Workflow Templates

5 nodes25 views

Automate Solana Trading with Gemini AI, Multi-Timeframe Analysis & AFK Crypto

by AFK Crypto

Try It Out! The SOL/USDT Multi-Timeframe AI Market Analyzer and Trader with Telegram Approval is your fully automated Solana trading assistant powered by AI, AFK Crypto, and Telegram. It runs hourly by default, fetches real-time market data for the SOL/USDT pair, and uses AI-driven logic to determine optimal entry, exit, and risk management strategies. You receive a Telegram approval message that lets you confirm or reject the trade instantly. Once approved, the bot executes trades via your AFK Crypto Wallet and keeps monitoring for Take-Profit or Stop-Loss triggers — sending alerts directly to Telegram when they’re hit. This system combines automation with manual oversight, giving you AI precision with human approval control. How It Works Hourly Trigger – The workflow initiates every hour to analyze the current market status. Fetch SOL Market Data (Crypto Compare) – Retrieves multiple timeframe data (1m, 5m, 1h) for trend, momentum, and volatility analysis. AI Market Analyzer – Processes data through an AI agent to identify: Market sentiment (bullish, bearish, neutral) Recommended position: LONG / SHORT / HOLD Stop-Loss and Take-Profit levels Confidence rating and reasoning Balance Check (AFK Crypto) – Verifies wallet balance via /v1/wallets/balances?chain=solana and calculates position size based on 1% risk. Telegram Approval Message – Sends a Telegram message containing AI insights and trade details with “✅ Approve” or “❌ Decline” buttons. Trade Execution (AFK Trade API) – If approved, executes trade instantly via /v1/trade/swap using your AFK Crypto wallet. Live Trade Monitoring – Monitors SOL price in real-time. Once Take-Profit or Stop-Loss conditions are met: The position auto-closes. A Telegram notification is sent summarizing results and updated balance. How to Use Import the workflow into your n8n workspace. Add your credentials: AFK Crypto API Key – For balance and trading operations. Telegram Bot Token + Chat ID – For sending messages and approvals. Crypto Compare API Key – For fetching market data. Edit “Fetch SOL Market Data” Node: Update the endpoint if you want different timeframes or markets. Set the schedule: Default trigger = every hour (modifiable in the “Every Hour” node). Deploy and activate. The bot will send you hourly market analyses via Telegram — allowing you to approve or skip each suggested trade. (Optional) Extend This Workflow Auto Mode:** Allow the AI to auto-trade when confidence > 90%. Portfolio Sync:** Log every trade and PnL automatically to Notion or Airtable. Risk Adjuster:** Dynamically modify the 1% risk per trade based on balance or volatility. Multi-Pair Trading:** Expand to include ETH/USDT or BTC/USDT using the same logic. Requirements AFK Crypto Wallet + API Key** Telegram Bot Token + Chat ID** Crypto Compare API Key** n8n Instance** with HTTP Request, AI, and Telegram nodes enabled AFK APIs Used GET https://api.afkcrypto.com/v1/wallets/balances?chain=solana POST https://api.afkcrypto.com/v1/trade/swap Summary The SOL/USDT Multi-Timeframe AI Market Analyzer and Trader with Telegram Approval workflow is an intelligent trading automation system that merges AI analytics, Telegram decision prompts, and AFK Crypto execution. It empowers you to make data-driven trading decisions — with AI doing the heavy lifting and you retaining the final say before every trade. A perfect hybrid between automation and control, optimized for active Solana traders who value precision and security. Our Website: https://afkcrypto.com/ Check our blogs: https://www.afkcrypto.com/blog

N8N Español - Telegram Welcome Bot

by The { AI } rtist

💬Communication & Collaboration

Este workflow te permite crear un Bot para dar la Bienvenida y despedida en tu grupo de telegram. How To, Paso a Paso: https://comunidad-n8n.com/construye-tu-bot-con-n8n Comunidad de telegram: https://t.me/comunidadn8n

