Скачать или смотреть Build ChatGPT-like App with Prompt: 45min (DB + Image Upload)

I just revealed how to build a complete chatbot with persistent conversation storage using AI-powered development—transforming a basic UI-only chatbot into a production-ready application with database integration in under 40 minutes.

This is Day 26 of my 30-Day SaaS Crash Course, and today marks the final coding session before we dive into analytics and distribution strategies. I tackled one of the most challenging development tasks: implementing chat persistence with image upload capabilities, all while showing you the real debugging process that happens behind the scenes.

🚀 What Makes This Special:
Complete chatbot persistence implementation from scratch
Real-time AI-assisted development using Cursor and Claude
Database schema creation with chat projects, threads, and messages
Image upload integration using Vercel Blob storage
OAuth authentication and subscription management
Live debugging session showing actual development challenges
Unfiltered look at the iterative development process

⚡ Technical Architecture Deep-Dive:
Database: PostgreSQL with Drizzle ORM for chat persistence
Storage: Vercel Blob for image attachments (10MB limit)
Authentication: OAuth with subscription-based access control
Frontend: Next.js with streaming chat interface
AI Integration: AI Gateway for cost-effective API calls
Schema: Relational design linking users, projects, threads, and messages

💰 Cost Breakdown:
Vercel Blob: Free tier covers initial usage
AI Gateway: Margin-free API proxy (no additional costs)
Database hosting: Free tier sufficient for MVP
Total development time: 40 minutes vs. weeks of manual coding

🛠️ Live Development Highlights:
Database migration and schema generation
Real-time error debugging and resolution
Image upload functionality implementation
Chat message persistence across sessions
Subscription-based feature access control
UI component integration and testing

📚 What You'll Learn:
How to prompt AI for complex application features
Database schema design for chat applications
Image upload implementation with Vercel Blob
Real debugging techniques for production issues
Iterative development workflow with AI assistance
Building subscription-gated features

🔧 Perfect For:
Developers building SaaS applications with chat features
Anyone wanting to see real AI-assisted development
Entrepreneurs looking to minimize development time
Developers learning database persistence patterns

📈 Next Steps:
This completes our coding phase! Days 27-30 will cover analytics implementation, Google Search Console setup, Microsoft Clarity integration, and distribution strategies to help you earn your first dollar.

🕒 Timestamps:
0:00 - Day 26 Introduction: Chatbot Persistence Challenge
1:30 - Research Phase: AI SDK Documentation Analysis
3:45 - Prompt Engineering for Complex Feature Implementation
6:20 - Database Schema Creation and Migration
8:15 - Live Development Session with Cursor/Claude
12:45 - Error Debugging and Resolution Process
15:20 - Image Upload Integration with Vercel Blob
19:10 - Testing Chat Persistence and Database Storage
22:35 - Image Context Debugging Session
25:40 - Final Implementation and Success Demo

🔗 Resources: https://github.com/proSamik/youtube-s...

🚀 Need Custom Development Help?
If you want to implement similar chat features in your SaaS, integrate advanced persistence patterns, or need guidance on AI-assisted development workflows, I offer professional consulting services.

📞 Book a strategy call: https://cal.com/prosamik/30min

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