I Built a Smart Expense Tracker with n8n (Beginner Friendly) скачать в хорошем качестве

I Built a Smart Expense Tracker with n8n (Beginner Friendly)

In this video, you’ll learn how to build an Automated Expense Tracker using n8n and AntiGravity. This beginner-friendly no-code automation project helps you track your expenses automatically without using Excel or manual entry. If you’re tired of manually recording expenses and want a smart workflow that does the work for you, this tutorial will show you step-by-step how to build your own personal finance automation system. This is perfect for: Beginners learning n8n Anyone exploring no-code automation Students & freelancers managing expenses Developers building real-world automation projects 🚀 What You’ll Learn: How to create an automated expense tracker workflow How to connect AntiGravity with n8n How to automate expense logging Beginner-friendly automation concepts How to build real-world automation projects 🔎 Keywords Covered: n8n automation tutorial, automated expense tracker, no code automation project, expense tracker using n8n, workflow automation example, beginner n8n project, personal finance automation system. 🔗 Resources: Prompt : Create an n8n workflow for an AI-powered Expense Tracker system. Workflow Requirements: 1. Trigger: Use a Chat Trigger node (public). It should accept natural language expense inputs from users. Example: "Spent 500 on groceries" "Received 10,000 salary" "Paid 1200 for electricity bill" 2. AI Agent: Use a LangChain AI Agent node. Connect it to Google Gemini Chat Model. Attach a Memory Buffer Window (context length 2). 3. System Behavior: Set the system message exactly like this: "You are an expense tracker system. Return ONLY a JSON array. Each object in the array represents ONE transaction. Do NOT group by type. Do NOT summarize. Each object MUST contain these keys: type (credit or debit) category amount remaining_balance Opening balance = 0. Calculate remaining_balance sequentially in array order. IMPORTANT: If there are N transactions in the input, the JSON array MUST contain exactly N objects. Return ONLY valid JSON. No explanations. No extra text." 4. Structured Output: Add a Structured Output Parser node. Enforce output in JSON format. Example schema: { "type": "credit or debit", "category": "string", "amount": "number", "remaining_balance": "number" } Enable auto-fix. 5. Google Sheets: Add Google Sheets node. Operation: Append or Update Row. Map fields: type → column A category → column B amount → column C remaining_balance → column D 6. Flow Connections: Chat Trigger → AI Agent AI Agent → Google Sheets Memory → AI Agent Structured Output Parser → AI Agent Gemini Model → AI Agent 7. Important: The AI must never return explanations. It must always return valid JSON. The workflow must support multiple transactions in one message. Balance must update sequentially. Build the complete workflow with correct node configuration. Workflow Link:https://docs.google.com/document/d/1G... If this helped you: 👍 Like the video 💬 Comment your questions 🔔 Subscribe for more automation tutorials and real-world n8n projects Hashtags #n8n #Automation #NoCode #ExpenseTracker #WorkflowAutomation #BeginnerProject