How to Build an AI Startup MVP in 30 Days

Week 1: Validate the Idea

• Talk to 20 potential users. Understand their pain points.
• Research competitors. Find gaps in existing solutions.
• Define your unique value proposition. What can you do 10x better?
• Pick your tech stack: Keep it simple — Next.js + Vercel AI SDK + one LLM API.

Week 2: Build the Core Feature

• Focus on ONE core feature that delivers value.
• Use existing APIs (OpenAI, Anthropic) instead of training models.
• Build a minimal UI — function over form.
• Set up basic auth and usage tracking.

Week 3: Add Polish

• Improve error handling and edge cases.
• Add loading states and streaming responses.
• Implement rate limiting to control costs.
• Write clear onboarding copy.

Week 4: Launch and Learn

• Share on Twitter/X, Hacker News, and relevant communities.
• Set up a feedback loop (form, Discord, or email).
• Track key metrics: activation rate, retention, NPS.
• Iterate based on user feedback, not assumptions.

Common Mistakes

• Building for months before talking to users.
• Over-engineering the architecture from day one.
• Ignoring costs until the bill arrives.
• Competing directly with OpenAI/Google on general-purpose AI.