Building in public:systematic excellence
Origin Story: From Experiment to Methodology
Piper Morgan began as a systematic experiment in AI-assisted product management. What would happen if we treated AI collaboration as a core PM skill, documented every decision, and shared every breakthrough?
The answer surprised us. By applying systematic verification, test-driven development, and transparent methodology development, we didn't just build a tool—we discovered an entirely new approach to PM excellence that compounds over time.
Today, Piper Morgan demonstrates how AI can systematically enhance human PM expertise through verified patterns, ethical boundaries, and systematic excellence. Every feature we build proves that AI augmentation, done right, creates capabilities neither human nor AI could achieve alone.
The Excellence Flywheel Methodology
Systematic Excellence Through AI Collaboration
Our breakthrough methodology turns each implementation into accelerated future work. Through systematic verification, multi-agent coordination, and transparent development, we've achieved implementation speeds that seemed impossible while maintaining 100% quality standards.
The Four Pillars
- Systematic Verification First: Always check existing patterns before implementing. This single practice delivers 300-500% speed improvements.
- Test-Driven Development: Tests drive architecture. 100% coverage maintained even during rapid development.
- Multi-Agent Coordination: Strategic deployment of specialized AI agents with clear handoff protocols.
- GitHub-First Tracking: Every decision tracked with clear acceptance criteria and systematic documentation.
Proven Breakthrough Results
- 15-minute ADR migrations (previously 2+ hours)
- Zero architectural drift across 50+ implementations
- 642x performance improvements through systematic optimization
- Ethics-first architecture that makes violations technically impossible
- 100% test success rates maintained during rapid feature development
The Compound Effect
Each verified pattern becomes a reusable asset. Each test becomes future confidence. Each documentation update becomes team knowledge. This creates a flywheel where every implementation makes the next one faster and more reliable.
Meet Christian: PM × AI Integration Specialist
Christian Crumlish is a product management professional with deep expertise in civic technology, systematic methodology development, and AI integration. Through Piper Morgan, he's demonstrating how AI can systematically enhance rather than replace human PM expertise.
Background & Philosophy
- • Senior Product Manager with civic technology focus at Kind Systems
- • AI Integration Pioneer developing practical human-AI collaboration patterns
- • Systematic Excellence Advocate proving that rigorous methodology accelerates rather than slows development
- • Building-in-Public Practitioner sharing every decision, breakthrough, and lesson learned
Vision for PM × AI
"AI doesn't replace PM judgment—it amplifies it systematically. Through transparent methodology development and ethical-first architecture, we're proving that human-AI collaboration can achieve capabilities neither could reach alone."
Current Mission: Demonstrate that AI-augmented product management, done with systematic excellence, creates compound value that transforms how we approach strategic work.
Why This Matters
The product management profession is at an inflection point. AI tools promise to "replace" PM work, but that misses the real opportunity: systematic augmentation that preserves human strategic thinking while accelerating execution and insights. Piper Morgan proves this approach works.
Join the systematic excellence journey
Get behind-the-scenes insights into our methodology development, breakthrough discoveries, and practical frameworks you can apply to your own PM work. Watch as we transform AI-assisted product management from experiment to systematic practice.
- ✓Weekly methodology insights and breakthrough discoveries
- ✓Behind-the-scenes development updates and decision rationale
- ✓Early access to new tools and systematic frameworks
- ✓Practical templates and patterns you can immediately apply
- ✓Direct insight into human-AI collaboration patterns that actually work
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