Building in the open with AI systems
Practical examples of AI-assisted product development. Every project documented with prompts, process, and lessons learned—because the future of work is human + AI collaboration.
Current AI-Assisted Projects
This Portfolio Website
The Challenge
Create a professional portfolio that demonstrates AI-assisted development capabilities while maintaining high design standards and performance.
AI Tools Used
- • Claude Sonnet 4 - Architecture, component design, and optimization
- • GPT-4 - Initial scaffolding and content generation
- • GitHub Copilot - Code completion and debugging
Key Features Built
- • Responsive design with smooth scroll animations
- • TypeScript + Framer Motion integration
- • Performance-optimized image handling
- • SEO and accessibility compliance
- • Modular component architecture
"You Do You" Values Discovery Workshop
Project Overview
Interactive coaching app that guides users through a values assessment process, helping them identify their core values and connect them to career decisions.
AI-Assisted Elements
- • UX Flow Design - AI-generated user journey mapping
- • Content Creation - Values descriptions and assessment questions
- • Visual Design - Color palette and component styling
- • Personalized Outcomes - Dynamic results based on user selections
Technical Implementation
- • Mobile-first progressive web app
- • Tournament-style value comparison algorithm
- • Real-time progress tracking
- • Integrated booking system for follow-up coaching
- • Analytics for user engagement optimization
My AI Development Philosophy
Transparent Process
Every AI interaction is documented. Prompts, iterations, and decision points are shared openly to build trust and demonstrate methodology.
Human + AI Hybrid
AI accelerates development but human judgment drives strategy, quality, and ethical considerations. The goal is augmented intelligence.
Value-Driven Results
Every AI-assisted project must deliver measurable user value while maintaining accessibility, performance, and ethical design principles.
Pipeline: Upcoming Builds
E-commerce Analytics Dashboard
PlanningAI-powered insights dashboard for e-commerce strategy teams. Will demonstrate data visualization, natural language queries, and automated reporting.
Career Coaching Automation
ResearchAI-assisted career coaching tools that help identify core values and create actionable development plans. Testing ethical AI in personal development.
AI Development Toolkit
AI Models & Platforms
Technical Stack
Core Competencies
- • Prompt engineering & chain-of-thought reasoning
- • AI-assisted code review and optimization
- • Responsible AI implementation patterns
- • Human-AI workflow design
- • Performance monitoring for AI-generated code
- • AI tool evaluation and selection
Want to explore AI-assisted development together?
I'm always interested in discussing AI workflows, sharing learnings, or collaborating on projects that push the boundaries of human-AI collaboration.