Workflow Templates

Summarize Gmail Support Emails with Gemini and Post to Slack This workflow automatically checks your Gmail inbox for new support emails, summarizes them using Google Gemini and posts concise summaries directly into Slack. Instead of manually reading long support emails, your team can stay updated with short, actionable insights in real-time. Who’s it for Customer Support Teams** – to stay on top of support tickets without reading lengthy emails. Operations Managers** – who need quick insights on issues raised by customers. Engineering Teams** – who want alerts and summaries of support escalations in Slack. Founders/Execs** – who prefer high-level summaries rather than full email threads. How it works Gmail Trigger – Check Support Emails The workflow runs every minute to detect new incoming emails in your support inbox. Forward Email to Gemini for Summarization Extracts the email body and prepares it for the LLM model. Gemini – Summarize Support Email Google Gemini condenses the email into a short, clear summary. Slack – Post Summary to Channel The summarized text is sent to your chosen Slack channel for instant visibility. How to set up Connect your Gmail account in n8n. Configure the Gmail Trigger to check emails from your support inbox (or apply filters like subject = “Support” or label = “Support”). Add your Google Gemini API credentials in n8n. Configure Gemini with a summarization prompt (e.g., “Summarize this email in 3 bullet points”). Connect your Slack account and select the target channel. Save and activate the workflow. Requirements n8n instance** (self-hosted or cloud). Google Account** with Gmail API enabled. Google Gemini API access** (API key). Slack workspace** with a bot token and permission to post messages. How to customize Change the email filters in the Gmail Trigger (e.g., only unread emails, only with label Support). Modify the summarization style in Gemini (bullet points, short paragraph, etc.). Choose a different Slack channel for posting (e.g., #support, #alerts, #dev-team). Add additional nodes for logging into Google Sheets or creating Jira tickets. Add-ons Save original emails + summaries into Google Sheets for tracking. Create Jira or Trello tasks automatically for high-priority issues. Add a translation step if support emails arrive in multiple languages. Integrate with Zendesk or Freshdesk if you also use those tools. Integrate OpenAI LLM models. Use Case Examples Customer sends a bug report → Gemini summarizes key points → Slack post alerts dev team instantly. Support email with long back-and-forth conversation → condensed into a 3-line summary in Slack. Team lead checks Slack daily instead of logging into Gmail to stay informed. Common Troubleshooting | Issue | Possible Cause | Solution | | -------------------------------- | ------------------------------------- | ---------------------------------------------------------------- | | No emails detected | Gmail Trigger not configured properly | Check Gmail Trigger settings and labels/filters. | | Gemini not summarizing | API key missing or invalid | Re-add Gemini API credentials in n8n. | | Slack not receiving messages | Slack auth expired or wrong channel | Reconnect Slack account and verify channel ID. | | Workflow runs but nothing posted | Summarization output empty | Adjust Gemini prompt or check email format (HTML vs plain text). | 👨‍💻Need help? If you need assistance setting up or customizing this workflow, feel free to reach out WeblineIndia. We can help you: Configure Gmail filters. Optimize Gemini prompts for better summaries. Connect Slack and set up advanced alerts. Extend the workflow with Sheets, Jira or other integrations.

Sort invoice PDFs from Gmail to Google Drive and Google Sheets Who’s it for Freelancers, finance teams, and small businesses that receive invoice PDFs by email and want them automatically saved to Google Drive and logged in Google Sheets—without manual downloading or copy-pasting. How it works / What it does This workflow watches your Gmail inbox for unread messages that match an invoice pattern (e.g., subject:invoice filename:pdf). For each email, it checks for attachments, uploads each PDF to a chosen Google Drive folder, and appends a new row to a Google Sheet with useful metadata: received time, sender, subject, filename, Drive link, and IDs. Finally, it marks the original email as read to avoid duplicates. How to set up Open the Config (Set) node and fill in: drive_folder_id (or leave blank for root) spreadsheet_id (from the Sheet URL) sheet_name (e.g., Invoices) Connect credentials for Gmail, Google Drive, and Google Sheets in each node. Adjust the Gmail search query if needed (language/vendor terms). Run once manually to verify data mapping, then activate. Requirements n8n with valid credentials for Gmail, Google Drive, and Google Sheets. A Google Sheet with appropriate headers (or let the workflow write new columns). How to customize the workflow Replace Gmail with IMAP or Microsoft Outlook if you don’t use Gmail; remove the “mark as read” step accordingly. Add parsing (e.g., extract invoice totals or vendor names via PDF/AI nodes) before the Sheets step. Route based on vendor: create subfolders dynamically in Drive and write to different tabs. Notify your team by adding Slack/Email nodes after logging to Sheets.