1 nodes3214 views

Email Management: Auto-Delete Marketing Emails & Generate AI Replies with Gemini

by Raghvendra dixit

Description This workflow intelligently scans your inbox, detects whether an email is marketing or genuine, and takes the right action automatically. Marketing Emails : Deleted instantly and logged in Google Sheets for tracking. Non-Marketing Emails : Receive a customized, polite reply crafted using AI. Tracking : Every action (delete/reply) is recorded for auditing and reference. Accounts & Tools n8n instance (self-hosted or cloud). Google account with: Gmail API access (for reading, deleting, and replying). Google Sheets API access (for logging deleted/replied emails). IMP/SMTP credentials (if using IMAP trigger instead of Gmail API). Google Gemini (PaLM) API key to classify emails and generate replies. Setup instructions Create a n8N account on cloud or install it locally. follow the quick start guide this Define your trigger point for your workflow as how or when this needs to run. Currently IMAP has been used to detect if any email is received and if so, trigger the workflow Now, we need to setup the google account which allows our workflow to read emails. Follow this guideline to setup gmail account Next step is to add an AI tool which is google gemini here. To set up and use, see this guideline Since AI response is in text, we need a parser tool to read a specific value from text Setup a categorization tool like this Next is to send or delete email and for this, an existing gmail setup is going to work In the last, we need to set a connection for sheet to keep the logs. Adding any sheet to workflow can be seen as google sheet integration How it work Once any emails is received, IMAP detects and starts the workflow. Now, email is passed to AI model to see if this email is a marketing email or not. Also, is its not a marketing email, it generates a tailored response. Currently, sender, subject and body of email is being scanned and marked as marketing based on model's feedback. Since AI response is in text format, using a formattor to parse it Next step is to read its category as if it is a marketing email Based on email type, there are 2 steps: delete email if it is a marketing email Read the response from previos node and send that as reply Last step is track this activity as which emails is deleted or replied. In terms of structure of sheet, it has 2 tabs deleted emails & replied emails and both have 2 columns Email ID subject Future Use it to categories emails for wider range like job applications, bills, customer supprt and tailor replies for each categories seperately Logging can done in wider sources like databases etc In case if we are logging on sheet, a further enhancements like follow up emails etc can be done

Build Complete Sales Department with OpenAI Multi-Agent Team & CSO Orchestration

by Yaron Been

CSO Agent with Sales Team Description Complete AI-powered sales department with a Chief Sales Officer (CSO) agent orchestrating specialized sales team members for comprehensive revenue operations and sales automation. Overview This n8n workflow creates a comprehensive sales department using AI agents. The CSO agent analyzes sales opportunities and delegates tasks to specialized agents for lead generation, copywriting, proposals, objection handling, demos, and follow-up sequences. Features Strategic CSO agent using OpenAI O3 for complex sales strategy and decision-making Six specialized sales agents powered by GPT-4.1-mini for efficient execution Complete sales funnel coverage from lead generation to deal closure Automated proposal and contract generation Objection handling playbooks and closing techniques Demo preparation and presentation materials Follow-up and nurture campaign automation Team Structure CSO Agent**: Strategic sales oversight and team coordination (O3 model) Lead Generation Specialist**: Prospecting, research, qualification, cold outreach Sales Copywriter**: Pitch decks, proposals, sales collateral, persuasive content Proposal & Contract Specialist**: Deal structuring, terms negotiation, contracts Objection Handler**: Sales objections, responses, closing techniques Demo & Presentation Expert**: Demo scripts, presentation materials, call preparation Follow-up & Nurture Specialist**: Sequence campaigns, relationship building How to Use Import the workflow into your n8n instance Configure OpenAI API credentials for all chat models Deploy the webhook for chat interactions Send sales requests via chat (e.g., "Create a complete B2B SaaS sales campaign") The CSO will analyze and delegate to appropriate specialists Receive comprehensive sales deliverables and strategies Use Cases Complete Sales Funnels**: Lead generation → Qualification → Demo → Proposal → Close Account-Based Sales**: Personalized outreach strategies for enterprise accounts Product Launch Sales**: Go-to-market strategy with full sales enablement Objection Playbooks**: Comprehensive responses to common sales objections Demo Optimization**: Compelling presentations tailored to different audiences Follow-up Automation**: Systematic nurturing to prevent lead loss Proposal Generation**: Professional proposals with terms and pricing Sales Training**: Objection handling and closing technique development Requirements n8n instance with LangChain nodes OpenAI API access (O3 for CSO, GPT-4.1-mini for specialists) Webhook capability for chat interactions Optional: Integration with CRM systems (Salesforce, HubSpot, etc.) Cost Optimization O3 model used only for strategic CSO decisions GPT-4.1-mini provides 90% cost reduction for specialist tasks Parallel processing enables simultaneous agent execution Template library reduces redundant content generation Integration Options Connect to CRM systems for lead management Integrate with email platforms for outreach automation Link to proposal and contract management tools Export to sales enablement platforms Performance Metrics Lead qualification accuracy and conversion rates Proposal win rates and deal velocity Objection handling success rates Demo-to-close conversion optimization Follow-up engagement and response rates Contact & Resources Website**: nofluff.online YouTube**: @YaronBeen LinkedIn**: Yaron Been Tags #SalesOps #LeadGeneration #SalesEnablement #RevenueGrowth #SalesAutomation #B2BSales #SalesStrategy #ProposalAutomation #DemoOptimization #SalesAI #n8n #OpenAI #MultiAgentSystem #SalesTech #RevOps #PipelineAutomation

