Will of Dawn Labs — AI Engineering
AI MVP Development in 2–4 Weeks
Production-ready AI systems for startups. Fixed scope. Weekly demos. No scope creep. No disappearing. No prototypes that sit on a shelf. Based in India. Serving clients worldwide.
Process
The 4-Week Delivery Timeline
Every week has clear milestones. You see progress continuously.
Week 1
Discovery & Design
- ✓Use-case definition
- ✓User flow design
- ✓Tech stack selection
- ✓Scope finalization
Week 2
Build Core AI
- ✓Backend API development
- ✓AI model integration
- ✓Database setup
- ✓Basic frontend
Week 3
Integrate & Polish
- ✓Authentication
- ✓UI/UX refinement
- ✓Edge cases handling
- ✓Performance optimization
Week 4
Deploy & Handoff
- ✓Production deployment
- ✓Monitoring setup
- ✓Documentation
- ✓Knowledge transfer
Scope
What's Included
Transparent scope. No surprises.
Included
Discovery & use-case scoping
Full-stack development (Next.js + Python)
AI model integration (OpenAI, Anthropic, open-source)
Vector database & retrieval setup
Authentication & security
Production deployment
30 days post-launch support
Not Included
Ongoing maintenance (available separately)
Custom model training (available separately)
Mobile app development
Marketing or growth services
Questions
AI MVP FAQ
How fast can you build an AI MVP?
We ship production-ready AI MVPs in 2 to 4 weeks. The exact timeline depends on scope complexity, data availability, and integration requirements. Our fixed-scope process eliminates scope creep and ensures predictable delivery. We provide weekly demos so you see progress continuously, not just at the end.
What tech stack do you use for AI MVP development?
We use a modern, proven stack: Next.js or React for frontend, Python (FastAPI or Django) for backend, and cloud AI APIs (OpenAI, Anthropic, Google Gemini) or open-source models (Llama, Mistral) for AI capabilities. For data, we use PostgreSQL with pgvector, Redis for caching, and deploy to Vercel, AWS, or Google Cloud. The stack is chosen based on your specific requirements, not forced on you.
What is included in your AI MVP development service?
Our AI MVP development service includes: (1) Discovery and use-case definition, (2) UX/UI design and prototyping, (3) Frontend and backend development, (4) AI model integration (LLMs, embeddings, agents), (5) Database and vector store setup, (6) Authentication and security, (7) Production deployment, (8) Documentation and handoff, (9) 30 days of post-launch support. We do not include ongoing maintenance, custom model training (unless scoped), or marketing — but we can scope those separately.
How much does an AI MVP cost?
AI MVP projects start at $10,000 for a scoped prototype with core AI functionality. Full production systems typically range from $15,000 to $35,000 depending on features, integrations, and timeline. We provide fixed-scope quotes after a free discovery call so there are no surprises.
Do you work with non-technical founders?
Yes, about 60% of our clients are non-technical founders. We translate business requirements into technical specifications, handle all engineering decisions, and communicate progress in business terms — not jargon. You do not need to know Python or understand vector databases. You need to know your business, your users, and what success looks like. We handle the rest.
Have an AI Idea? Let's Build It.
Most AI projects never ship. Yours will. Book a free call and we'll outline exactly how fast we can get your MVP to production.