Telegram-bot AI Da Nang
This workflow enables intelligent meeting schedule inquiries by integrating a Telegram chatbot with an AI language model. Users can conveniently access the latest event arrangements within Telegram. The bot reads schedule data in real-time from Google Sheets and converts it into a structured Markdown format for processing by the AI model, providing quick and accurate information feedback. Additionally, the bot offers a "typing" status update to enhance the interactive experience, significantly improving the convenience and efficiency of information retrieval.
Tags
Workflow Name
Telegram-bot AI Da Nang
Key Features and Highlights
This workflow integrates a Telegram chatbot with an AI language model to enable intelligent meeting schedule inquiries and interactions. It reads schedule data in real-time from Google Sheets, converts it into a structured Markdown format, and uses this as contextual input for the AI model. This allows users to quickly obtain accurate event information. Additionally, it supports sending "typing" status feedback within Telegram to enhance the interactive experience.
Core Problems Addressed
Traditional meeting or event schedule inquiries often rely on manual searching or static information, which is inefficient and lacks interactivity. This workflow addresses the need for users to intelligently query and retrieve the latest event schedules directly within Telegram. By automatically syncing schedule data from Google Sheets, it ensures real-time accuracy and significantly improves user convenience in accessing and interacting with event information.
Use Cases
- Meetup or interest group members querying event times and details via the Telegram bot
- Community managers automatically responding to members’ questions about event arrangements
- Any scenario requiring an embedded intelligent schedule inquiry service within Telegram
Main Workflow Steps
- User sends a message in Telegram to trigger the bot (telegramInput node).
- Bot sends a "typing" action feedback (SendTyping node).
- Chat input is read and normalized, with relevant parameters set (telegramChatSettings, Settings, n8nChatSettings nodes).
- Latest meeting schedules are fetched in real-time from Google Sheets (Schedule node).
- Schedule data is converted into a Markdown table format for AI comprehension (ScheduleToMarkdown node).
- The Markdown schedule is combined as context and passed to the AI language model for intelligent Q&A (LLM, Memory, ScheduleBot nodes).
- The response message is generated and set (SetResponse node).
- Based on chat mode, the reply channel is selected and the answer is sent to the Telegram user (Switch node, telegramResponse node).
Involved Systems and Services
- Telegram (chat triggering and message sending)
- Google Sheets (real-time schedule data retrieval)
- OpenRouter (AI language model invocation for intelligent Q&A)
- n8n local nodes (data processing, conditional logic, and workflow control)
Target Users and Value
- Meetup organizers and community managers, enhancing event information management efficiency
- Active Telegram community members, enabling quick and convenient event schedule queries
- Technical personnel building intelligent chatbots, serving as a demonstration of multi-service integration
This workflow allows users to receive clear, real-time event schedule responses without leaving Telegram, greatly optimizing interaction experience and information retrieval efficiency.
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