Co-Founder & CEO · Product Box · Nov 2024 – Present
Product Box
Building AI-native product teams that deliver 3X faster than traditional teams. Launched as a product studio, expanded into AI training and org design services.
48hrs
Fastest Delivery
Discovery to live product
5
AI Products
3 weeks avg. to beta
4/5
Adoption Rate
Incorporated into client SOPs
72%
Throughput Increase
Client-reported improvement
The Challenge
Traditional product teams are slow and expensive. Founders and SMEs need to ship products faster but lack the expertise to leverage AI tools effectively. The market needed a new model for product development.
The Approach
- 01Developed AI-native team structure: 1 PM + 1 Engineer + 2-3 coding agents
- 02Created AI-first discovery & delivery methodology for non-technical founders
- 03Built training curriculum for agentic workflows and MCP servers
- 04Focused on internal operations automation before customer-facing features
The Solution
Using Claude Code, MCP servers, and sub-agents, our teams deliver entire products at 3X the speed of traditional teams. The PM owns scoping, design, frontend & GTM while the engineer handles backend, database, deployment & testing. This model scales to training and org design services.
We launched a new product in under 48 hours from initial discovery to live deployment. That would have taken weeks with a traditional team.
Key Learnings
- •AI coding agents are force multipliers, not replacements—they need skilled humans to direct them
- •The PM role evolves to include more frontend and GTM when working with AI tools
- •19 workshops in 12 months proved the demand for AI training in the founder community
- •Starting with internal operations builds trust before tackling customer-facing features
Interested in discussing this project or working together?