Workflow Templates

How it works This workflow automates LinkedIn posting for businesses and personal brands. It starts with a form where you submit your post idea. Then: Message Model (OpenAI) generates the LinkedIn post text in a professional and engaging style. Image Generation (OpenAI) creates a custom visual to match the post idea and brand style. LinkedIn Node publishes the text + image directly to your LinkedIn account. This way, you can go from idea → AI-written post → branded visual → live LinkedIn content, all in one automated flow. Setup steps Connect your Form Trigger (or replace with Google Forms/Typeform/Notion etc. if you prefer). Configure OpenAI credentials for text and image generation. Adjust the AI prompts with your own details: [business name], [founder name], [brand colors], [tone of voice]. Connect your LinkedIn account in the final node. Requirements OpenAI API key (for text + image generation) LinkedIn account with API access n8n instance (self-hosted or cloud)

💬 GPT-5 Powered Telegram Bot — AI/ML API + n8n This n8n workflow lets users chat with GPT-5 directly in Telegram. It simulates typing for a natural UX, sends messages to GPT-5 via AI/ML API, and replies back in the same chat. Optionally, each interaction can be logged in Google Sheets. 🚀 Features 📩 Telegram-based chat input 💬 Typing indicator before reply 🧠 High-quality AI responses via openai/gpt-5-chat-latest (AI/ML API) 📤 Replies sent back in Telegram with formatting 📝 Optional logging to Google Sheets 🔒 Secure credential handling in n8n 🛠 Setup Guide 1. 📲 Create Telegram Bot Open @BotFather Use /newbot, choose name + username Save the API token 2. 🔐 Set Up Credentials in n8n Telegram API: paste the BotFather token AI/ML API: create a key from aimlapi.com (Optional) Google Sheets: connect via OAuth2/Service Account 3. 📗 Prepare Google Sheet (optional logging) Name: e.g., GPT5 Bot Logs Sheet: Sheet1 Columns: user_id | date | query | response 4. 🔧 Configure Workflow Import the JSON into n8n Attach your credentials to the Telegram + AI/ML API nodes (Optional) update Google Sheets node with Sheet ID ⚙️ Flow Summary | Node | Function | | ------------------------------- | -------------------------------------- | | 📩 Receive Telegram Message | Trigger on user message | | 💬 Simulate Typing | Sends "typing…" action to Telegram | | 🧠 Process with GPT-5 | Calls AI/ML API with message text | | 📤 Send Response to Telegram | Replies back to user with model output | | 📝 Log Interaction (optional) | Appends log row to Google Sheets | 💡 Example User Flow User sends: What’s the capital of Japan? Bot replies after "typing…": The capital of Japan is Tokyo. Conversation continues naturally. 🧪 Testing Use a test chat with your bot Trigger via /execute workflow (not “Execute Node”) Add Set or Console nodes for debugging 📎 Resources 🔗 AI/ML API Docs 🤖 GPT-5 Models

This workflow lets you chat with Reddit using OpenAI and the Reddit API. The chatbot pulls posts from a subreddit and uses GPT to answer your questions. ⚙️ Setup Instructions 2️⃣ Set Up OpenAI Connection Go to OpenAI Platform Navigate to OpenAI Billing Add funds to your billing account Copy your API key into the OpenAI credentials in n8n 2️⃣ Set Up Reddit API Go to Reddit Apps Click Create App → Choose script type Fill in: Name: (your choice) Redirect URI: http://localhost:8080 (or your n8n URL) Save → copy Client ID and Secret In n8n → Credentials → New → Reddit OAuth2 API Enter Client ID + Client Secret Log in with your Reddit account and approve access Attach this credential to the Reddit Tool node 🧠 How It Works Reddit Tool Node** → Fetches posts from chosen subreddit (e.g., r/n8n) OpenAI Agent** → Processes posts and your chat question Chatbot** → Returns summarized answers with Reddit context 📬 Contact Need help customizing this (e.g., targeting multiple subreddits or filtering posts)? 📧 robert@ynteractive.com 🔗 Robert Breen 🌐 ynteractive.com

📖 Description Ask natural-language questions about your Pipedrive leads. This workflow pulls live lead data from Pipedrive and has OpenAI answer questions like “leads added this week”, “stuck leads by owner”, or “next activities due today.” Responses are grounded only in your Pipedrive data. ⚙️ Setup Instructions 1️⃣ Set Up OpenAI Connection Go to OpenAI Platform Navigate to OpenAI Billing Add funds to your billing account Copy your API key into the OpenAI credentials in n8n 2️⃣ Connect Pipedrive In Pipedrive → Personal preferences → API → copy your API token URL shortcut: https://{your-company}.pipedrive.com/settings/personal/api In n8n → Credentials → New → Pipedrive API Company domain: {your-company} (the subdomain in your Pipedrive URL) API Token: paste the token from step 1 → Save In the Pipedrive Tool node, select your Pipedrive credential and (optionally) set filters (e.g., owner, label, created time). 🗣️ Example Questions You Can Ask “Summarize leads added this week by owner.” “Which leads have no upcoming activity?” “Show overdue activities and who owns them.” “Top 10 leads by value that are still open.” “Leads created in the last 7 days with the label ‘Inbound’.” “What are the next actions due today?” “Which leads are stuck >14 days without updates?” “Give me a one-paragraph pipeline health summary.” 📬 Contact Need help extending this (e.g., posting summaries to Slack/Email or auto-creating activities)? 📧 robert@ynteractive.com 🔗 Robert Breen 🌐 ynteractive.com