🧠 Overview This multi-agent n8n automation simulates a high-functioning marketing team. A strategic CMO agent receives your chat-based input, decides which specialist is best for the task, and delegates accordingly. Each specialist (copywriter, SEO expert, brand strategist, etc.) operates independently using fast, cost-effective GPT-4.1-mini models—resulting in parallel task execution and full-funnel marketing output with minimal human input. ⚙️ How It Works A chat message trigger listens for input (e.g. “Write a full email funnel for our SaaS launch”). The CMO Agent (powered by OpenAI O3) reads the message and determines intent, strategy, and needed outputs. It dynamically delegates tasks to the correct AI agent: Copywriter Agent Facebook Ads Specialist SEO Content Writer Email Marketer Social Media Manager Brand Voice Specialist Each agent uses a dedicated GPT-4.1-mini model to produce results instantly. Final content is returned to the user or passed along for integration with your CMS, ad platforms, or CRM. 🧰 Tools Used n8n** – Orchestrates the entire agent communication and routing logic OpenAI O3** – Advanced strategic reasoning (CMO Agent) OpenAI GPT-4.1-mini** – Fast and cost-efficient for specialist agents LangChain Nodes** – For multi-agent thinking and tool-based execution 🚀 Quick Start Import Workflow: Load the provided .json into your n8n instance Set Credentials: Add your OpenAI API key under “OpenAI Account” Deploy Webhook: Use the “When Chat Message Received” trigger Test It: Ask a question like: > “Generate a 7-day onboarding email sequence for a weight loss app” Watch the Agents Collaborate! 👩‍💼 Meet Your AI Marketing Team | Agent | Purpose | Model | Output | |-------|---------|-------|--------| | 🧠 CMO Agent | Strategy, delegation, and task routing | O3 | Central brain | | ✍️ Copywriter Agent | Website copy, CTAs, product descriptions | GPT-4.1-mini | Fast, human-like copy | | 📱 Facebook Ads Copywriter | Ad headlines, angles, A/B tests | GPT-4.1-mini | Platform-specific ad copy | | 🔍 SEO Writer | Blog posts, keyword-rich content | GPT-4.1-mini | Long-form content | | 📧 Email Specialist | Sequences, newsletters, welcome flows | GPT-4.1-mini | Funnel-ready emails | | 📲 Social Media Manager | Content calendars, posts, hashtags | GPT-4.1-mini | Cross-platform content | | 🎨 Brand Voice Specialist | Tone consistency, style guides | GPT-4.1-mini | On-brand text | 💡 Use Cases Product Launches:** Strategy → Landing Page → Emails → Social Posts Lead Nurture Funnels:** Segmented email campaigns with consistent tone Content Sprints:** Generate 30+ blog posts and socials in a day Ad Variations:** Create 20 ad angles in 30 seconds Brand Guidelines:** Enforce consistent messaging across departments 💸 Cost Optimization Use O3 sparingly—only for strategic tasks All specialist agents use GPT-4.1-mini for low-latency, high-efficiency generation Run agents in parallel to reduce wait times Add caching for repeat requests 🔧 Customization Tips Edit the tool prompts to match your brand’s style and niche Connect outputs to Google Sheets, Notion, Slack, or email tools Integrate with Zapier, Make.com, or your CRM for full automation 🔗 Connect With Me Website:** nofluff.online YouTube:** @YaronBeen LinkedIn:** Yaron Been 🏷️ Tags #n8n #OpenAI #MarketingAI #CMOagent #Automation #GPT4 #LangChain #NoCode #MarketingTeam #AIWorkflow #EmailMarketing #SEO #Copywriting #SocialMedia #DigitalMarketing #BrandVoice #AItools #MultiAgentSystem #ContentCreation #MarketingStrategy #ContentOps

