Chatbot Setup Guide

Deploy intelligent chatbots for customer support, lead generation, and engagement.

Why Chatbots?

• 24/7 availability: Instant responses anytime
• Scalability: Handle unlimited conversations
• Cost efficiency: Reduce support costs by 30-50%
• Lead qualification: Pre-qualify prospects automatically

Chatbot Types

Platform Comparison

AI Chatbot Platforms

Deployment Options

1. Website Widget: Embedded on your site
2. Standalone Page: Dedicated chat page
3. Integration: Slack, Discord, WhatsApp
4. API: Custom integration

Building a Custom Chatbot

Architecture Overview

User Input → Intent Recognition → Context Manager → Response Generator → User
                    ↓
            Knowledge Base (RAG)

Step 1: Define Purpose

Clearly define what your chatbot should do:

• Answer FAQs
• Qualify leads
• Book appointments
• Provide support
• Generate quotes

Step 2: Create Knowledge Base

Build a retrieval system:

// Example: Vector database setup
const documents = [
  { content: "Our hours are 9am-5pm PST", metadata: { category: "hours" } },
  { content: "Pricing starts at $99/month", metadata: { category: "pricing" } }
];

// Index for semantic search
await vectorStore.addDocuments(documents);

Step 3: Design Conversation Flow

Map out the conversation:

greeting:
  message: "Hi! How can I help you today?"
  options:
    - "Pricing info"
    - "Schedule a call"
    - "Talk to a human"

pricing_info:
  message: "Our pricing starts at $99/month. Would you like more details?"
  options:
    - "Yes, show me plans"
    - "Compare features"
    - "Talk to a human"

human_handoff:
  action: transfer_to_human
  message: "Connecting you to a team member..."

Step 4: Implement Context

// Maintain conversation state
class ConversationContext {
  constructor(userId) {
    this.userId = userId;
    this.history = [];
    this.variables = {};
    this.step = 'greeting';
  }

  addMessage(role, content) {
    this.history.push({ role, content, timestamp: Date.now() });
  }

  setVariable(key, value) {
    this.variables[key] = value;
  }
}

Step 5: Generate Responses

// AI-powered response generation
async function generateResponse(context, knowledgeBase) {
  const relevantDocs = await knowledgeBase.search(context.lastMessage);
  
  const prompt = `
You are a helpful assistant for CC3PO.

Relevant information:
${relevantDocs.map(d => d.content).join('\n')}

Conversation history:
${context.history.map(h => `${h.role}: ${h.content}`).join('\n')}

User: ${context.lastMessage}
Assistant:`;

  return await openai.chat(prompt);
}

Website Integration

Option 1: Widget Embed

<!-- Add to your website -->
<script>
  window.ChatConfig = {
    apiKey: 'your-api-key',
    position: 'bottom-right',
    primaryColor: '#6b35ff',
    welcomeMessage: 'Hi! How can I help you today?'
  };
</script>
<script src="https://chat.cc3po.com/widget.js" async></script>

Option 2: Iframe

<div class="chat-container">
  <iframe 
    src="https://chat.cc3po.com/embed" 
    width="100%" 
    height="600px"
    frameborder="0">
  </iframe>
</div>

Option 3: Astro Integration

---
// src/components/Chatbot.astro
---
<div id="chat-widget">
  <button id="chat-toggle" aria-label="Open chat">
    <svg><!-- chat icon --></svg>
  </button>
  <div id="chat-window" class="hidden">
    <!-- Chat interface -->
  </div>
</div>

<script>
  const toggle = document.getElementById('chat-toggle');
  const window = document.getElementById('chat-window');
  
  toggle.addEventListener('click', () => {
    window.classList.toggle('hidden');
  });
</script>

Best Practices

1. Set Expectations

Be clear about bot limitations:

“I can help with common questions. For complex issues, I’ll connect you with a human.”

2. Provide Escalation

Always offer human handoff:

if (confidence < 0.7 || userRequestsHuman) {
  return escalateToHuman();
}

3. Handle Errors Gracefully

catch (error) {
  return {
    message: "I'm having trouble right now. Would you like me to connect you with a human?",
    options: ["Yes, connect me", "Try again"]
  };
}

4. Log Everything

Track conversations for improvement:

• Common questions
• Failure points
• User satisfaction
• Escalation reasons

5. Iterate Regularly

Weekly review cycle:

1. Analyze conversation logs
2. Identify gaps in knowledge base
3. Update responses
4. Test improvements

Security & Privacy

• Encrypt all conversations
• Never store sensitive data in plain text
• Provide data deletion on request
• Add rate limiting
• Validate all inputs

Example: CC3PO Support Bot

const cc3poBot = {
  name: "CC3PO Assistant",
  
  knowledge: [
    "CC3PO offers IT consulting and automation services",
    "We specialize in WordPress, AI systems, and automation",
    "Contact: support@cc3po.com"
  ],
  
  flows: {
    services: require('./flows/services'),
    pricing: require('./flows/pricing'),
    support: require('./flows/support')
  },
  
  escalation: {
    email: 'support@cc3po.com',
    slack: '#support-channel'
  }
};

Metrics to Track

Related Guides

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