Building a Client’s $3,500 AI Chatbot LIVE
Welcome to this comprehensive tutorial on creating a chatbot using Botpress and integrating Stack AI for enhanced functionality. Whether you’re new to chatbot development or looking to explore advanced features, this guide will take you through the process step by step.
Part 1: Introduction to Botpress
Botpress is a powerful open-source chatbot framework that simplifies bot development. Start by installing Botpress on your local machine or server. Once installed, you can launch the Botpress studio and begin building your chatbot.
# Install Botpress
npm install -g botpress
Part 2: Setting Up the Chatbot Structure
Begin by defining the structure of your chatbot. Botpress uses a visual interface where you create nodes representing different steps in the conversation. This tutorial demonstrates a chatbot for a martial arts business, but you can adapt the structure for any scenario.
<!-- Insert Botpress visual structure screenshot -->
Part 3: Integrating Stack AI for Advanced Queries
Enhance your chatbot’s capabilities by integrating Stack AI for advanced queries. Stack AI can provide responses beyond your bot’s knowledge base. Follow these steps to set up Stack AI integration within Botpress.
// Botpress code snippet for Stack AI integration
const { request } = require('http')
const query = 'user_question_here'
const apiKey = 'your_stack_ai_api_key'
const options = {
hostname: 'api.stackai.com',
port: 80,
path: `/query?question=${encodeURIComponent(query)}&api_key=${apiKey}`,
method: 'GET',
}
const req = request(options, (res) => {
let data = ''
res.on('data', (chunk) => {
data += chunk
})
res.on('end', () => {
const stackAiResponse = JSON.parse(data)
console.log(stackAiResponse)
})
})
req.end()
Part 4: Implementing Lead Capture with Zapier
Extend the functionality of your chatbot by implementing lead capture. This tutorial demonstrates how to use Zapier to send captured leads to a Google Sheet. From asking questions to saving user input, the process is detailed for seamless integration.
// Botpress code snippet for lead capture and Zapier integration
const { email, name } = userResponse // Assuming userResponse contains captured information
const zapierPayload = {
name,
email,
// Add other lead information here
}
const zapierOptions = {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify(zapierPayload),
}
fetch('your_zapier_webhook_url_here', zapierOptions)
.then((response) => response.json())
.then((data) => {
console.log('Lead sent to Zapier:', data)
})
.catch((error) => {
console.error('Error sending lead to Zapier:', error)
})
Part 5: Finalizing and Deploying Your Chatbot
Finish your chatbot development by completing the child and adult conversation paths. Ensure a smooth user experience, handle errors gracefully, and provide engaging responses. Once satisfied, deploy your chatbot using the Botpress deployment options.
# Deploy your Botpress chatbot
botpress start
Conclusion: Keep Experimenting and Join the Community
Congratulations! You’ve built a sophisticated chatbot with Botpress and Stack AI.
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That concludes our tutorial on building a chatbot with Botpress and Stack AI. We hope you found this guide informative and empowering for your chatbot development journey. Happy coding!