Use cases are many: Automate Gmail tasks such as sending, replying, labeling, deleting, and fetching emails — all with AI assistance. Perfect for YouTubers managing viewer emails, sales teams handling inquiries, freelancers responding to client requests, or professionals keeping their inbox organized. Good to know At time of writing, each Gemini request is billed per token. See Gemini Pricing for updated details. The workflow uses Gmail labels (e.g., youtube-viewers, sales-inquiry, meeting-request, potential-clients, collaboration-requests) for classification — make sure these exist in your Gmail account. How it works Chat Trigger**: You interact with the agent via a chat interface (webhook). AI Agent**: Gemini-powered assistant interprets your instructions (send, reply, label, delete, fetch emails). Email Actions**: Based on your request, the assistant uses Gmail tools to act on emails (Send, Reply, Label, Delete, Get Many). Contact Lookup**: If only a name is provided, the agent checks Google Sheets for the matching email address. If not found, it prompts you to add it. Memory**: A buffer memory stores chat context so the assistant can maintain continuity across multiple interactions. Labeling**: Emails can be auto-labeled for better organization (e.g., client inquiries, meeting requests). How to use Send commands like: “Reply to John’s email with a follow-up about the project.” “Label Sarah’s email as potential-client.” “Delete the latest spam email.” The Gmail Agent will handle the request instantly and keep everything logged properly. Requirements Gmail account connected with OAuth2 credentials Google Gemini API key for AI processing Google Sheets for contact management Pre-created Gmail labels for organization Customising this workflow Add new Gmail labels for your workflow (e.g., Invoices, Support Tickets). Connect to a CRM (e.g., HubSpot, Notion, or Airtable) for syncing email data. Enhance AI replies with dynamic templates stored in Google Sheets. Extend chat commands to include batch actions (e.g., “Archive all emails older than 30 days”).

How it works time trigger using the cron format, every weekday at 5pm gets CentralStationCRM people updates of today checks for tag "Outreach" if true, sends message on gmail (predefine in node) waits 7 days, checks for answers alerts user if an answer is there if not, repeats process with second mail How to set up get credentials for CentralStationCRM, Slack and GMail set up the respective nodes with the credentials define text for your automated mails test without wait nodes

Publish a Reel on a Facebook Page 🧠 Good to Know > Set up n8n self-hosted instance using https://tino.vn/vps-n8n?affid=388 > Use the code ==VPSN8N== for up to 39% off. This workflow automatically uploads and publishes Facebook Reels using data from Google Sheets and video files stored in Google Drive. It runs on a schedule (every 30 minutes by default) and can be fully customized for your posting routine. ⚙️ How It Works Google Sheets provides the content data — video file ID, caption, and optional links. Google Drive hosts the actual video file (.mp4 format). The workflow initializes an upload session with the Facebook Graph API, uploads the video, and publishes it as a Reel on your Page. Finally, it updates your Google Sheet and adds a comment under the published Reel with your affiliate or product link. How to Use Open the template Google Sheet or make a copy: 👉 Template Sheet Fill out each row with: File ID → the ID of your video file from Google Drive File name → optional Caption → your post caption Link Share → optional Link post → leave empty (it will be filled after posting) Ensure your video file: .mp4 format shared folder on Google Drive that’s accessible to your connected account Add your Facebook Page ID and Page Access Token to the “info” node. (Learn how to get these here: Facebook Reels Workflow Guide) 📋 Requirements n8n instance (Self-hosted recommended):** Set up a self-hosted instance using https://tino.vn/vps-n8n?affid=388 Use the code VPSN8N for up to 39% off. Facebook Page** with publishing permissions Page Access Token** (with pages_manage_posts, pages_read_engagement) Google Drive* and *Google Sheets** account connected to n8n Video files in .mp4 format, under the 1GB upload limit 🎨 Customizing This Workflow Change schedule:* Adjust the *Schedule Trigger** node (e.g., every 2 hours or only during business hours). Track post links:** Add a node to fetch the permalink_url from the Graph API and update it in your sheet. Auto-comment control:** Modify or remove the “Create comment post” node to suit your campaign style. Improve security:* Replace hardcoded tokens with *n8n credentials, **secrets, or a Data Table lookup. This structure keeps your automation scalable, secure, and easy to adapt for multi-page or multi-brand use.