⚙️Business Automation

4 nodes3 views

AWS Lambda Manager with GPT-4.1 & Google Sheets Audit Logging via Chat

by Trung Tran

Chat-Based AWS Lambda Manager with Automated Audit Logging (GPT-4.1 mini + Google Sheet) > This workflow provides a chat-based AI agent to manage AWS Lambda functions. It allows users to list, invoke, get details, and delete Lambda functions, while automatically recording every action into Google Sheets for audit and compliance tracking. Who’s it for Cloud engineers and DevOps teams managing AWS Lambda functions. Developers who want a simple chat interface to perform Lambda operations. Compliance and operations teams needing automatic audit logs of AWS actions. How it works / What it does A chat message triggers the AWS Lambda Manager Agent. The agent interprets user intent and calls one of the available tools: Invoke Lambda Function: Runs a Lambda function with given payload. List Lambda Functions: Shows all functions in the account. Get Lambda Function: Retrieves details/configuration of a function. Delete a Function: Removes a Lambda function permanently. After each action, the agent calls Audit Logs (Google Sheets) to record the operation type, function name, timestamp, and outcome. The agent confirms destructive actions (like delete) before execution. How to set up Add a Chat Trigger node to start the workflow when a user sends a message. Connect it to the AWS Lambda Manager Agent node. Configure the agent with the provided system prompt to enforce rules and logging. Link the agent to the following tool nodes: Invoke Lambda Function List Lambda Functions Get Lambda Function Delete a Function Audit Logs (Google Sheets with appendOrUpdate enabled) Deploy the workflow and test it with sample chat commands like “list functions” or “invoke testFunction”. Requirements AWS account with IAM credentials that have lambda:ListFunctions, lambda:InvokeFunction, lambda:GetFunction, and lambda:DeleteFunction permissions. Google Sheets API connected for storing audit logs. Proper region and function names configured when invoking or deleting. n8n instance or automation platform that supports agent + tool integration. How to customize the workflow Add new tools**: Extend with more AWS Lambda operations like Update Function Code or Publish Version. Enhance logging**: Include user ID, request payload, or execution results in Audit Logs. Access control**: Restrict delete actions to admins by adding role-based logic. Multi-cloud support**: Extend the agent to handle Azure/AWS/GCP serverless functions in one workflow. Custom responses**: Modify agent prompt to tailor tone (developer-friendly vs. business-friendly).

Convert image URLs to an uploaded attachment in Airtable

by GiovanniSegar

Super simple workflow to convert image URLs to an uploaded attachment in Airtable. You'll need to adjust the field names to match your specific data, including in the filter formula where it says "Cover image URL". Just replace that with the field name where you are storing the image URL.

Auto-Generate Platform-Specific Marketing Content with GPT-4, Google Sheets & Docs

by ConceptRecall

💬Communication & Collaboration

This workflow automates marketing content creation by using AI to generate high-quality, platform-specific posts for social media, blogs, and ad campaigns. It combines OpenAI-powered content generation with dynamic templates to produce SEO-optimized text aligned with your brand voice. The workflow ensures posts follow platform character limits, saves them in Google Docs, and updates the source sheet to mark topics as completed. Key Features Automated triggering: Starts whenever the Status column is updated in the Topics Google Sheet. Platform compliance: Retrieves platform-specific character limits to ensure posts fit requirements. Dynamic AI prompts: Builds custom prompts based on topic details and platform rules. AI-generated content: Uses OpenAI GPT to produce engaging, SEO-friendly posts. Centralized storage: Creates a Google Document for each completed topic and updates the sheet. Nodes in Use Google Sheets Trigger: Monitors sheet updates. Google Sheets: Fetches topic details and platform rules. Set Node: Structures data for AI input. OpenAI: Generates platform-specific content. Google Docs: Stores final content. Google Sheets (Update): Marks topic as completed. Who’s it for Social media managers who need quick, on-brand content. Marketing teams looking to scale campaigns with minimal manual effort. Freelancers or agencies managing multiple clients’ content. How to set up Add your Google Sheets and Google Docs credentials. Configure the OpenAI node with your API key. Prepare a Google Sheet with topic ideas and platform details. Connect Google Docs to store the generated content. Requirements OpenAI API: For AI content generation. Google Sheets & Google Docs: For managing input and storing output. How to customize Adjust the AI prompt template to better match your brand’s tone. Add extra nodes for additional platforms (e.g., LinkedIn, YouTube). Extend the workflow with translation nodes for multilingual campaigns. Use Case Ideal for marketers or agencies who want to automate content creation across platforms, ensuring SEO alignment and brand consistency. It saves hours of manual work and helps maintain a steady publishing schedule. Powerd By: Concept Recall https://conceptrecall.com/

