This n8n workflow automates the process of managing financial data through interactions in Telegram, utilizing AI for transcription and intelligent responses. When a user sends a message or voice note via Telegram, the workflow detects the message type. Text messages are directly processed to update or query finance data stored in Google Sheets, while voice messages are downloaded and transcribed into text before processing. An AI-powered finance agent analyzes inputs, updates financial records, and generates personalized replies, creating an interactive financial management experience. The workflow also retains chat history for context-aware conversations, making it ideal for automated financial tracking and user engagement through messaging platforms.
Automated Voice and Text-Based Finance Tracker with AI
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.openAi, googleSheetsTool, set, stickyNote, switch, telegram, telegramTrigger |
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