🛠️ Landing-Page Roast & CRO Ideas Bot – Quick Guide What this workflow does Takes any public landing-page URL. Scrapes the page content. Uses Gemini 2.5-pro to • Roast the page (friendly but brutally honest) • Give 10 high-impact, 2024-ready CRO ideas – all in Turkish, max 3 000 characters. Sends the result back to you on Telegram. Two ways to trigger it Web form • Open the form titled “Conversion Rate Optimizer.” • Paste your landing-page URL(with https or http in front of it). • Click Submit. Telegram (fastest) • Send the URL in a DM to @MertSiteRaporBot. • Forgot the “https://”? No worries—the bot adds it automatically. Behind the scenes • Code node normalises the URL. • HTTP Request scrapes the page HTML. • AI Agent (Gemini) produces the Roast + Recommendations. • Telegram node sends the formatted reply to you. Usage tips • One URL per request. • Page must be publicly accessible (no login). • Very long pages may be trimmed to fit model limits. • Output language is always Turkish.

Automatically Import Research Papers using DOI URL from Telegram to Zotero This workflow allows you to automatically import research papers into your Zotero library by simply sending a DOI link through Telegram. It fetches metadata from reliable sources such as Crossref, DataCite, and Unpaywall, enriches the bibliographic details, attaches the best available full-text PDF when possible, and generates a concise summary of the abstract using an LLM before sending it back to Telegram. ✨ Key Features Telegram Integration** – Send a DOI link via Telegram bot to trigger the workflow. DOI Parsing** – Automatically detects and extracts DOI or arXiv identifiers from user messages. Metadata Fetching* – Retrieves bibliographic information from *Crossref, **DataCite, and Unpaywall. Smart PDF Finder** – Locates the best available PDF (publisher link, open access, or arXiv). Zotero Integration** – Creates a Zotero parent item with complete metadata and attaches the PDF link when available. Abstract Summarization** – Uses a basic LLM chain to generate a short and clear summary of the abstract. Telegram Feedback** – Sends the title, URL, and abstract summary back to the user in Telegram. 🔑 Required Credentials Telegram API** – To connect the workflow with your Telegram bot. Zotero API Key** – To create and update items in your Zotero library. OpenRouter API Key** – To enable the LLM for generating abstract summaries. (Optional) Email for Unpaywall API requests (recommended for stable access). 💡 Benefits Save time by automating manual research paper imports. Ensure high-quality metadata by combining multiple sources (Crossref, DataCite, Unpaywall). Get instant summaries of abstracts directly in Telegram for quick understanding. Keep your Zotero library organized with accurate titles, abstracts, authors, and tags. Quickly attach available full-text PDFs without manual searching. Improve your academic workflow by managing references and summaries directly from Telegram.

🧠 AI Telegram Customer Support Assistant + Lead Manager This n8n workflow provides a fully automated AI-driven customer support assistant connected to Telegram, with built-in lead management, knowledge-base querying, and context-aware answers. ⭐ What this workflow does Receives user messages from Telegram Logs all incoming/outgoing messages into a Data Table Checks if a lead exists for the user (via chat_id) Creates new leads automatically if needed Builds an AI-ready context (user info + lead info + latest message) Uses the AI Agent to answer questions using: FAQ database Services table (programs, prices, descriptions) Settings table (agency info) Lead update tool Sends a natural, friendly reply back to Telegram Updates leads in real time (name, phone, email, notes…) 📦 Required Data Tables (to be created by the user) leads Stores all user information (full_name, phone, email, etc.) services List of available programs/services with prices, duration, category. faq Frequently asked questions with answers and optional tags. settings Company/agency details used by the assistant. chat_logs Logs all messages exchanged with users (user + bot). 🔧 Required Credentials Telegram Bot API Key AI Model Credential (OpenAI, OpenRouter, Groq…) No other credentials required. 🚀 How to use it Import the workflow into your n8n instance Create the required Data Tables as defined inside the Sticky Notes Add your credentials (Telegram + AI Model) Customize the prompt to match your business Activate the workflow — you're ready to go! 💡 Suitable for: Travel agencies Customer support chatbots Lead qualification + automation AI knowledge-based assistants Telegram-first businesses

