Runwork
Telegram DaySchedule Neon Postgres

Create personalized email outreach with AI, Telegram bot & website scraping

This sophisticated automation uses a Telegram bot to offer prospects an interactive demonstration of AI-driven lead nurturing and personalized outreach. By combining intelligent website scraping with a RAG agent, the workflow crafts tailored email content while logging user engagement directly into a database. It features built-in error handling and scraping escalation to ensure a seamless and high-quality experience for potential clients.

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What This Recipe Does

The AI Sales Lead Dispatcher transforms how your team handles incoming inquiries by bridging the gap between instant messaging and professional email communication. When a potential lead or inquiry arrives via Telegram, this automation instantly processes the message, structures the data, and routes it to the appropriate stakeholders via professional email. By utilizing advanced data transformation and database integration, it ensures that no lead is lost in a chat history. This tool is essential for businesses that operate in fast-paced environments where speed-to-lead is a critical competitive advantage. Instead of manually copying details from a chat app to your CRM or inbox, the system handles the heavy lifting, allowing your sales team to focus on closing deals rather than data entry. It provides a centralized way to capture, format, and archive conversations, ensuring your sales pipeline remains organized and actionable at all times.

What You'll Get

Complete App

Forms, dashboards, and UI components ready to use

Automated Workflows

Background automations that run on your schedule

API Endpoints

REST APIs for external integrations

Connected Integrations

Telegram, DaySchedule, Neon Postgres configured and ready

How It Works

  1. 1

    Click "Start Building" and connect your accounts

    Runwork will guide you through connecting Telegram and DaySchedule

  2. 2

    Describe any customizations you need

    The AI will adapt the recipe to your specific requirements

  3. 3

    Preview, test, and deploy

    Your app is ready to use in minutes, not weeks

Who Uses This

Frequently Asked Questions

Do I need to manually format the Telegram messages before they are sent?

No. The automation uses built-in logic to parse, clean, and format the incoming text into a professional structure suitable for email and database storage.

Can I customize which email address receives the lead notifications?

Yes. You can easily configure the destination email addresses and even set up conditional routing based on the content of the message.

Does this automation store a history of the messages received?

Yes. The workflow includes a database integration step that allows you to archive every interaction for future reference and reporting.

What happens if the message contains complex data or multiple parts?

The system includes data splitting and aggregation features that handle complex inputs, ensuring that even long or multi-part messages are processed accurately.

Importing from n8n?

This recipe uses nodes like TelegramTrigger, Set, HttpRequest, Markdown and 19 more. With Runwork, you don't need to learn n8n's workflow syntax. Just describe what you want in plain English.

TelegramTrigger Set HttpRequest Markdown Langchain.openAi SplitOut Aggregate EmailSend DataTable ScheduleTrigger If Langchain.lmChatOpenAi Langchain.memoryPostgresChat Langchain.agent PostgresTool Langchain.embeddingsOpenAi Langchain.vectorStorePGVector StickyNote Xml Telegram Switch Code Merge

Based on n8n community workflow. View original

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