recommended actions. ⚠️ Severity Check – Automatically detects high-severity incidents. 💬 Slack Alerts – Sends instant alerts for critical incidents to the ops channel. 📄 Professional Report Generation – Formats incident details into a clean, readable report. 📑 PDF Creation – Converts the report into a downloadable PDF. 📧 Email Delivery – Sends the report to the operations team. ☁️ Secure Storage – Saves a copy to Google Drive for records and compliance. Key Features 🤖 AI-Generated Analysis – Automated root cause, impact, and action recommendations ⚡ Real-Time Severity Alerts – Immediate Slack notifications for high-risk incidents 📄 Professional PDF Reports – Clean, structured, and ready for audits 📧 Automated Delivery – Email reports without manual follow-ups ☁️ Centralized Storage – Securely archive reports in Google Drive Perfect For 🏢 IT & Operations Teams 🔐 Security & Compliance Teams 🧑‍💼 Internal Ops & Risk Management 🏭 Enterprises handling system or process incidents 📊 Teams needing audit-ready incident documentation What You’ll Need Required Integrations 🤖 OpenAI – Incident analysis and recommendations 📄 HTMLCSS to PDF – Convert reports into PDFs 📧 Gmail – Send incident reports 💬 Slack – Severity-based alerts Optional ☁️ Google Drive – Store incident reports securely Quick Start 1️⃣ Import the workflow into n8n 2️⃣ Connect OpenAI, Slack, Gmail, and HTMLCSS to PDF credentials 3️⃣ Update Slack channel and email recipients 4️⃣ Trigger the webhook with incident data 5️⃣ Activate the workflow Expected Results ⚡ Faster incident response 🤖 Consistent AI-driven analysis 📉 Reduced manual reporting work 📄 Audit-ready incident documentation 🚨 Immediate visibility into critical incidents

Run professional email campaigns with A/B testing, Google Sheets tracking, and Slack analytics. FEATURES: A/B testing with automatic 50/50 split Email validation and deduplication Batch processing with anti-spam delays Professional HTML email templates Complete campaign tracking and logging Real-time Slack notifications WORKFLOW: Trigger campaign (manual, scheduled Monday 9AM, or webhook) Read and validate contacts from Google Sheets Assign A/B variants automatically Send personalized HTML emails via Gmail Log results and update contact status Slack notifications on start/completion/errors SETUP: Create Google Sheet with 4 tabs: Contacts: name, email, segment, sent, unsubscribed, sent_date, campaign, variant, error_msg Campaigns: Campaign ID, Name, Start Date, Total Contacts, Valid, Invalid, Already Sent, Unsubscribed, Variant A, Variant B, Status, End Date, Duration Send Log: Timestamp, Campaign ID, Email, Name, Variant, Subject, Status Metrics: Campaign ID, Opens, Clicks, Unsubscribes Replace YOUR_DOCUMENT_ID in all Sheets nodes Connect Gmail credentials Connect Slack (#marketing, #errors channels) CUSTOMIZABLE: Company name, colors, logo in Configure Campaign node Email content and design in Prepare Email node A/B test subjects Batch size and delays IDEAL FOR: Newsletters, product launches, marketing campaigns, announcements, and any bulk email needs.

📊 Description Automate B2B lead discovery by identifying high-intent prospects directly from Reddit discussions using AI-powered intent analysis. 🎯🤖 This workflow scans Reddit for conversations related to CRM and marketing automation tools, analyzes snippets to detect buying intent, identifies relevant decision-makers on LinkedIn, enriches contact details via RocketReach, and logs qualified leads into Google Sheets. Running every three hours, it ensures your sales team never misses fresh outbound opportunities without manual research. 🚀📊 🔁 What This Template Does 1️⃣ Runs automatically every 3 hours to search Reddit for tool-related discussions. ⏰ 2️⃣ Extracts Reddit snippets, links, and highlighted keywords from search results. 🔍 3️⃣ Uses AI to classify buying intent as High, Medium, or Low. 🤖 4️⃣ Identifies the core problem and suggests a safe, non-salesy outreach angle. 💬 5️⃣ Filters only High and Medium intent opportunities. 🚦 6️⃣ Searches LinkedIn for matching decision-makers based on role and seniority. 👥 7️⃣ Enriches lead profiles with emails and company data using RocketReach. 📇 8️⃣ Saves qualified leads into Google Sheets with deduplication logic. 📊 9️⃣ Sends Slack alerts when enrichment fails or API limits are hit. 🚨 🔟 Sends Gmail alerts if any workflow error occurs. ✉️ ⭐ Key Benefits ✅ Discovers real buying intent directly from public Reddit discussions ✅ Eliminates manual lead research and qualification ✅ Uses AI for consistent, conservative intent classification ✅ Enriches leads with verified contact data automatically ✅ Builds a clean, ready-to-use outbound lead list in Google Sheets ✅ Runs continuously to capture fresh opportunities 🧩 Features Scheduled Reddit monitoring via SerpAPI AI-based intent detection using GPT-4o-mini Conservative intent scoring to avoid false positives LinkedIn decision-maker discovery RocketReach contact enrichment Google Sheets lead storage with update logic Slack alerts for API and enrichment issues Gmail-based error notifications Scalable batch processing 🔐 Requirements OpenAI API key (GPT-4o-mini) SerpAPI API key RocketReach API key Google Sheets OAuth2 credentials Slack API credentials Gmail OAuth2 credentials 🎯 Target Audience B2B sales and outbound teams Growth and demand-generation teams Lead generation agencies SaaS founders targeting niche audiences RevOps teams automating prospect research