Try It Out! This workflow builds a Telegram-based Solana (SOL/USDT) Multi-Timeframe AI Market Analyzer that automatically pulls live candlestick data for SOL/USDT, runs structured multi-timeframe technical analysis (1-minute, 5-minute, 1-hour) through an AI Agent, and posts a professional, JSON-structured analysis + trading recommendation straight to your Telegram chat. It combines on-chain / market data aggregation, LLM-driven interpretation, and instant Telegram reporting — giving you concise, actionable market intelligence every hour. How It Works Hourly Trigger – The workflow runs once per hour to pull fresh market data. Market Data Fetch – Three HTTP requests gather candlesticks from CryptoCompare: 1-minute (last 60 candles) 5-minute aggregate (last 60 aggregated candles) 1-hour (last 60 candles) Merge & Transcribe – The three feeds are merged and a lightweight code node extracts: symbol, current price, arrays for data_1m, data_5m, data_1h. AI Agent Analysis – The LLM (configured via your model node) receives the merged payload and runs a structured multi-timeframe technical analysis, returning a strict JSON report containing: Per-timeframe analysis (momentum, volume, S/R,MA, volatility) Market structure / confluence findings Trading recommendation (action, entry, stop, TPs, position sizing) A final disclaimer Parse AI Output – Extracts the JSON block from the agent’s reply and validates/parses it for downstream formatting. Telegram Reporting – Sends two nicely formatted Telegram messages: Multi-timeframe breakdown (1m / 5m / 1h) Market structure + Trading Recommendation (TPs, SL, position size, disclaimer) How to Use Import the workflow into your n8n workspace (or replicate the nodes shown in the JSON). Add credentials: CryptoCompare API Key — for reliable candlestick data. LLM model credentials — e.g., Google Gemini / OpenAI, configured in the LangChain/LM node. Telegram Bot Token & Chat ID — to send messages. (Optional) AFK Crypto API key if you want to enrich data with wallet info later. Node mapping & endpoints: Fetch_1m → GET https://min-api.cryptocompare.com/data/v2/histominute?fsym=SOL&tsym=USDT&limit=60 Fetch_5m → GET https://min-api.cryptocompare.com/data/v2/histominute?fsym=SOL&tsym=USDT&limit=60&aggregate=5 Fetch_1h → GET https://min-api.cryptocompare.com/data/v2/histohour?fsym=SOL&tsym=USDT&limit=60 Merge → combine the three responses into a single payload. Transcribe (code) → extract last close as current price and attach the arrays. AI Agent → pass the structured prompt (system message instructs exact JSON structure). Parse AI Output → extract the json ... block and JSON.parse it. Telegram nodes → format and send two messages (timeframes and recommendation). Adjust analysis frequency: default is hourly — change the Schedule Trigger node as desired. Deploy and activate: the workflow will post an AI-driven SOL/USDT market analysis to your Telegram hourly. (Optional) Extend This Workflow Add price / orderbook enrichment (e.g., AFK price endpoints or exchange orderbook) to improve context. Add wallet exposure checks (AFK wallet balances) to tailor position sizing suggestions. Store AI reports in Notion / Google Sheets for historical auditing and backtesting. Add alert filtering to only post when the LLM flags high-confidence signals or confluence across timeframes. Expose Telegram commands to request on-demand analysis (e.g., /analyze now 5m). Add risk management logic to convert LLM recommendation into automated orders (careful — requires manual review and stronger safety controls). Safety Mechanisms Explicit system prompt — forces AI to output only the exact JSON structure to avoid free-form text parsing errors. JSON parser node — validates the agent response and throws if malformed before any downstream action. Read-only market analysis — the workflow only reports by default (no auto-trading), reducing operational risk. Credentials gated — ensure LLM and Telegram credentials are stored securely in n8n. Disclaimer — every report includes a legal/financial disclaimer from the agent. Requirements CryptoCompare API Key (for minute/hour candlesticks) LLM model credentials (Google Gemini / OpenAI / other supported model in your LangChain node) Telegram Bot Token + Chat ID (where analysis messages are posted) Optional: AFK Crypto API key if you plan to add wallet/position context n8n instance with: HTTP Request, Code, Merge, LangChain/Agent, and Telegram nodes enabled AFK / External APIs Used CryptoCompare Candles: GET https://min-api.cryptocompare.com/data/v2/histominute?fsym=SOL&tsym=USDT&limit=60 (1m) GET https://min-api.cryptocompare.com/data/v2/histominute?fsym=SOL&tsym=USDT&limit=60&aggregate=5 (5m) GET https://min-api.cryptocompare.com/data/v2/histohour?fsym=SOL&tsym=USDT&limit=60 (1h) Telegram Bot API – via n8n Telegram node. LLM / LangChain – your chosen LLM provider (configured in the workflow). Summary The Solana (SOL/USDT) Multi-Timeframe AI Market Analyzer (Telegram) gives you hourly, professional multi-timeframe technical analysis generated by an LLM agent using real candlestick data from CryptoCompare. It combines the speed of automated data collection with the structure and reasoning of an AI analyst, delivering clear trading recommendations and a timestamped analysis to your Telegram chat — ideal for traders who want reliable, concise market intelligence without manual charting. Our Website: https://afkcrypto.com/ Check our blogs: https://www.afkcrypto.com/blog

