From Idea to MVP: How Dutch Startups Build AI Products in 90 Days

Speed matters in AI. While traditional software MVPs might take 6+ months, Dutch AI startups are increasingly shipping production-ready products in just 90 days. Here's the framework they use.

The 90-Day AI MVP Framework

This framework has been refined by dozens of Dutch startups across Amsterdam, Rotterdam, and Eindhoven. It prioritizes rapid validation and leverages modern AI tools to accelerate development.

Goal: Confirm the problem exists and AI can solve it cost-effectively.

Deliverable: Validation report with customer quotes and technical feasibility assessment.

Goal: Build the single AI feature that delivers core value.

Dutch startups follow these principles:

Deliverable: Working AI feature accessible via API or basic UI.

Goal: Transform the AI feature into a usable product.

Deliverable: Full product with UI, auth, and basic admin.

Goal: Ensure EU AI Act and GDPR compliance before launch.

Deliverable: Production-ready, compliant product.

Goal: Get real users and feedback.

• Interview 15-20 potential customers
• Map the current workflow without AI
• Identify where AI adds unique value (not just automation)
• Test AI feasibility with quick prototypes using GPT-4/Claude APIs
• Validate data availability for training or fine-tuning

• Build the user interface (React/Vue with clean Dutch design sensibility)
• Implement user authentication and basic account management
• Add error handling and edge cases
• Create onboarding flow that explains AI capabilities and limitations
• Build simple admin dashboard for monitoring

• Add AI transparency disclosures
• Implement GDPR data handling
• Create user data export/deletion features
• Add terms of service and privacy policy
• Performance optimization
• Security audit

• Invite 20-50 beta users from your validation interviews
• Monitor usage and gather feedback
• Fix critical bugs
• Collect testimonials and case studies

Tools Dutch Startups Use

• OpenAI GPT-4/4o — General-purpose language tasks
• Anthropic Claude — Longer context, better reasoning
• Google Gemini — Multimodal capabilities
• Cohere — Embeddings and classification

• Frontend: React + TypeScript + Tailwind
• Backend: Node.js/Python + FastAPI/Express
• Database: PostgreSQL + Supabase or Neon
• AI Orchestration: LangChain or LlamaIndex
• Vector DB: Pinecone or Supabase pgvector
• Hosting: Vercel + Railway or AWS

Common Pitfalls to Avoid

Real Example: Amsterdam PropTech Startup

A recent Amsterdam-based PropTech startup used this framework to build an AI-powered property matching tool:

Result: 40% reduction in manual property matching time from day one.

• Week 1-2: Validated with 18 property managers
• Week 3-6: Built matching algorithm using GPT-4 + embeddings
• Week 7-10: React frontend with property search UI
• Week 11-12: GDPR compliance + AI Act transparency features
• Week 13: Soft launch with 25 beta users

Ready to Build Your 90-Day AI MVP?

At Selectcursor, we specialize in helping Dutch startups go from idea to production AI MVP in 90 days. Our Amsterdam-based team understands the local ecosystem and EU compliance requirements.

Learn about our AI Product Development services →