AI Product Engineering
Turning ambiguous workflows into scoped, built, and shipped AI-native software.
Prince Ampong
AI Product Engineer
AI Product Engineer building execution systems for real-world workflows.
I build AI-native tools, agent workflows, and full-stack systems that turn messy business problems into usable software.
I treat AI as infrastructure, not a feature.
Previously worked across growth systems and ecommerce infrastructure before transitioning into AI-native product engineering and workflow systems.
Work
Forward Deployed Systems
Discovery, technical scoping, system design, prototyping, and deployment with users.
Business Infrastructure
Growth, ecommerce, analytics, and operational systems as a practical product edge.
Selected Projects
FocusTrim
AI-first ADHD execution platform focused on reducing friction between intent and execution.
- Problem
- Tasks, routines, and decisions break down when planning is separated from action.
- Built
- Voice workflows, AI agents, execution systems, and a modular product architecture.
- Stack
- Vercel, Supabase, OpenAI APIs, full-stack web architecture.
- Impact
- Designed to make personal execution faster, lower-friction, and more adaptive.
AI Care OS
Healthcare coordination and operational workflow system for home care management.
- Problem
- Care teams need tighter coordination across visits, medication, and patient status.
- Built
- WhatsApp workflows, nurse check-ins, medication tracking, patient summaries, and AI-assisted operational coordination.
- System Notes
- Offline-first thinking for field conditions and fragmented communication loops.
- Impact
- Built around clearer handoffs, faster summaries, and less manual operational drag.
V3 Product Intelligence System
AI-powered ecommerce intelligence dashboard for product analysis and operational insights.
- Problem
- Ecommerce teams need structured product intelligence from messy catalog data.
- Built
- SKU extraction, AI-assisted categorization, moat analysis, CSV/PDF exports, and dashboard workflows.
- System Notes
- Structured workflows for repeatable analysis instead of one-off research output.
- Impact
- Designed to shorten product review cycles and make operational insights reusable.
Shopify / Meta Automation Infrastructure
Operational systems and automation workflows supporting ecommerce growth and reporting pipelines.
- Problem
- Growth teams lose time when reporting, campaign data, and operations stay manual.
- Built
- Reporting systems, workflow automation, operational dashboards, and analytics pipelines.
- Stack
- Shopify, Meta workflows, analytics tooling, and business automation systems.
- Impact
- Created growth infrastructure for faster decisions and cleaner operating cadence.
Tech Stack
Frontend
React, Next.js, TypeScript, Tailwind CSS
Backend
Node.js, Supabase, PostgreSQL, APIs, Serverless Architecture, Vercel
AI
OpenAI APIs, AI Agents, Structured Outputs, Prompt Engineering, Workflow Automation, RAG Concepts
Product / Systems
Ecommerce Systems, Operational Workflows, Analytics, GTM Infrastructure, AI Deployment Thinking
About
My edge is the intersection of engineering, product intuition, and operational systems thinking. I can understand workflows, design the system, build the prototype, and iterate quickly with real-world feedback.
How I Work
I lead from the workflow: discovery, technical scoping, system design, prototype, and rollout. The best AI products do not start as demos. They start as a clear read on the operator, the constraint, and the smallest system that can create leverage.