Video Introduction Want to automate your inbox or need a custom workflow? 📞 Book a Call | 💬 DM me on Linkedin What This Workflow Does This workflow creates an AI-powered chatbot that answers natural language questions about your QuickBooks data in real-time. Users can interact with a public chat interface to query customer information, balances, invoices, and other accounting data without needing to navigate the QuickBooks interface directly. The AI agent uses OpenAI's language model to understand questions and automatically retrieves the relevant data from QuickBooks. Key Features Natural Language Interface**: Ask questions like "How many customers do we have?" or "What's the total balance across all customers?" and get instant answers Public Chat URL**: Share a link with team members or stakeholders so they can access QuickBooks insights without direct system access Customizable Data Access**: Configure the QuickBooks tool to retrieve different resources (customers, invoices, expenses, bills, etc.) based on your needs Common Use Cases Enable non-accounting staff to get quick answers about customer data Provide executives with on-demand financial insights without training them on QuickBooks Create a self-service interface for sales teams to check customer balances Build internal support bots that can answer accounting questions Setup Requirements QuickBooks Developer Account: Register at developer.intuit.com and create a new app with Accounting permissions Credentials: Configure QuickBooks OAuth2 API credentials (Client ID, Client Secret, and Redirect URI from the Intuit Developer dashboard) and OpenAI API credentials Environment: Start with Sandbox mode for testing, then switch to Production after getting your app approved by Intuit Tool Configuration: The QuickBooks tool is pre-configured to retrieve all customer data, but you can modify the operation and filters to access different QuickBooks resources based on your requirements

Qualify Lead Lists And Find Professional Emails With OpenAI and Google Sheets Drop a lead list into Google Drive. This workflow reads it, finds professional emails using OpenAI, and splits leads into Qualified and Unqualified sheets fully automated. How It Works Watch For New Leads Google Drive trigger monitors a folder. When a new spreadsheet lands, the workflow fires. Read Lead Sheet Pulls every row from the new spreadsheet. Normalize Lead Data Standardizes fields: full name, company, website, LinkedIn URL, industry, job title, and location. Find Email via OpenAI Each lead is sent to GPT-4o to find a verified professional email. Returns the email, source, and confidence score (high / medium / low). Rate-Limited Batching Leads process in batches of 3 with a 1.5s delay to respect API rate limits. Has Valid Email? If a valid email was found (contains @), the lead goes to the Qualified sheet. Otherwise it goes to Unqualified -- both written back to the same spreadsheet. Setup Google Drive / Sheets -- Connect your Google OAuth2 credentials. Update the folder ID in the trigger node. OpenAI -- Connect your OpenAI API credential to the Find Email via OpenAI node. Input Sheet -- Needs columns: first name, last name, company, corporate website, linkedin industry, linkedin url, job title, location Output Tabs -- Create two tabs named Qualified and Unqualified with columns: fullName, companyName, companyWebsite, linkedinUrl, jobTitle, location, email, source, confidence Use Cases Qualify exported Apollo / LinkedIn Sales Nav lead lists before outreach Enrich scraped conference attendee lists with verified emails Pre-qualify inbound lead dumps before loading into your CRM or sequencer Built by Devon Toh

How it works This workflow helps you supercharge your cold email campaigns by enriching leads in Google Sheets with AI-generated personalization. For every lead in your sheet, the workflow: Fetches rows from Google Sheets Loops through each lead one by one Uses OpenAI to generate: A personalized cold email icebreaker A shortened version of the company name Saves the results back into your Google Sheet The result: a lead list that’s instantly ready for highly personalized cold outreach. Setup steps Connect your Google Sheets account and select the sheet with your leads. Your sheet should have columns like: first name, last name, company name, industry, city, etc. Adjust the column mapping in the “Update Row in Sheet” node to match your sheet’s structure. Connect your OpenAI account in the “Message a Model” node. Optionally, tweak the AI prompt to match your preferred tone of voice for icebreakers. Click Execute Workflow whenever you want to enrich your sheet with new personalized content. Requirements OpenAI account (API key) Google Sheets account with a lead list n8n instance (self-hosted or cloud)

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