🔍 Workflow Overview What This Workflow Does This workflow automatically saves copies of all your Notion databases to Google Drive. It's like creating a safety backup of your important Notion information, similar to saving important documents in a filing cabinet. Target Audience: Anyone who uses Notion and wants to protect their data by creating automatic backups to Google Drive. Prerequisites (What You Need Before Starting) Required Accounts Notion Account - Where your databases are stored Google Account - For Google Drive storage Telegram Account - To receive backup notifications (free messaging app) Required Software n8n Community Edition v2.0.0** installed on your computer or server Web browser** (Chrome, Firefox, Safari, or Edge) Step-by-Step Configuration Guide PART 1: Setting Up Notion Access Step 1: Create a Notion Integration Step 2: Share Your Databases with the integration PART 2: Setting Up Google Drive Access Step 1: Create a Google Drive Folder Step 2: Connect Google Drive to n8n PART 3: Setting Up Telegram Notifications Step 1: Create a Telegram Bot Step 2: Get Your Chat ID Step 3: Connect Telegram to n8n PART 4: Installing the Workflow in n8n Step 1: Import the Workflow Step 2: Configure Credentials For Notion nodes (Get All Databases, Get Database Pages) For Google Drive nodes (Create Backup Folder, Upload Backup File, etc.) For Telegram node (Send Telegram Notification) Step 3: Configure the Workflow Settings PART 5: Testing Your Workflow Step 1: Run a Test Step 2: Verify the Backup If Something Goes Wrong Red X marks on nodes**: Check that all credentials are properly connected "Not found" errors**: Make sure you shared your Notion databases with the integration No Telegram message**: Verify your Chat ID is correct No files in Google Drive**: Check your Folder ID is correct

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Understanding This Workflow In simple terms, this workflow triggers when you receive an e-mail in your inbox; classifies this e-mail based on the subject and notifies you using Telegram. It's fully customizable so you can change, add categoies and continue each data flow separately. E-Mails can hold pretty important information. But one can forget to check-up or rather not prefer to do so. This workflow keeps you updated of what's most important to you. Not only that, you can always talk to the bot to checkup on E-Mails you've missed. Set Up Overview IMAP E-Mail Trigger:** You can switch to a Gmail node aswell. Google Sheets:** Google Sheets is easy to use so I recommend you to keep it. AI Model:** Use any model of your preferance. As long as it is smart and uses less tokens. Telegram:** Refer to documentation to understand how to create a bot. > There is no correct line of setting up these credentials, as the workflow needs all to work; as long as you don't change the logic of the workflow. Note Please refer to the sticky notes in the workflow for a clear guide on setup, workflow description etc. If you need any help or need a hand, you can always message me. >https://community.n8n.io/u/mookie_lian