π How to Build a Personalized AI Chatbot with GPT and Express (Advanced Guide) π€
Looking to build your own AI chatbot thatβs smart, personalized, and production-ready?
Hereβs an advanced approach using OpenAI GPT APIs + Node.js (Express) to create a custom chatbot tailored for real-world use cases like lead generation, customer support, or internal knowledge bots.
π Key Highlights:
β
Contextual Memory with Redis or in-memory session
β
Role-based personality (agent vs assistant vs guide)
β
Dynamic routing using Express
β
Middleware for auth and fallback
β
Real-time streaming responses with Server-Sent Events (SSE)
π§ Sample Code Snippet (GPT + Express + Context Memory)
const express = require('express');
const { OpenAI } = require('openai');
const app = express();
const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
app.use(express.json());
const sessionMemory = {};
app.post('/chat', async (req, res) => {
const { sessionId, userMessage } = req.body;
sessionMemory[sessionId] = sessionMemory[sessionId] || [];
sessionMemory[sessionId].push({ role: 'user', content: userMessage });
const response = await openai.chat.completions.create({
model: 'gpt-4',
messages: [
{ role: 'system', content: 'You are a helpful AI assistant.' },
...sessionMemory[sessionId],
],
});
const botReply = response.choices[0].message.content;
sessionMemory[sessionId].push({ role: 'assistant', content: botReply });
res.json({ reply: botReply });
});
π§ You can even plug this into a frontend (Next.js, React, Vue) or Slack/WhatsApp bot for production use!
If you're building custom AI assistants for your product, feel free to connectβIβve been designing GPT-powered agents across SaaS, e-commerce, and enterprise tools.
π‘ Letβs chat if you want to bring GPT to your business workflows!
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