Building an AI-Powered Telegram Bot with Nocodo AI

Create an AI-driven Telegram bot using Nocodo AI’s no-code platform to automate chats, boost support, and scale customer engagement.

A person works on dual monitors in a dimly lit office, with a large digital interface displaying a robot icon and various data graphics.

Tanja Bayer

May 25, 2025 5 min read

In today's digital landscape, businesses need efficient ways to engage customers. Telegram bots have emerged as powerful tools for automating communication and enhancing user experiences. With over 1 billion monthly active users, Telegram offers an expansive platform to reach audiences through intelligent automated interactions.

This guide walks you through creating an AI-powered Telegram bot using Nocodo AI's no-code workflow automation platform. Whether you're a developer looking to streamline processes or a non-technical professional aiming to harness automation, we've got you covered.

What You'll Learn

Understanding Telegram bots and their capabilities
Setting up a Telegram bot with BotFather
Creating an AI-powered workflow in Nocodo AI
Advanced configurations and best practices
Extending your bot with memory and additional features

Understanding Telegram Bots

Telegram bots are special accounts that don't require additional phone numbers to set up. They can handle various tasks—from sending automated messages to processing payments—and integrate with third-party services to extend their functionality.

Key Benefits of Telegram Bots

24/7 Availability : Bots respond to queries anytime, ensuring continuous customer support.
Automation : Eliminate repetitive tasks and conversations, reclaiming time and resources.
Scalability : Handle multiple conversations simultaneously without performance degradation.
Integration Potential : Connect seamlessly with your existing systems, databases, and AI services.

Setting Up Your Telegram Bot with BotFather

Before building our workflow in Nocodo AI, we need to create a Telegram bot and obtain its API token:

1. Open Telegram and search for "@BotFather" in the search tab.

2. Select the verified BotFather account (with the blue checkmark).

3. Click "Start" to initiate a conversation.

4. Send the command /newbot to create a new bot.

5. Provide a name for your bot (e.g., "MyCompanySupportBot").

6. Choose a username ending with "bot" (e.g., "MyCompany_support_bot").

7. Once created, BotFather will provide you with an API token—keep this secure.

Understanding the Telegram Bot API Token

The API token follows the format 123456789:ABCdefGhIJKlmNoPQRsTUVwxyZ . It serves as the authentication key for your bot—never share this publicly, as it grants complete control over your bot.

Building Your Telegram Bot Workflow in Nocodo AI

Nocodo AI's platform makes it easy to create powerful workflows for your Telegram bot. Let's build an AI-powered bot that responds intelligently to user messages.

Step 1: Creating a New Workflow in Nocodo AI

1. Log in to your Nocodo AI account

2. Click the "New Project" button

3. Name your project (e.g., "Telegram AI Bot")

4. Start by adding a trigger node to the workflow canvas

Step 2: Setting Up the Webhook

We need to establish a webhook to receive messages from Telegram. After creating your workflow in Nocodo AI, register your workflow's endpoint with this curl command:

Replace <TOKEN> with your Telegram bot token and <STACK_URL> with your Nocodo AI workflow endpoint URL.

Step 3: Setting Up the Telegram Trigger and Processing the Incoming Message

Nocodo AI provides a specialized Telegram Bot Trigger node to handle incoming messages:

Search for "Input" in the node explorer and add it to your workflow. Name the input field "message" and set the type to "JSON".
Add JSON Query Nodes to parse the data in the message, we need the .chat.id and the .text . If we want to personalize our messages .chat.first_name and .chat.last_name are useful, too.

Step 4: Adding AI Processing with OpenAI

Now, let's elevate your bot with AI capabilities:

1. Search for "OpenAI" in the node explorer and add the "Large Language Model" to your canvas.

2. Configure the node with your OpenAI API key

3. Select an appropriate model (e.g., GPT-4o or o3)

4. Create a prompt template that includes the user's message and necessary context

Here's an example prompt you might use:

Step 5: Sending a Response Back to the User

Finally, send the AI-generated response back to the user:

1. Add a "API Action" node to your workflow

2. Configure it with the chat ID extracted from the incoming message

3. Set the message text to the output from the OpenAI node

Advanced Configuration: Complete Workflow

Here's a visual representation of the complete workflow:

Enhancing Your Bot with Advanced Features

Adding Memory with a Database

One limitation of the basic bot setup is that it has no memory of past interactions. This could be addressed by storing all incoming messages into a database and reading them out once a new message is received.

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