AI Journey

Pioneering Human-AI Collaboration for the Next Generation

Pioneering Human-AI Collaboration

Building the frameworks our children will need to thrive with AI—where human wisdom and artificial intelligence create value greater than the sum of their parts.

Applying the Fitzgerald Principle to AI: holding the opposing ideas of human irreplaceability AND AI capabilities simultaneously.

What Makes This Approach Different

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Complementarity Over Replacement

AI doesn't replace humans—it amplifies our unique capabilities: moral agency, creativity, and embodied wisdom.

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Three-Hat Framework

Rapid context switching: Systems Architect → Product Manager → Implementation. Live-tested across 3+ client projects.

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Living Lab Validation

Every framework is tested in real implementations. Proof over promises, experiments over theories.

Choose Your Learning Path

Different entry points based on your current experience and goals. All paths lead to the same destination: effective human-AI collaboration.

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New to AI?

Start with the philosophical foundation and gradually build technical skills.

1. Why Human-AI Collaboration →2. Three-Hat Framework Overview →3. Start with LLM Communication →
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Technical Background?

Jump straight into advanced implementations and leadership frameworks.

1. Three-Hat Technical Leadership →2. Claude Mastery Deep Dive →3. Agent & RAG Systems →

Featured Highlights

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Claude Mastery Program

8 comprehensive modules covering everything from prompt engineering to computer use capabilities.

📚 Prompt Engineering • 🛠️ Tool Use • 🖥️ Computer Use • 👁️ Vision & Multimodal
Explore Claude Mastery →
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Three-Hat Framework

Breakthrough methodology for technical leadership in AI projects. Currently active on 3 client projects.

🏗️ Systems Architecture • 📊 Product Management • 💻 Implementation
See Framework in Action →
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Living Lab Results

Real implementations proving that human-AI collaboration creates value greater than the sum of parts.

📊 Case Studies • 🔬 Active Experiments • 📈 Measurable Results
View Live Results →

Current Experiments

⚡ ADHD-AI Optimization

Hypothesis: ADHD cognitive patterns provide natural advantages for AI collaboration speed and context switching.

Status: Active research with preliminary validation

🎯 2-Minute Rule for AI

If users can't achieve first success within 2 minutes, the AI architecture has failed. Now testing across domains.

Status: Proven in 3 implementations

Ready to Pioneer?

Start your journey into human-AI collaboration. Every framework here is battle-tested and ready to implement.

Start with Why AIDive into Claude Mastery
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