Building Your First Chatbot

Let's create a simple chatbot that can have basic conversations with users.

Step-by-Step Creation

1. Click "Create from Blank" in the Studio
2. Select "Chatflow" as the application type
3. Give your app a name (e.g., "My First Chatbot")
4. Click "Create"

Understanding the Default Flow

Your new chatflow will have three basic nodes:

• Start Node: Triggers when a user sends a message
• LLM Node: Processes the user's message with AI
• Answer Node: Sends the response back to the user

This simple flow creates a basic ChatGPT-like experience where users can ask questions and get AI-generated responses.

The LLM node is the brain of your chatbot. Let's configure it properly.

Selecting a Model

1. Click on the LLM node to open its settings
2. Choose your model (GPT-4 is recommended for beginners)
3. Adjust the temperature (0.7 is a good starting point)
4. Set the max tokens (1000-2000 for most conversations)

Model Parameters Explained

• Temperature (0-1): Controls creativity. Lower = more focused, Higher = more creative
• Max Tokens: Maximum length of the response
• Top P: Controls diversity of word choices
• Presence Penalty: Reduces repetitive responses

Writing Your First Prompt

In the "Prompt" section, write instructions for your AI:

You are a helpful AI assistant. Your goal is to provide accurate, helpful, and friendly responses to users' questions.

Please follow these guidelines:
- Be conversational and approachable
- Provide clear and concise answers
- Ask clarifying questions when needed
- Admit when you don't know something

Respond to the user's message: {{sys.query}}

Before publishing, it's crucial to test your chatbot thoroughly.

Using the Preview Feature

1. Click the "Preview" button in the top-right corner
2. A chat interface will open on the right side
3. Type a test message and press Enter
4. Observe the AI's response

Test Cases to Try

• Simple greeting: "Hello, how are you?"
• Question: "What is artificial intelligence?"
• Follow-up: Ask related questions to test conversation flow
• Edge cases: Empty messages, very long messages, special characters

Debugging Common Issues

• No response: Check your model provider setup
• Poor responses: Refine your prompt
• Too long/short: Adjust max tokens
• Too creative/rigid: Adjust temperature

Make your chatbot more engaging by adding personality and useful features.

Enhancing Your Prompt

Add personality to your chatbot with a more detailed prompt:

You are Alex, a friendly and knowledgeable AI assistant with a passion for helping people learn and solve problems.

Your personality traits:
- Enthusiastic about technology and learning
- Patient and encouraging
- Uses occasional emojis to be more approachable
- Provides examples when explaining concepts

Your expertise includes:
- General knowledge and current events
- Technology and AI concepts
- Problem-solving strategies
- Creative thinking

Always aim to:
1. Understand the user's needs fully
2. Provide helpful and accurate information
3. Encourage further learning and exploration
4. Maintain a positive and supportive tone

User message: {{sys.query}}

Adding Features

Click "Add Feature" to enable:

• Opening Statement: Greet users when they start chatting
• Next Question Suggestions: Provide follow-up question ideas
• Speech to Text: Allow voice input
• Citation and Attribution: Show sources for responses

Once you're satisfied with your chatbot, it's time to publish and share it.

Publishing Your Chatbot

1. Click the "Publish" button
2. Review your settings one final time
3. Click "Update" to make it live

Sharing Options

After publishing, you can share your chatbot in several ways:

• Public Link: Share a direct URL to your chatbot
• Embed Code: Add it to your website with HTML/iframe
• API Access: Integrate with your applications via REST API

Monitoring Usage

Use the built-in analytics to track:

• Number of conversations
• User satisfaction ratings
• Most common questions
• Response times and costs

Next Steps

Congratulations! You've built your first AI chatbot. Consider:

• Gathering user feedback for improvements
• Adding a knowledge base for specific topics
• Creating more sophisticated workflows
• Exploring AI agent capabilities