4 nodes2 views

n8n Nodemation basic - creating your first simple workflow (2/3)

by sven

In this video we will create a simple n8n Nodemation workflow to receive date via webhook, alter the data and send it to a webserver. We will be using webhook, function and http request node together. > Youtube Video

Extract Business Emails from Google Maps Search Results to Google Sheets

by Agent Circle

This workflow demonstrates how to automate the extraction of business emails from Google Maps results using a specific keyword. It streamlines the process of finding, filtering, and saving contact emails into a Google Sheet, eliminating the need for tedious manual research. This tool is perfect for those who need to collect business email addresses for outreach, research, or marketing purposes, especially those whose success depends on building and managing business relationships at scale. Sales and Lead Generation Teams**: Quickly build targeted business email lists for efficient cold outreach and follow-up. Marketing Agencies and Freelancers**: Effortlessly gather contact details for potential clients in specific niches or locations to power outreach campaigns. Recruiters and Talent Acquisition Specialists**: Easily collect company contacts to connect with HR or hiring managers in targeted industries or regions. Event Organizers and B2B Promoters**: Rapidly compile relevant business emails for event invitations, sponsorship proposals, or promotional efforts. Market Researchers and Data Analysts**: Automate large-scale collection of business emails to support industry analysis and data-driven research. How It Works A target keyword (e.g., “n8n workflow”) should be entered in Node Fields - Set Keyword / Phrase. Then, the process is triggered by clicking Test Workflow or Execute Workflow. The workflow queries Google Maps, collects keyword-related website URLs from its HTML, and filters for only valid website URLs. Next, it removes duplicate website URLs to ensure each is processed only once later. For every unique valid website URL, the workflow sends an HTTP request to extract all potential email addresses from the website’s content in a loop. After that, the emails are passed through another loop and a code node (Code – Match Email) to ensure each one is a valid, properly formatted email address (not just random text). Any invalid emails are filtered out during this step. All valid emails are then collected and prepared for further processing. The workflow then splits out the results and removes any duplicate emails to ensure each address appears only once. Finally, the list of unique, verified emails (directly related to your chosen keyword) is saved to your connected Google Sheet for easy access and follow-up. How To Set Up Download the working package. Import the package into your n8n interface. Duplicate the Google Maps - Crawl Emails By Keyword Google Sheets template into your Google Sheets account. Set up necessary credentials in Google Cloud Console for Google Sheets access and usability in Node Google Sheets - Update Data. Set up a GET method to access Google Maps in Node HTTP Request - Get Sites. Enter your desired keyword or phrase in Node Fields - Set Keyword / Phrase. Start the workflow in n8n. Wait a few minutes for the process to finish. Check the list of all valid emails related to your keyword/phrase in the connected Google Sheet. Requirements Basic setup in Google Cloud Console (OAuth or API Key method enabled) with enabled access to Google Sheets. Access to Google Maps. How To Customize Adjust the Keyword Input: You can easily change the keyword or phrase you want to search for by editing the second node, **Fields – Set Keyword / Phrase, in your n8n workflow. Add Follow-up Steps**: Modify the workflow to even trigger follow-up actions like sending emails automatically. Need Help? If you need a step-by-step guide to set up this workflow or want it customized for your specific business needs, feel free to reach out to Agent Circle. We’re always here to support and help you to bring automation ideas to life. Join our community on different platforms for assistance, inspiration and tips from others. Website: https://www.agentcircle.ai/ Etsy: https://www.etsy.com/shop/AgentCircle Gumroad: http://agentcircle.gumroad.com/ Discord Global: https://discord.gg/d8SkCzKwnP FB Page Global: https://www.facebook.com/agentcircle/ FB Group Global: https://www.facebook.com/groups/aiagentcircle/ X: https://x.com/agent_circle YouTube: https://www.youtube.com/@agentcircle LinkedIn: https://www.linkedin.com/company/agentcircle

Using the Merge Node - Merge by Key

by mike

This is an example of how you can make Merge by Key work. The “Data 1” and “Data 2” nodes simply provide mock data. You can replace them with your own data sources. Then the “Convert Data” nodes are important. They make sure that the different array items are actually different items in n8n. After that, you have then the merge with the merged data.

Create a document in outline for each new GitLab release

by Manu