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AI Development
January 15, 2025
8 min

How I Built 3 AI MVPs in 60 Days Using Claude + Cursor

The exact AI tools and workflow I use to build MVPs 60% faster than traditional development. Real examples from 3 projects.

The Speed Problem in MVP Development

Traditional MVP development is painfully slow. Most agencies quote 3-6 months and $25k-50k for a basic product. By the time you launch, your competitor has already captured the market.

I've found a better way. Using AI coding tools like Claude and Cursor, I've built 3 production-ready AI MVPs in just 60 days—all while maintaining high code quality.

Here's exactly how I did it.

The 3 MVPs I Built (18-21 Days Each)

Project 1: AI Chatbot for Customer Support (18 Days)

Client: SaaS company with 1,000+ users
Challenge: Support team overwhelmed, 24+ hour response times
Solution: GPT-4 powered chatbot trained on their docs

Tech stack:

  • Frontend: Next.js 14 + Tailwind CSS
  • AI: OpenAI GPT-4 Turbo with function calling
  • Backend: Supabase (PostgreSQL + auth)
  • Deployment: Vercel

Results:

  • 70% of support queries automated
  • Response time down to <30 seconds
  • Team focused on complex issues

Project 2: AI Content Generator SaaS (21 Days)

Client: Marketing agency founder
Challenge: Manual content creation taking weeks
Solution: Custom AI writing tool with templates

Tech stack:

  • Frontend: React + TypeScript
  • AI: Claude 3.5 Sonnet (better for long-form)
  • Payments: Stripe (credit-based billing)
  • Backend: Firebase

Results:

  • 50+ paying customers in first month
  • $2.4k MRR at launch
  • Content creation time: 2 hours → 10 minutes

Project 3: AI-Powered Analytics Dashboard (19 Days)

Client: E-commerce startup
Challenge: Raw data, no insights
Solution: Natural language analytics interface

Tech stack:

  • Frontend: Next.js with Recharts
  • AI: GPT-4 for query interpretation
  • Database: PostgreSQL with vector search
  • Real-time: Supabase subscriptions

Results:

  • Non-technical team making data-driven decisions
  • Query time: 5 min manual → 5 sec AI
  • Increased conversion rate by 23%

The AI Tools I Use Daily

1. Claude (Anthropic) - The Architect

I use Claude for:

  • System architecture - Claude designs the folder structure, tech stack choices
  • Code review - Paste code, get expert feedback
  • Documentation - Generate README files automatically

Time saved: 15 hours/week

Pro tip: Use Claude Projects feature to maintain context across conversations.

2. Cursor - The Coding Partner

Cursor is VS Code on steroids with AI built-in.

I use Cursor for:

  • Multi-file editing - Change component imports across 20 files instantly
  • Bug fixing - Cmd+K, describe the bug, watch it fix
  • Feature implementation - "Add Stripe checkout" → Done in 5 minutes

Time saved: 20 hours/week

Pro tip: Use Cursor's "Composer" mode for large features.

3. GitHub Copilot - The Autocomplete

Copilot handles the boring stuff:

  • Boilerplate code
  • Test generation
  • Type definitions

Time saved: 10 hours/week

4. Bolt.new - The Rapid Prototyper

For client demos and quick prototypes:

  • Full-stack app in 5 minutes
  • Perfect for showing concepts
  • Export to real code later

Time saved: 5 hours/week

Before vs After: Time Breakdown

Traditional Development (100 Hours)

  • Planning & architecture: 15 hours
  • Frontend development: 30 hours
  • Backend development: 25 hours
  • AI integration: 20 hours
  • Testing & debugging: 10 hours

AI-Assisted Development (40 Hours)

  • Planning with Claude: 3 hours
  • Frontend with Cursor: 12 hours
  • Backend with Cursor: 10 hours
  • AI integration: 8 hours
  • Testing & debugging: 7 hours

Total time savings: 60% (60 hours saved)

Quality Concerns Addressed

Q: Does AI write bad code?

A: Not if you know how to guide it. I review every line and use AI as a junior developer that I'm mentoring. The code quality is often better because:

  • AI follows best practices consistently
  • No shortcuts or tech debt
  • Proper error handling by default

Q: Can AI handle complex features?

A: Yes. I've used AI for:

  • Multi-tenancy systems
  • Real-time collaborative editing
  • Complex payment flows
  • Custom AI model fine-tuning

ROI Calculation

Let's do the math:

Before AI:

  • 100 hours per MVP
  • $30/hour rate
  • Cost: $3,000 in time
  • Can build 2 MVPs/month

After AI:

  • 40 hours per MVP
  • $30/hour rate
  • Cost: $1,200 in time
  • Can build 5 MVPs/month

Result: 2.5x more output, 60% less time per project

How to Get Started

  1. Week 1: Set up tools
    • Get Claude Pro subscription ($20/mo)
    • Download Cursor ($20/mo)
    • Install GitHub Copilot ($10/mo)
  2. Week 2: Learn the workflow
    • Use Claude for architecture planning
    • Code with Cursor for implementation
    • Review and test thoroughly
  3. Week 3-4: Build your first AI-assisted MVP
    • Start with a simple project
    • Document what works
    • Iterate on your process

The Future of Development

AI won't replace developers. But developers using AI will replace those who don't.

In 2025, the question isn't "Should I use AI?" It's "How can I use AI better than my competition?"

Want this speed for your startup? I'm available for select MVP projects. Book a free strategy call to discuss your idea.

Ready to Build Your MVP?

Book a free 30-minute strategy call and let's discuss your idea.

Book Free Call
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