Stop Planning. Start Shipping.

You have an AI automation idea. Maybe it’s been sitting in your backlog for months. Maybe your team keeps talking about it but never starts. Maybe you tried building it but got stuck in complexity. We turn that idea into production reality in 6 weeks.

The 6-Week MVP Process

1

Week 1: Discovery & Architecture

Monday: Kickoff call to understand your vision and constraintsTuesday-Wednesday: Map workflows and identify integration pointsThursday: Present technical architecture for approvalFriday: Finalize specifications and success metrics
2

Week 2: Core Development

Build the foundation:
  • Set up infrastructure and deployment pipeline
  • Implement core business logic
  • Create data models and storage layer
  • Build authentication and security
3

Week 3: Intelligence Layer

Add the AI magic:
  • Integrate LLM capabilities (GPT-4, Claude, etc.)
  • Implement prompt engineering and optimization
  • Build error handling and fallback systems
  • Create structured output generation
4

Week 4-5: Integration & Testing

Connect everything:
  • API integrations and webhooks
  • Third-party service connections
  • End-to-end testing scenarios
  • Performance optimization
5

Week 6: Polish & Deploy

Ship to production:
  • Complete testing and edge case handling
  • Deploy to your environment
  • Conduct handoff training with your team
  • Deliver documentation and maintenance guides

What Makes a Good MVP Candidate?

  • Clear, repetitive workflow to automate
  • Existing manual process taking 10+ hours weekly
  • Available data sources and APIs
  • Single core use case to optimize
  • Team ready to adopt new tooling
Examples:
  • Lead qualification system
  • Document processing pipeline
  • Content generation workflow
  • Customer support automation
  • Data extraction and reporting

Technology Stack

Core Technologies

TypeScript, React, Next.js, Node.js, Hono, Vite

AI/LLM Platforms

OpenAI GPT-4, Claude 3.5, Gemini, Llama, Mistral

Automation & Workflows

Playwright, n8n, Kestra, BullMQ, Trigger.dev

Infrastructure

Railway, Tailwind CSS, Zustand, TanStack Query

View Full Tech Stack

See our complete technology stack with detailed explanations of why we chose each tool and how they work together to ship production-ready systems.

See Our Work in Action

Check out our open source projects and examples on GitHubWe believe in showing, not telling. Our GitHub showcases real implementations, from Chrome extensions to LLM workflows.

Why Our Approach Works

Success Metrics We Target

What Happens After the MVP?

Option 1: Run With It

Your team takes ownership and extends the system. We provide complete source code, documentation, and 30 days of support.

Option 2: Iterate Together

Continue development with our sprint cycles. Add features based on user feedback, scale to handle more volume, optimize performance.

Option 3: Full Production

Upgrade to enterprise-ready system with advanced monitoring, multi-tenant architecture, compliance audits, and custom UI.

Common Questions

Client Testimonial

“We talked about building this for 6 months. Doug’s team built it in 3 weeks. It’s been running in production for 8 months, processing millions of data points.” > > — CTO, B2B Analytics Platform

Start Your MVP Sprint